Science topics: Computer Science
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I am currently undertaking a computer science with cyber security MSc and have been trying to find topics of study for the independent research project which would be interesting to me and I am struggling and am looking for a pointer in the right direction.
I would like to undertake something that is in some way practical in nature to keep it interesting, and the topic has to include some elements of security.
My interests through work are mainly developing serverless applications on AWS and event driven applications and cloud computing but I am really struggling to find something that is both interesting and isn't purely research based and theoretical.
Any pointers would be gratefully received, I still have another four months until I need to write the project proposal but I have already been trying to find something that sparks my interest for the last month or two with little success.
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Dear Paul Ockleford,
I propose the following topic for the master's thesis on cybersecurity issues: Applications of blockchain and machine learning technologies and other Industry 4.0 technologies as part of improving the cybersecurity risk management of IT systems operating in computing cloud computing environments, in systems based on the Internet of Things, Big Data, and smart technology solutions etc. The research topic may also concern the improvement of techniques and risk management of cybersecurity of information systems used in internet banking and mobile banking.
Best regards,
Dariusz
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We are trying to measure empathy in the Software Engineering domain and based on our investigation most of the available scales are designed for and used in psychology or medical domains. It would be very helpful if you can share any empathy scale which is developed for or which is used in software engineering domain.
I am looking for a scale which is developed specifically for software engineering domain or which has been used previously in software engineering domain or a scale which assess intergroup empathy.
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Hello,
I have seen interesting studies on energy which use Machine Learning algorithms. As I have a mechanical engineering background I am not sure if I can learn and use machine learning. Is it required to have a computer science background? And are the available tools for machine learning easy to use by people from other disciplines?
Thank you
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It is not necessary to have a computer science background for learning ML. But you should know basic statistical methods and programming language. ML will definitely help you with energy forecasting.
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A very interesting topic, "quantification of randomness" in mathematics it is sometimes reffered to as "complex theory" (although it is more about pseudorandom than randomness) that is based on saying that a complicated series is more random and then there are tests for randomness in Statistics and perhaps the most intriguing test related to information theory -"entropy"(as also being of relevence to and result of second law of thermodynamics), while there are also random numbers generators (pseudorandom numbers generators) and true random numbers generators using quantum computing.
So, what I've been trying to, is making a complete list of all available algorithms or books or even random number generators that will allow me to tell me how much random a series is, allowing me to "quantify randomness".
There are 125 unique infinite series which are pseudorandom that I have discovered and generated based on a rule, now how do I test for randomness and quantify it? Uf the series is random or there is probably a pattern, or something that will allow me to predict the next number in the series given I don't know what the next number is.
Now, do anyone know of any github links based on any of the above? ^ (like anything related to quantifying randomness in general that you think will be helpful).
A book/books on quantifying randomness will be very very helpful too. Actually anything at all...
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You should check out seminal and fundamental work by Gregory Chaitin starting in 1965 when he was a student in CUNY (City Univ. of New York) and continuing through the 1970's.
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How can I find a list of open problems in Homotopy Type Theory and Univalent Foundations ?
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Regards,
Germán Benitez Monsalve
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How can I find a list of open problems in Homotopy Type Theory and Univalent Foundations ?
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Dear,
I recommend you the following website
Regards.
Germán Benitez
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Suggest the best topic for the thesis for the graduate level.
I have the best command on the network.
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Dear Prof. Saleh!
I am not certain about the best - option, since it is a subjective matter to consider, but I am certain the following topic is a relevant one:
"Cyber - resilience and computer science during the current COVID-19 pandemic: emerging new risks" >>
1) Drydakis, N. Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic. Inf Syst Front (2022). https://doi.org/10.1007/s10796-022-10249-6 Free access:
2) Carley, K.M. Social cybersecurity: an emerging science. Comput Math Organ Theory 26, 365–381 (2020). https://doi.org/10.1007/s10588-020-09322-9 Open access:
3) Verma, R. Smart City Healthcare Cyber Physical System: Characteristics, Technologies  and Challenges. Wireless Pers Commun 122, 1413–1433 (2022). https://doi.org/10.1007/s11277-021-08955-6 Free access:
Yours sincerely, Bulcsu Szekely
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Hello,
I graduated with a Master's degree in Computer Science and I have been working as a software engineer for 3 years.
At the moment I am planning to do my PhD in industry. I have some difficulties finding a topic.
So the research area would be requirement engineering, system engineering and cloud computing.
Do you have some topic suggestions or useful resources?
Thank you in advance.
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QoE assessment in IoT
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It is a long-cherished dream to publish my research paper to the scientific reports-nature as a researcher. I know this is not a good question, but I want to know in detail. My concern is that review articles are indexed in well-cited journals as far as I know because a review article is a combination of many of the state-of-the-art technique's insights. Although I have some research papers in the well-cited Q-1 journal and at the moment, I am thinking of submitting an article to the scientific reports-nature. It would be nice for me if you could give some detailed information about what kind of work is accepted in the computer science domain in nature scientific reports journal and whether the review article can be submitted.
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Of course not.
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I recently done a research project where I implemented AI application that applies on agriculture field to automate the manual stuff. Now I want to submit it to a good journal that matches that inter-discipline. If anyone suggest me some good journals for this, it will help me a lot.
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I second the suggestions above. The MDPI journals are open access and have a good impact but they charge a processing fee. I recently had an excellent experience with "Computers and Electronics in Agriculture". The review process was fast and the comments were constructive and friendly.
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I'm creating a CS k-12 scope and sequence and want to know what factors will increase enrollment.
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Yes, there is a great possibility of students' enrolling in high school computer science classes, who have prior experiences in computer science because through prior experiences, they already have developed their different necessary skills including creativity. A prior conception of this subject may lead to their being more interested in this subject in future.
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I got a message in my Inbox. Stating this:
"Thank you for getting back to me. My colleagues and I are applying for an immigration plan for the USA; it is called NIW, if you have heard of it. And for this plan we need to increase our citation to be eligible for a USA green-card. Because of this we need your assistance to cite our article in your future articles if you feel they are related to your field and worthy to be mentioned in your work. It is worth mentioning we have colleagues in different fields including engineering (environmental, mechanical, computer science, etc. ..), management and many others; therefore we can provide you with related articles to your field of research. Please let me know what you think of this offer, and if it is fine with you we can discuss the incentives."
Is anyone aware of this? How to report these kinds of people? and what is this strategy?
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These are SPAM Messages, simply ignore them.
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Good day,
My name is Philips Sanni. I am currently rounding up my MSc degree in Software Engineering and am currently in search of a university where I can study for a Ph.D.in a related field but most preferably in the area of Artificial Neural Networks.
And if you are a professor in a need of a Doctoral Student, kindly send the details of your research and how I can apply to your university.
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Service Engineering
Digital Ecosystems
Semantic Web / Linked Data
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As we know the demand for core branches like mechanical and electrical is slowly diminishing, I am really curious to know how far information technology will go or when it will start to decline.
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Computer scientists and engineers can have a huge impact on the future of the field and the future of the U.S. By serving in the government, they can design and launch new research initiatives, inform IT-related policy decisions, and serve as a catalyst for public-private partnerships involving government, industry
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Which Q1 and/or Q2 research journals for computer science and precision agriculture area are most suitable for speedy review and publication process? Free of charges Journals are preferables.
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Dear Abdelaaziz Hessane,
The first free of charge options that come to my mind are:
In my experiences, manuscripts have taken no longer than 8 months to be published in the abovementioned journals.
Alternatively, you can opt for journals from national communities; for example, in Brazil we also have:
They are open access at a very affordable cost.
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A lot of debate is around these two words. What do you think about these two streams?
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It depends on the career objectives. If it's more towards the design and building hardware then computer engineering is more relevant. On the other hand, computer science mainly targets those who wish to work in analyzing, designing and developing software systems. Of course, there are always some intersections between both disciplines but they are mainly distinguished this way.
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Taking into consideration that Australia has an active but, nevertheless, relatively small academic community, are there any signs that 'clinical' cognitive science research in Australia has really broken the barriers between the three traditionally involved disciplines, computer science, psychology and brain-related medicine, especially with the latter of the three (i.e., beyond one-off instances, or minority collaborations)?
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Sergii Boltivets Το γνωρίζω ήδη από τις πληροφορίες στη σελίδα σας. Μού κάνει εντύπωση που η Ελληνική είναι τόσο διαδεδομένη στην Ουκρανία. Στην Αυστραλία τη μιλούν μόνο οι Ελληνοαυστραλοί (ώς ένα βαθμό). Ευχαριστώ και πάλι.
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Currently, due to the data privacy and security concerns, there are less institutes willing to share their data. What can be done by both medical and computer science domain to deal with the issue?
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The current state of cybersecurity in the world doesn't allow or makes it prohibitively expensive for an easy access to open-sourced medical data. The lesser of the two evils must be chosen.
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I developed an approach for extracting aspects from reviews for different domains, now I have the aspects. I want some suggestion on how to use these aspects in different applications or tasks such as aspect based recommender system.
Note: Aspect usually refers to a concept that represents a topic of an item in a specific domain, such as price, taste, service, and cleanliness which are relevant aspects for the restaurant domain.
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We have a Computer Science and Communication Journal in the college (Journal of Computing and Communication ). We target to publish Research articles in all the disciplines of Computer Science and Communication. We plan to publish two issues per year. Can anyone tell me the ways and means to index the Journal in the google Scholar
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Also check please the following very useful link: https://scholar.google.com/intl/en/scholar/publishers.html
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Uses in applied mathematics and computer sciences
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Hi,
I am a researcher in Networks (computer science department) at Sohag university, Egypt
I am looking for a researcher from china in the same field to cooperate with to get a grant
Can you help me , please.
Thanks
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Hi
Do you any proposal for submission in this grant?
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I wonder why researchers in Computer Science and related fields don't like sharing their source code. Making papers source code open on platforms like Github would go a long way in helping upcoming researchers advance the paper and makes comparison with other works fair, since there might error in someone re-implementing the work on that paper in the process of making a comparison.
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I think this depends a lot on the traditions in the particular subfield of computer science. Some people view their code base as a competitive advantage that keep them ahead of other researchers. Others don't dare to share code since they are afraid that other people will find bugs.
On the other hand, some machine learning fields circle around using common datasets and reproducibility. I also think that students that learn about git in their undergraduates will also help changing the community.
I was quite early with sharing code in my research area, but I see that more people are doing it today than 10 years ago. Here is my GitHub: https://github.com/emilbjornson
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Hello everyone,
I am in the third year of Computer Science and my project is about social robots, I am doing the proposal, ethics form, and literature review about the social robot. The question above is in the ethics form.
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Methods used in the study should be standard and validated. The methods should be replicated in other studies too and produce almost similar results
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I want to check whether the ( Journal of Advances in Mathematics and Computer Science ISSN: 2456-9968 ) is a fake one or not? I could not find it in the Clarivate Analytics list.
Thanks for ur help!
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Fakes are everywhere these days.
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hello everyone
1- what are the best book, materials, program to teaching "analysis system and design" subject for computer science students?
2- what are the main points that students must know in this subject?
3- how can I divide this subject to 10 weeks and achieve a good result from students?
4- how make teaching this subject is interest?
5- I want source for practical part of the subject to make student apply what they learned
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In the Arabic language, the book methodological patterns of the author d. Anwar Hussein Abdul Rahman and d. Adnan Haqqi Zangana Baghdad 2007 edition
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As a newbie, I want to know that what are the key parameters to find whether a specific journal is fake or real?
I mean to publish a paper what parameters we should check to publish your research work in Pakistan?
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pls i need help on overview of programming language to guide me on my thesis, fifteen authors write ups needed. My M.Tech thesis topic is survey of strategies for enhancing computer science education undergraduate students learning of c++ programming language in
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Programming languages are used everywhere today.
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I want to dive deeper into data analytics, I have done quite a few basic projects e.g get a random dataset, clean/analysis it, and then make visualizations. However I want to conduct a more challenging project, e.g some web scraping, maybe using SQL and Python to analyze data and visualize it, to help solve some real-world potential scenarios. But as a typical computer science student, my brain isn't creative and struggling to think of valid ideas. One idea I had is to try to gather uber driving data at my uni and try to store this data into a SQL database and do some cleaning and analysis and try to visualize more busy spots etc.
Would be much appreciated to gather some ideas from those established in this field! thank you.
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It is good that you already have an idea which is to identify some busy spots using Uber data. But what next. What problems you are going to solve, scale of the problem at national and regional level, and for whom (audience). For this, conduct scoping review or narrative review on given field or topic of interest to identify the research gap or generate hypothesis.
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Which Q1 and Q2 research journal of computer science and cybersecurity area journal are most suitable for speedy review and publication process preferably not the paid journal?
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Check this list.
Deleted research item The research item mentioned here has been deleted
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Hello,
I am studying Computer Science and I am currently working on my Bachelor thesis. For that, I am looking for suitable datasets. My goal is to apply Process Mining to these datasets to identify and analyze interesting processes. However, the problem is that these datasets need to be in a certain format to be suitable for Process Mining. The data needs to have a Case Id, Activity, and Timestamp column. In other words, the data needs to be activity-based so that processes with different activity sequences can be found.
I wanted to ask if someone has any idea where I could find such datasets? I'd be most interested in datasets in sectors such as energy, waste management, public work (but other input would be helpful as well). So far I mainly could find the datasets from previous years' BPI challenges.
Here is a short page with more information about Process Mining and the desired format (including a brief example):
Any feedback would be highly appreciated.
Thanks in advance,
Louis
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If I create a website for customers to sell services, what ranking algorithms I can use to rank the gigs on the first page? In order words like Google use HITS, and pagerank to rank webpages, when I create my website, what ranking algorithms I can employ for services based website?
Any assistance or refer to scientific papers that can help me?
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Dear Mostafa Elsersy,
You can look at the following data:
What are algorithms used by websites?
An algorithm refers to the formula or process used to reach a certain outcome. In terms of online marketing, an algorithm is used by search engines to rank websites on search engine results pages (SERPs).
What is SEO algorithm?
As mentioned previously, the Google algorithm uses keywords as part of the ranking factors to determine search results. The best way to rank for your specific keywords is by doing SEO. SEO is essentially a way to tell search engines that a website or web page is about a particular topic.
How do you rank a website?
Follow these suggestions to improve your search engine optimization (SEO) and watch your website rise the ranks to the top of search-engine results.
  1. Publish Relevant, Authoritative Content. ...
  2. Update Your Content Regularly. ...
  3. Metadata. ...
  4. Have a link-worthy site. ...
  5. Use alt tags.
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I need a list of indexed scopus journals in computer science with acceptable fees (les than 500$) and monthly frequency.
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Scopus Indexed Journals in Computer Science
Print-ISSN   E-ISSN          Title
0365-0359  : 1825-1242  : AAPP Atti della Accademia Peloritana dei Pericolanti, Classe di Scienze Fisiche, Matematiche e Naturali
0360-0300  : 0000-0000  : ACM Computing Surveys
1523-2867  : 0000-0000  : ACM SIGPLAN Notices
1544-3558  : 1544-3965  : ACM Transactions on Applied Perception
2375-4699  : 2375-4702  : ACM Transactions on Asian and Low-Resource Language Information Processing
1529-3785  : 0000-0000  : ACM Transactions on Computational Logic
0734-2071  : 0000-0000  : ACM Transactions on Computer Systems
1094-9224  : 0000-0000  : ACM Transactions on Information and System Security
1556-4681  : 0000-0000  : ACM Transactions on Knowledge Discovery from Data
2158-656X  : 0000-0000  : ACM Transactions on Management Information Systems
1936-7406  : 1936-7414  : ACM Transactions on Reconfigurable Technology and Systems
1806-2563  : 1807-8664  : Acta Scientiarum - Technology
1551-9899  : 1552-0633  : Ad-Hoc and Sensor Wireless Networks
1582-7445  : 1844-7600  : Advances in Electrical and Computer Engineering
0178-4617  : 1432-0541  : Algorithmica
1787-5021  : 1787-6117  : Annales Mathematicae et Informaticae
0927-2852  : 1572-9095  : Applied Categorical Structures
1570-5838  : 1875-8533  : Applied Ontology
0005-1144  : 0000-0000  : Automatika
1895-9091  : 1896-530X  : Bio-Algorithms and Med-Systems
0340-1200  : 1432-0770  : Biological Cybernetics
0737-6278  : 0000-0000  : Bridge
2331-1916  : 0000-0000  : Cogent Engineering
0001-0782  : 0000-0000  : Communications of the ACM
0891-2513  : 0000-0000  : Complex Systems
1405-5546  : 0000-0000  : Computacion y Sistemas
1381-298X  : 0000-0000  : Computational and Mathematical Organization Theory
1687-5265  : 1687-5273  : Computational Intelligence and Neuroscience
0927-0256  : 0000-0000  : Computational Materials Science
1061-3773  : 1099-0542  : Computer Applications in Engineering Education
1361-3723  : 0000-0000  : Computer Fraud and Security
0010-4620  : 1460-2067  : Computer Journal
1865-2034  : 0000-0000  : Computer Science - Research and Development
1820-0214  : 0000-0000  : Computer Science and Information Systems
0899-3408  : 1744-5175  : Computer Science Education
1574-0137  : 0000-0000  : Computer Science Review
0925-9724  : 1573-7551  : Computer Supported Cooperative Work
0267-6192  : 0000-0000  : Computer Systems Science and Engineering
8755-4615  : 0000-0000  : Computers and Composition
0360-1315  : 0000-0000  : Computers and Education
0045-7906  : 0000-0000  : Computers and Electrical Engineering
0045-7930  : 0000-0000  : Computers and Fluids
0360-8352  : 0000-0000  : Computers and Industrial Engineering
0305-0548  : 0000-0000  : Computers and Operations Research
0167-4048  : 0000-0000  : Computers and Security
0166-3615  : 0000-0000  : Computers in Industry
0738-0569  : 1528-7033  : Computers in the Schools
1521-9615  : 0000-0000  : Computing in Science and Engineering
1471-4175  : 1477-0857  : Construction Innovation
1454-8658  : 0000-0000  : Control Engineering and Applied Informatics
1311-9702  : 1314-4081  : Cybernetics and Information Technologies
1060-0396  : 1573-8337  : Cybernetics and Systems Analysis
1365-8050  : 0000-0000  : Discrete Mathematics and Theoretical Computer Science
1040-7413  : 1532-6969  : Ecological Psychology
1571-0661  : 0000-0000  : Electronic Notes in Theoretical Computer Science
2095-8099  : 0000-0000  : Engineering
1994-2060  : 1997-003X  : Engineering Applications of Computational Fluid Mechanics
1225-6463  : 0000-0000  : ETRI Journal
1687-3955  : 1687-3963  : Eurasip Journal on Embedded Systems
1931-7883  : 0000-0000  : Foundations and Trends in Databases
0867-6356  : 2300-3405  : Foundations of Computing and Decision Sciences
2095-2228  : 2095-2236  : Frontiers of Computer Science
1328-3154  : 0000-0000  : Global Journal of Engineering Education
2075-1087  : 2075-1109  : Gyroscopy and Navigation
1812-3368  : 0000-0000  : Herald of the Bauman Moscow State Technical University, Series Natural Sciences
1671-4512  : 0000-0000  : Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
1819-656X  : 1819-9224  : IAENG International Journal of Computer Science
0018-8646  : 0000-0000  : IBM Journal of Research and Development
1881-803X  : 0000-0000  : ICIC Express Letters
2185-2766  : 0000-0000  : ICIC Express Letters, Part B: Applications
2169-3536  : 0000-0000  : IEEE Access
1058-6180  : 0000-0000  : IEEE Annals of the History of Computing
1943-0663  : 1943-0671  : IEEE Embedded Systems Letters
2168-6831  : 0000-0000  : IEEE Geoscience and Remote Sensing Magazine
1548-0992  : 0000-0000  : IEEE Latin America Transactions
1949-3053  : 0000-0000  : IEEE Transactions on Smart Grid
1511-788X  : 2289-7860  : IIUM Engineering Journal
2061-2079  : 2061-2125  : Infocommunications Journal
1098-3058  : 1943-4294  : Information Technology and Tourism
1555-1229  : 1555-1237  : Interdisciplinary Journal of Information, Knowledge, and Management
1683-3198  : 0000-0000  : International Arab Journal of Information Technology
0219-1989  : 0000-0000  : International Game Theory Review
1755-0386  : 1755-0394  : International Journal of Advanced Intelligence Paradigms
1754-8632  : 1754-8640  : International Journal of Autonomous and Adaptive Communications Systems
1758-0366  : 1758-0374  : International Journal of Bio-Inspired Computation
1875-6891  : 1875-6883  : International Journal of Computational Intelligence Systems
1684-4769  : 0000-0000  : International Journal of Computer Science in Sport
1757-8779  : 1757-8787  : International Journal of Critical Computer-Based Systems
2005-4270  : 0000-0000  : International Journal of Database Theory and Application
1941-6296  : 1941-630X  : International Journal of Decision Support System Technology
1947-3176  : 1947-3184  : International Journal of Embedded and Real-Time Communication Systems
2156-177X  : 2156-1761  : International Journal of Fuzzy System Applications
2005-4262  : 0000-0000  : International Journal of Grid and Distributed Computing
1476-072X  : 0000-0000  : International Journal of Health Geographics
1935-570X  : 1935-5718  : International Journal of Information Technologies and Systems Approach
1554-1045  : 1554-1053  : International Journal of Information Technology and Web Engineering
1756-378X  : 0000-0000  : International Journal of Intelligent Computing and Cybernetics
2185-310X  : 2185-3118  : International Journal of Intelligent Engineering and Systems
1740-8865  : 1740-8873  : International Journal of Intelligent Systems Technologies and Applications
1941-8647  : 0000-0000  : International Journal of Mobile and Blended Learning
1742-7371  : 0000-0000  : International Journal of Pervasive Computing and Communications
1755-0556  : 1755-0564  : International Journal of Reasoning-based Intelligent Systems
0218-5393  : 0000-0000  : International Journal of Reliability, Quality and Safety Engineering
1875-4791  : 1875-4805  : International Journal of Social Robotics
1548-7199  : 1548-7202  : International Journal of Unconventional Computing
1741-1084  : 1741-1092  : International Journal of Wireless and Mobile Computing
2088-5334  : 2460-6952  : International Journal on Advanced Science, Engineering and Information Technology
1942-9703  : 0000-0000  : Internetworking Indonesia Journal
2251-8223  : 2251-8231  : Iranian Journal of Information Processing Management
1943-023X  : 0000-0000  : Journal of Advanced Research in Dynamical and Control Systems
1868-5137  : 0000-0000  : Journal of Ambient Intelligence and Humanized Computing
1557-5969  : 1557-5977  : Journal of Cellular Automata
1877-7503  : 0000-0000  : Journal of Computational Science
1991-1599  : 0000-0000  : Journal of Computers (Taiwan)
1330-1136  : 1846-3908  : Journal of Computing and Information Technology
2090-0147  : 2090-0155  : Journal of Electrical and Computer Engineering
1112-5209  : 0000-0000  : Journal of Electrical Systems
1526-1719  : 0000-0000  : Journal of Graph Algorithms and Applications
2337-5787  : 0000-0000  : Journal of ICT Research and Applications
1675-414X  : 2180-3862  : Journal of Information and Communication Technology
0387-6101  : 1882-6652  : Journal of Information Processing
1933-1681  : 1933-169X  : Journal of Information Technology and Politics
1547-9714  : 1539-3585  : Journal of Information Technology Education:Research
1938-7857  : 0000-0000  : Journal of Information Technology Research
1319-1578  : 2213-1248  : Journal of King Saud University - Computer and Information Sciences
1687-9600  : 1687-9619  : Journal of Robotics
0915-3942  : 1883-8049  : Journal of Robotics and Mechatronics
1328-7265  : 0000-0000  : Journal of Systems and Information Technology
0104-6500  : 0000-0000  : Journal of the Brazilian Computer Society
2250-2106  : 2250-2114  : Journal of The Institution of Engineers (India): Series B
1992-8645  : 1817-3195  : Journal of Theoretical and Applied Information Technology
0948-695X  : 0948-6968  : Journal of Universal Computer Science
1860-5974  : 0000-0000  : Logical Methods in Computer Science
0127-9084  : 0000-0000  : Malaysian Journal of Computer Science
0378-4754  : 0000-0000  : Mathematics and Computers in Simulation
1865-9284  : 1865-9292  : Memetic Computing
1803-3814  : 0000-0000  : Mendel
1574-1702  : 0000-0000  : Multiagent and Grid Systems
1543-0537  : 0000-0000  : Nonlinear Optics Quantum Optics
0925-3467  : 0000-0000  : Optical Materials
1060-992X  : 0000-0000  : Optical Memory and Neural Networks (Information Optics)
0128-7680  : 0000-0000  : Pertanika Journal of Science and Technology
0929-0907  : 1569-9943  : Pragmatics and Cognition
1542-7730  : 1542-7749  : Queue
1874-4796  : 0000-0000  : Recent Patents on Computer Science
1342-3819  : 0000-0000  : Research Reports on Information Science and Electrical Engineering of Kyushu University
1697-7912  : 1697-7920  : RIAI - Revista Iberoamericana de Automatica e Informatica Industrial
1646-9895  : 0000-0000  : RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
1453-8245  : 0000-0000  : Romanian Journal of Information Science and Technology
1895-1767  : 0000-0000  : Scalable Computing
1732-3916  : 2083-8476  : Schedae Informaticae
1674-733X  : 1862-2836  : Science China Information Sciences
0147-6882  : 0000-0000  : Scientific and Technical Information Processing
1843-8121  : 2248-2695  : Scientific Annals of Computer Science
0097-5397  : 1095-7111  : SIAM Journal on Computing
1220-1766  : 1841-429X  : Studies in Informatics and Control
2210-5379  : 0000-0000  : Sustainable Computing: Informatics and Systems
2210-6502  : 0000-0000  : Swarm and Evolutionary Computation
0167-6911  : 0000-0000  : Systems and Control Letters
0304-3975  : 0000-0000  : Theoretical Computer Science
1347-8826  : 0000-0000  : Transactions of the Japan Society for Computational Engineering and Science
1300-0632  : 1303-6203  : Turkish Journal of Electrical Engineering and Computer Sciences
1835-9795  : 0000-0000  : Ubiquitous Learning
1994-9197  : 2076-5959  : Vestnik Udmurtskogo Universiteta: Matematika, Mekhanika, Komp'yuternye Nauki
1942-4787  : 0000-0000  : Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
0255-8297  : 0000-0000  : Yingyong Kexue Xuebao/Journal of Applied Sciences
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How possible can a researcher in the computer science, software engineering school, or Information Technology related field suggest a research topic for a research student in business school especially marketing?
Recently, as a Ph.D. candidate, I have been confronted by some friends who are in business school studying Management, Marketing, etc. to suggest some research topics for them.
I would like to know the possibility of an I.T student to give a topic to such students.
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Ask them about their open question research. See whether IT, AI, or ML fit to the scope of their problem and what advantages they bring.
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Hi reader,
I'm conducting a research on digital literacy and its linkage to the digital economy in a developing country like Pakistan.
I'm looking for experts in the following areas: economics, literacy, primary acedemia, digital economy, entrepreneurship, digital literacy, computer science, computer engineering, IT, as well as other associated fields.
I would be really grateful if you could take some time out to fill my questionnaire survey.
This quetionnaire corresponds to my first area of focus: impact of digital literacy on the digital economy.
For context: the digital economy embodies all economic transactions that either require the use of digital technologies or are related to the selling & purchasing of digital goods & services.
For the scope of this study, digital literacy has been defined through some key competences as outlined by the UN in their Digital Literacy Global Framework. The purpose of this study is to determine whether there is a relationship between digital literacy and growth in the digital economy. Furthermore, this study aims to map the relationships o fthe competencies of digital literacy against the factors leading to growth in the digital economy.
For any queries and concerns, you may reach out to us via email at gem1974@giki.edu.pk
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Digital literacy means having the skills you need to live, learn, and work in a society where communication and access to information is increasingly through digital technologies like internet platforms, social media, and mobile devices. ... Communication is also a key aspect of digital literacy.
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There are high-status conferences such as NeurIPS, ICSE, and ACL. Sometimes they accept more than 1000 papers each year.
On the other hand, there are several Q1 journals (with high impact factors) in each category.
Based on your experience, what would be the pros and cons of each one for you as a researcher? How well they are received when you are applying for a position?
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Generally, academic institutes prefer Scopus/WOS indexed journals rather than conferences, and even give more credits for that.
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my paper is based on deep learning
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Which journals in computer science is free for publish?
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International Journal of Computers and Applications
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If you’re looking for collaborators to work in any computer science related field, I am an Undergrad CS student, passionate to research.
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Please have look on our(Eminent Biosciences (EMBS)) collaborations.. and let me know if interested to associate with us
Our recent publications In collaborations with industries and academia in India and world wide.
EMBS publication In association with Universidad Tecnológica Metropolitana, Santiago, Chile. Publication Link: https://pubmed.ncbi.nlm.nih.gov/33397265/
EMBS publication In association with Moscow State University , Russia. Publication Link: https://pubmed.ncbi.nlm.nih.gov/32967475/
EMBS publication In association with Icahn Institute of Genomics and Multiscale Biology,, Mount Sinai Health System, Manhattan, NY, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
EMBS publication In association with University of Missouri, St. Louis, MO, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30457050
EMBS publication In association with Virginia Commonwealth University, Richmond, Virginia, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with ICMR- NIN(National Institute of Nutrition), Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
EMBS publication In association with University of Minnesota Duluth, Duluth MN 55811 USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with University of Yaounde I, PO Box 812, Yaoundé, Cameroon. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
EMBS publication In association with Federal University of Paraíba, João Pessoa, PB, Brazil. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30693065
Eminent Biosciences(EMBS) and University of Yaoundé I, Yaoundé, Cameroon. Publication Link: https://pubmed.ncbi.nlm.nih.gov/31210847/
Eminent Biosciences(EMBS) and University of the Basque Country UPV/EHU, 48080, Leioa, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852204
Eminent Biosciences(EMBS) and King Saud University, Riyadh, Saudi Arabia. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and NIPER , Hyderabad, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and Alagappa University, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
Eminent Biosciences(EMBS) and Jawaharlal Nehru Technological University, Hyderabad , India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and C.S.I.R – CRISAT, Karaikudi, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237676
Eminent Biosciences(EMBS) and Karpagam academy of higher education, Eachinary, Coimbatore , Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Ballets Olaeta Kalea, 4, 48014 Bilbao, Bizkaia, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
Eminent Biosciences(EMBS) and Hospital for Genetic Diseases, Osmania University, Hyderabad - 500 016, Telangana, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and School of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Panangad-682 506, Cochin, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27964704
Eminent Biosciences(EMBS) and CODEWEL Nireekshana-ACET, Hyderabad, Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26770024
Eminent Biosciences(EMBS) and Bharathiyar University, Coimbatore-641046, Tamilnadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27919211
Eminent Biosciences(EMBS) and LPU University, Phagwara, Punjab, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/31030499
Eminent Biosciences(EMBS) and Department of Bioinformatics, Kerala University, Kerala. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and Gandhi Medical College and Osmania Medical College, Hyderabad 500 038, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27450915
Eminent Biosciences(EMBS) and National College (Affiliated to Bharathidasan University), Tiruchirapalli, 620 001 Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27266485
Eminent Biosciences(EMBS) and University of Calicut - 673635, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
Eminent Biosciences(EMBS) and NIPER, Hyderabad, India. ) Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and King George's Medical University, (Erstwhile C.S.M. Medical University), Lucknow-226 003, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579575
Eminent Biosciences(EMBS) and School of Chemical & Biotechnology, SASTRA University, Thanjavur, India Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579569
Eminent Biosciences(EMBS) and Safi center for scientific research, Malappuram, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Dept of Genetics, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25248957
EMBS publication In association with Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26229292
Sincerely,
Dr. Anuraj Nayarisseri
Principal Scientist & Director,
Eminent Biosciences.
Mob :+91 97522 95342
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I have started my Master's degree in software engineering a few months ago, and I am looking currently for trends and hot topics in the software engineering area.
I would really appreciate any suggestions for my thesis topic
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Requirement priortization using Neural Network, AHP, Fuzzy
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Mendeley and EndNote
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Suppose I want to teach beginner first- and second-year university students, possibly as a first programming language, or they maybe have some programming background in another language. What Python programming textbooks do you suggest?
Also, what Python programming textbooks do you suggest for teaching advanced topics?
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You are most welcome dear Dr Alia Alkameli .
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Here is the link to the journal homepage.
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As indicated on their site,
the review takes about 5.8 weeks while online publication takes 2.4 weeks.
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The template of this journal keeps throwing errors of the kind: "There is no line to end here" and therefore cannot run. Anyone help me sort out this challenge. Or alternatively grant me a running template. Thanks
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Adnan Majeed Have you tried running it that way? Did it run successfully?
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The question of how computers can contribute to controlling the COVID-19 pandemic is being posed to experts in artificial intelligence (AI) all over the world.
AI tools can help in many different ways. They are being used to predict the spread of the coronavirus, map its genetic evolution as it transmits from human to human, speed up diagnosis, and in the development of potential treatments, while also helping policymakers cope with related issues, such as the impact on transport, food supplies and travel.
But in all these cases, AI is only effective if it has sufficient examples to learn from. As COVID-19 has taken the world into unchartered territory, the "deep learning" systems, which computers use to acquire new capabilities, don’t necessarily have the data they need to produce useful outputs.
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Computer science can contribute in various ways. Some are mentioned as follows.
  • Collect patient samples without human intervention.
  • Check patient tempreture.
  • Impose lockdown remotely.
  • Assist to maintain quarantined patients remotely.
  • Monitor outdoor activities of people outside.
  • Spread awareness.
  • Deliver medicine remotely
  • and so on.
Reference:
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In the last week, one of my journal got rejected from International Journal of Human-Computer Interaction. Now I want to resubmit it in another journal. If anybody suggest me a Q2 or Q3 journals. The title and abstract of the journal is given below:
Title: Dynamic User Experience for efficiency enhancement based on facial expressions
Abstract: The main motive of Human-Computer Interaction is to make human comfortable while working with interactive computing device so that it can increase human efficiency and release the human trouble and saves humans’ time. In this paper, we recognize the face first then change the UI automatically based on his facial expression. Some of our personas also proposed the similar idea of building a system that would play music based on their facial expression. These scenarios gave us the idea of making an integrated system of dynamic user experience based on facial expression. So, we started to collect the data of our paper-based on questionnaires and interview approaches. Then made some low fidelity prototype during requirement gathering phase. We also made some high-fidelity prototypes using Axure RP to show the stakeholders the likely output of this paper. In the new phase, we have used the software engineering model and then implemented our code in visual studio with live server extension. Then we have followed the cognitive walkthrough model as our evaluation method. During the evaluation, our stakeholders need not have provided any input manually and it was easy to earn to use the system. We found that there should be a high-speed internet connection and we have to use VPN to handle some issues. The user was not feeling fatigued or discomfort at all because it is very easy to learn. Anyone can use it and who wants to use it just need to be in front of the camera that’s it. So, the user was very much comfortable and happy to use our system.
Thanks in advance.
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INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, INTERACTING WITH COMPUTERS. best of lucks with your manuscript
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Dear Researchers, Modellers, and Mathematicians,
As we know that in mathematics, computer science, and physics, a deterministic system is a system in which no randomness is involved in the development of future states of the system. A deterministic model will thus always produce the same output from a given starting condition or initial state. In this regard, I am looking forward to having examples from daily life events which are deterministic. Thank you!
Sincerely,
Aman Srivastava
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All models in classical mechanics are good example.
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good greeting
I have an idea for a scientific article and I have prepared the practical part in it, and I am now calculating the results.
Whoever finds the ability to write the article (the theoretical part) well and in record time, please write to me to publish it at a conference (the last date for receiving research will be on 8-20 2021).
Research trends: data security
my respects
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Interested, i am cyber security specialist
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I'm looking for Ph.D. programs (Scholarships) in Europe/USA/Canada/Australia/Great Britain.
Professors who are looking for Ph.D. candidate, I'm ready to work with any new subjects in Computer Science Field and especially in Deep Learning/Machine Learning.
I really appreciate your help!
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Dear Mokhaled,
I will suggest searching your interested domain/professors who are working on it and direct contact through email along with your synopsis.
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My friend and I wrote a research paper on computer science (cryptography). The article is a simple contribution. We need someone to join us and do a good grammar correction for the theory part. In addition, an improvement may be proposed to the proposed contribution.
my respects
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Dear Seddiq Abd Al-Rahman
I will be interested in that.
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Journals with review time of 2-4 weeks and publication time of <6 months.Impact factor journals >1.
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Engineering with computers IF=7.9
Soft computing IF=3.6
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With the increasing importance and implementation of computer applications in modern agriculture,
Should Agricultural universities make thier students sufficient in advanced computer knowledge or should they have depend only on pure computer scientists ??
Who will fill the gap between agriculture and computer ?
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Yes, it is necessary
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I am writing a review article on facial analysis in biomedical data science. As part of this there is a section on automatic and manual facial landmarking.
There is a large literature on this topic in computer science, but it is usually more focussed on computer vision than medical applications.
I am wondering if there exists established and respected software for automatic landmarking of facial images in a biomedical context? Any help is much appreciated.
Harry
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dlib is the standard now. you can use it for biomedical images too, as long they are captured with rgb cameras.
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  1. What are the hot topics and future topic for the Recommendation System?
  2. Can we publish High Impact Factor Papers on Recommendation System?
  3. Any other topic suggestions for PhD Computer Science that benefit the student in long term?
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Regarding your question,
1. Recommender system is one of the hottest topics recently and good quality work in recommender system has a good opportunity to be published in high impact journals.
2. There are many hot topics in RS, such as using the user reviews to solve the two most famous problems of RS: data sparisty and cold start problem, you can check this recent survey and at the end of it there are some future trends,
Also, you can use deep learning techniques to enhance the recommender system accuracy/performance.
Good Luck
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what would be the time taken by Malaysian Journal of Computer Science (MJCS) for First review?
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On Average, 2 months. It is a reputed journal. It is contained in the scopus list.
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Hello Researchers, I would like to know some Q1 paid journals with fast publication in the field of computer science major?
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Until now there is no clear list of Q1 journals that support open access after announcing the new impact factor on June 30, 2021.
IEEE Access became Q2
PreeJ Computer Science became Q4
CMC became Q2
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I am looking for a potential Matlab code of RNN and LSTM of the figure attached.
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Dear Scientists,
I have a question, we want to use the application of ANNs in regression analysis and this is some sort of easy utilization for ANNs, but the question is " how many samples do we need to training? using 12 samples could be enough? " I produced these 12 samples by Fractional Factorial Design (FFD) method and I need to be sure about this. Therefore, I would be grateful if you could provide me with any information about this subject.
Many thanks in advance for your time and kind consideration.
Regards
Mohsen
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Dear Mohsen, there is a rule of Thumb of Upadhyaya & Eryurec that says:
H= I * log2 N, where H is number of weights, I is the size of input vector and N is the number of trainning patterns. If you have 12 trainning patterns, and a input of size 1, you got only 3 weights. So its not possible to have a hidden layer. Hope it helps you.
References:
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Hello,
I'm interesting in to know if you have had educational experiences with m-learning (mobile learning) in engineering or computer science. In the literature, it seems to be that there are few proposals with m-learning platforms or applications to strengthen the skills or competences of the students in the basis of engineering and even computer science. Typical applications are located, e.g., in EFL and math.
Under this context, What have been your experiences with m-learning in engineering education or computer science?, and What advantages or difficulties do you consider regarding m-learning?
Thank you for your answers.
Best regards,
Jonathan
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The Internet of things (IoT) has a great effect in the defeloping of mobile learning. Please have a look at this article:
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Is International Journal of Advanced Computer Science and Applications IJACSA indexed in Scopus?
Does Journal have a sjr?
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Estimated colleagues,
Abstract & indexing of International Journal of Advanced Computer Science and Applications:
Web of science
Scopus
Semantic scholar
EBSCO host
Serials solutions
WorldCat
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Hello,
I have three queries mentioned below:
  1. I have submitted my manuscript around two months ago at "COMPUTERS AND ELECTRICAL ENGINEERING, AN INTERNATIONAL JOURNAL". The average number of weeks to the initial decision is 4-7 weeks (as written on a Journal webpage) and it's been around 11 weeks and still, I have not got any updates from them. Please let me know what can I do next?
  2. Also, is it possible to submit the same manuscript to more than one journal at once to save time? If any of the journals will reply me, I will withdraw the manuscript from other journals.
  3. Please let me know some free Scopus Indexed Journals related to Computer Engineering/Computer Security which will take little time to make decisions because I am in a hurry. It is my first time publishing a paper and I want it to be published anyhow at the earliest (because I need to go abroad and the deadline for scholarships is approaching).
Thank You
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You may also have a look into this discussion: https://www.researchgate.net/post/Unreasonable_review_times
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During the research process in computer sciences, we need a set of tools such as:
- IDE for algorithms coding
- LaTex editor for writing papers
- Statistical toolkit for experiments
- Some CAD tools for design
From your point of view, which tools should I use for research in computer sciences? Could you please, provide examples of these tools?
Best regards.
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  1. Version control tools: Git is perfect.
  2. Text editor: Latex with TeXstudio is fair.
  3. IDE: If you are coding in Python and R, Anaconda package has full-scale IDEs like Spyder and RStudio.
  4. Reporting tools: Jupyter Notebook.
  5. Graphics editor: Open source tools like GIMP and Inkscape.
  6. Hardware: Respectively, CPU, Memory and in some cases Graphic Card are more important.
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I need help with Queuing theory, easy explanation to M/M/C?
What are the parameters of the M/M/C queuing model?
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This is a personal rewording of ideas expressed by A. S. Tanenbaum at its book Distributed Operating Systems, but applied to communications:
It can be proven ( http://en.wikipedia.org/wiki/M/M/1_model Kleinrock, 1974) that the mean time between issuing a request to send a message and getting it completely transmitted, T (queueing time + service), is related to lambda (arrival rate in packets/s) and mu (mean service time) by the formula T = 1/(mu - lambda).
Consider a communication link at 64 kbit/s processing packets with exponentially distributed lengths with average packet size of 50 bytes, then the mean service time (1/mu) is 6.25 ms and this link should be able to handle up to 160 packet/s (maximum lambda). If it just gets 120 packets/s, then the mean Tx time will be 25 ms.
Suppose now that we have n communication lines at 64 kbit/s processing the same type of packets (average length 50 bytes exponentially distributed) at an arrival rate of 120 packets/s. The mean Tx time is the same, 25 ms. Now consider what happens if we use a single link able to send packets at n.64 kbit/s. Instead of having n communication lines at 64 kbit/s we got a single communication line n times faster, with an input rate n.lambda and a service rate n.mu, so the mean response time has got divided by n also.
This surprising result says that by replacing n small communications links by a big one that is n times faster, we can reduce the average response time n-fold ( http://en.wikipedia.org/wiki/Queueing_model#Multiple-servers_queue ).
This result is extremely general and applies to a large variety of systems. It is one of the main reasons that airlines prefer to fly a 300 seat 747 once every 5 hours to a 10 seat business jet every 10 minutes.
Dividing the communications capacity into small channels, each with few users statically assigned, is a poor match to a workload of randomly arriving requests. Much of the time, a few lines are busy, even overloaded, but most are idle. It is this wasted time that is eliminated in the high speed single link and the reason it gives better overall performance.
In fact, this queueing theory result is also one of the main arguments against having distributed systems at all and argues in favour of concentrating the computing power as much as possible.
However, mean response time is not everything. There are also arguments in favour of small channels and distributed systems, such as cost. In general, the cost of N single resources of cost C is N.C, but the cost of a single resource N times better is C^N, or it can be impossible to build it at any price. Reliability and fault tolerance are also factors to consider.
Moreover, it must be considered that for some users, a low variance in service time may be perceived as more important than the mean response time itself, specially for interactive applications. Consider for example web browsing through your own ADSL line, on which asking for the same page to be displayed always takes 500 ms (at least if served from the central office cache). Now consider web browsing on a shared high speed link on which asking for the next page takes 5 ms 95% of the time and 5 s one time in 20. Even though the mean here is twice as good as on the private ADSL line, the users may consider the performance intolerable. On the other hand, to the user running P2P file transfers, the high speed link may win hands down.
A possible compromise is to provide both options, providing each user with a small single amount of reserved capacity for interactive tasks such as web browsing and running all non-interactive transfers (e.g. P2P, mail, SFTP...) on the rest of shared bandwidth of a high speed link.
A related joke read on the Embedded Muse 223: Why does *my* queue at the supermarket usually move the slowest?
You compare yours to the ones on either side. The odds of yours being
the fastest are 1 in 3 if you compare yours to the immediately adjacent
queues, 1 in 5 if you look at two lines on either side, etc. If you
want to feel better about it, join the queue all the way on the end and
you'll have fewer others against which to measure.
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Hello,
I would appreciate it if you suggest me some public twitter sentiment analysis dataset during COVID-19 pandemic
Best regards,
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Sentimental Analysis of COVID-19 Tweets Using Deep ... - MDPI
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Dear Friends,
Can you guess which one is the most mysterious and enigmatic physical thing among these things such as biological cells, light, elementary particles (e.g. electrons, neutrons or protons), viruses, fungi, bacteria, atoms, chemical compounds, biological cells, blood cells or finally plain old components, in the context of engineering paradigms (e.g. mechanical, electronics, or aerospace) for designing and building large products (e.g. cars, airplanes, computers, factory machinery or spacecraft)?
The greatest tools for acquiring and using knowledge for technological progress and great inventions are (i) scientific method and (ii) mathematics, where these two tools provide complementary perspectives for gaining deeper insights. Each act like a light to illuminate mutually complementary sides, perspectives or dimensions. Since software researchers refuse to use scientific method (i.e. light of science), software community wasted 50 years and failed to solve software crisis and ended up with a useless fake CBE-paradigm.
If fake scientists still don’t realize that it is a mistake to blatantly violate scientific principles, they are going to repeat same kind of mistakes for Artificial Intelligence research and development. Many things would stay enigmatic and end up in a crisis, like software crisis. Many things that are inexplicable and puzzling or enigmatic in the perspective of mathematics can become crystal clear from the scientific perspective, since light of scientific method illuminates the dark spots left by light of mathematics.
Today, greatest enigmas for researchers of software and computer science include answers to following simple questions such as what is meant by a component in the context of all the other engineering disciplines, and what is meant by CBE (Component Based Engineering) that successfully eliminated engineering crisis form designing and building large and complex products (unlike software crisis).
Even if we know just 30% about bacteria or viruses that has been documented in the textbooks, each and every piece of knowledge can only be included in the textbooks, if and only if the piece of knowledge is supported by falsifiable proof. It impossible to find a piece of knowledge that is not supported by a falsifiable proof. There is a possibility that 20% of the knowledge in the textbooks might be falsified by finding counter evidence in the future such as new discoveries or empirical evidence.
Since mankind have enough valid knowledge about things such as bacteria, light or electrons, researchers are able to invent great things such as treatments for many kinds of infections, fibre-optic networks or semi-conductor chips respectively.
On the other hand, none of the knowledge about the components in the textbooks for computer science or software is either tested (e.g. no one challenged) or supported by any falsifiable proof. But there is a possibility that up to 20% of the knowledge might be proven valid in the future. However, I am sure that 80% of the knowledge in the textbooks is invalid and not open for challenge.
Even simple things such as what component is and what is meant by CBE stayed an enigma and mysterious for many decades, since knowledge in the textbooks about components is untested and invalid. Fake scientists at NSF ( that I prefer to call National Fake Science Foundation) feel offended, if anyone challenges their myths about so called components.
Anything would be less enigmatic or mysterious, even if we only have 30% valid knowledge than another thing that has huge knowledge, but significant portion of the knowledge is invalid. Hence, plain old components are far more mysterious and enigmatic than the invisible things such as viruses, electrons and biological cells. We made many useful inventions by even by relying on the limited valid knowledge.
Can you name any physical thing on the Earth that is more mysterious and enigmatic for scientific community than plain old components used for designed and building large Component-Based Products (or CBP), by taking into consideration all the knowledge in the published scientific literature and textbooks for all scientific disciplines?
A thing must be the most mysterious and enigmatic, if there is a large BoK (Body of Knowledge) for the thing and if larger percentage of the BoK is invalid (e.g. untested and unproven). The main reasons that makes anything enigmatic is not just lack of sufficient valid BoK but also having large chunks of invalid knowledge.
Isn’t it fascinating? Even such simple to acquire knowledge would stay mysterious and enigmatic (and creates a paradox and crisis), if researchers refuse to use the light of scientific principles to illuminate dark spots that are in the realm of science, since such dark spots can’t be illuminated by the light of mathematics.
I invented solutions for software crisis by gaining scientific knowledge essential for understanding mysterious components essential for achieving the elusive and enigmatic CBE-paradigms, in the context of all the other engineering disciplines. The fake scientists of computer science foolishly refusing to use light of scientific method.
The NSF that supposed to uphold scientific principles and scientific method, but is breaking scientific principles, protocols and code of conduct for scientific discourse, which is essential for progress of science and technology. Any accepted theory (i.e. theory or concepts derived from the theory that are being used by practitioners of any craft or trade) must be treated as an assumption, if the theory is not supported by a falsifiable proof (that is backed by repeatable evidence and/or verifiable facts).
The practitioners of astronomy or astrology had been practiced their trade or craft until 16th century by relying on the 2300-year-old theory “the Earth is static at the centre” (and concepts or observations derived from the theory). Mankind falsely concluded that “the Earth is static at the centre” is self-evident fact, so no one bothered to support this unproven theory by finding a falsifiable proof.
Since there was no falsifiable proof for such core first-principles in the foundation, it was impossible to challenge the huge BoK (Body of the Knowledge) acquired and accumulated for 1800 years for creating the dominant paradigm until 16th century by relying on such core first-principles. The scientific community in dark ages used illegal circular logic to defend the core first-principles.
For example, they used the observable facts such as epicycles, non-uniform speeds of planets, lack of stellar parallax and retrograde motions to defend the presumption “the Earth is static at the centre”. Countless concepts, observations and other derived theories in the whole BoK that had been accumulated for 1800 years can be used to defend the belief “the Earth is at the centre”.
The scientific method, protocols and processes for discourse has been created and perfected to prevent this. The biggest problem to subvert a flawed dominant paradigm is overcoming the illegal circular logic, which rely on the huge BoK acquired and accumulated for the paradigm. This kind of thing can be prevented by having falsifiable proof for the core first-principles at the foundation of any dominant paradigm.
When there is a falsifiable proof and if the theory is flawed, it is straight forward to falsify the proof by finding one or more verifiable and/or repeatable counterevidence. This is the reason the scientific method is created, which requires that each theory must be supported by a falsifiable proof.
Unfortunately, today software researchers and experts using the huge BoK in the textbooks and published literature that has been acquired and accumulated for past 50 years by relying on untested and unproven core first-principles in the pre-paradigmatic foundation such as about so called components for software and computer science is a branch of mathematics etc.
About 80% of the accumulated knowledge we have in textbooks and other published literature about the components for software is untested, unchallenged and invalid. Having invalid knowledge makes anything enigmatic, mysterious or paradoxical. Anything would become more and more enigmatic, mysterious or paradoxical, if it acquires and accumulates more and more knowledge and if larger and larger percent of the knowledge accumulated is invalid.
Every piece of scientific knowledge for any physical thing in the textbook must be well tested, challenged, and musty be supported by falsifiable proof backed by empirical evidence that must be open for challenge. Scientists of computer science must be ashamed of them-selves, if they feel offended by counter evidence or facts to expose untested or unproven knowledge about the enigmatic components.
Isn’t it pathetic, if the NSF (National Fake Science Foundation) don’t know or can’t understand basic scientific principles, processes and basic code of conduct? I oppose passing “The Endless Frontiers Act (S. 3832)” to fund the Fake Science foundation, until fake scientists at NSF understand basic scientific principles and processes and strictly implement the code of conduct for upholding the truth.
I wish to file a court case to block the act (i.e. The Endless Frontiers Act) to prevent tens of billions of dollars flush down the drain by the fake scientists at CISE, since nearly 50% of the US$100 billion goes to the CISE of Fake Science Foundation.
Best Regards,
Raju Chiluvuri
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Hi. The origin and nature of the universe.
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Hi Reserchers,
I am doing a computer science dissertation on the topic '' Automate text tool to analysis reflective writing''.
The hypothesis set is ‘To what extent is the model valid for assessed reflective writing?’ I just want from the questionnaire( closed ended questions and one open question) to validate the proposed model.
I have used the used the 5 point likert scale for analysing the data, option given strongly agree, agree, neutral, disagree, strongly disagree. The sample size is 10 participants. I have chosen my participate based on their experience, career and knowledge of the reflective writing.
1) Which statistical analysis tool shall I use to analyse 10 sample size to validate the model? Please show me step by step on how to analyse the data?
2) What would be the associated hypothesis?
3) Can I use Content Validity Index with 10 sample size participants on the questionnaires using 5 point likert scale?
4) this step on my research Is it qualitative method or quantitative method?why?
If you have any suggestion on my hypothesis, the sample size and the tool I need to analyse?
Thank you in advance !
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but i have a worry how will you increase your population are you going to change your area of study? i have a similar case with a population of just 13 teacher how do i test for the relibility of the quetionares
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I would like to start a discussion on which index is more reliable, H-Index or i10-Index. Both are usable, however their ways of calculation are different. There is also G-Index. I am not asking on the differences but on their reliability. Welcome to any comments.
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Good question,but both are so low for me that it does not matter.
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I have heard conflicting answers on this ranging from "do it to make your research accessible" to "only do it if you're invited" to "don't do it at all." The most moderate advice I saw was "one or two is fine as long as you have several other journal publications."
If the answer depends on my field, I'm in computer science and software engineering.
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Yes, chapters in books are regarded as journal articles in my country. Remember they go through a rigorous review process as well and are always at least 20 pages in length.
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Rodgers’ evolutionary concept analysis is being used in Nursing field. I could not find any paper that prove that Rodgers’ evolutionary concept analysis has been used in any other fields other than Nursing.
Is it possible if i use it for computer science field ?
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Rodgers' evolutionary concept analysis is a method for developing knowledge in nursing science. ... A brief description of the evolutionary process, from data collection to data analysis, with the concepts' context, surrogate and related terms, antecedents, attributes, examples and consequences, is presented.