Science topics: Computer Science
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Computer Science - Science topic

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I'm pursuing Ms in Computer science. I'm search for research topic.
I've come across following areas. Can someone review and let me know if these can be research candidates?
1. Comparison of different full stack frameworks
2. Progressive web applications
3. Security in Full stack applications
Also, can someone help me narrow down to a topic in these?
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It's great to see that you are considering various research topics related to full stack development. The areas you've mentioned are indeed relevant and hold potential for research. Let me provide a brief overview and some suggestions to help you narrow down the topics:
* Comparison of different full stack frameworks: Studying the features, performance, and trade-offs of various full stack frameworks can be insightful. Instead of a generic comparison, you could focus on specific aspects or challenges, such as the ease of scalability, adaptability to emerging technologies, or how well these frameworks support serverless architectures.
* Progressive web applications (PWAs): PWAs are an exciting area of research as they bring the best of both web and mobile applications. You could study the factors that influence the adoption of PWAs, explore novel approaches to optimize performance and user experience, or investigate the challenges faced in integrating PWAs with emerging technologies like augmented reality or the Internet of Things.
* Security in Full stack applications: Security is always a critical concern in any development process. Research in this area could focus on identifying and addressing common security vulnerabilities in full stack applications, developing new techniques to ensure data privacy and protection, or examining best practices for secure authentication and authorization.
To narrow down your topic, consider reflecting on your personal interests, the relevance of the topic to the industry, and the potential impact of your research. Choose a topic that you find engaging and that can contribute to the field of full stack development.
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I enrolled for a PhD Programme in Computer Science. For my research work I am looking for a topic to choose which could make an impact and solve a Business problem.
my area of interest are Data Science, Ecommerce, AL, ML Sensor technology.
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Great to hear that you are pursuing a PhD in Computer Science and looking for a research topic . Research topics that can make an impact and solve a business problem include predictive analytics for e-commerce, anomaly detection in sensor data, fraud detection in e-commerce transactions, personalized products, optimizing supply chain, and optimizing logistics. These are just a few examples to consider, and you can explore and refine these topics based on your specific interests and goals. Make sure to consult with your advisor and industry experts to ensure that your research is impactful and relevant to the business problem you are trying to solve. Good luck!
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Seeking expert advice from academia. Both my bachelor’s and master’s are in the field of computer science. I have research, industry, and entrepreneurship experiences related to that field only. However, I would like to explore something new. I have always been fascinated by astronomy and astrophysics. Would it increase my chance for a Ph.D. if I have a publication relevant to the new field? Or are there other opportunities that I don’t know about yet? Thank you!
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Hi Nishargo Nigar Remember that if you take your breadwinning work out of computers you can expect a massive drop in income. Fortunately, re your interests the space industry is on an upswing, and you have enough already for anyone re computers.
To your specific question, I doubt that would it increase your chance for a Ph.D. if you have a publication relevant to the new field, at least in US and Europe. Having working experience in space industry might help a little and they use a lot of computer people. Mainly I would think just pursue the PhD and don't over-worry about side efforts to encourage it.
Enjoyed my visit to Hamburg.
Karl
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The concept of formal system and/or its properties is present frequently in many practical and theoretical components of computer science methods, tools, theories, etc.
But it is frequent too, finding some non rigorous interpretations of formal. For example, in several definitions of ontology, formal is understood as something that "computer can understand".
Does the computer science specialist, BSc, need to know that concept? Are it and its properties useful for them?
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For me some basic knowledge of formal systems is essential for undergraduate CS students, as this is a necessary part of the scientific education.
If not, you might still learn a lot about software construction, but you wouldn't know nor understand its bedrock.
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I need a Data visualization book for undergraduate students in computer science college.
They can learn the fundamentals, principles, techniques of data visualization
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Data Visualization is incomplete without consideration of Tufte.
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Good day, Dear Colleagues!
Anyone interested in discussing this topic?
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The tandem of Mathematics and Computer Science is vital for the development of AI. Mathematics provides the theoretical foundation, while Computer Science provides the practical tools to implement AI algorithms. By combining these two disciplines, researchers and practitioners can create AI systems that can perform increasingly complex tasks, and help solve some of the most challenging problems facing our society.
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Hello,
I graduated with a Master's degree in machine learning and signal processing.
I'm in the first year of my Ph.D. in computer science. I have some difficulties finding topics on smart cities.
Do you have some suggestions or ideas?
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Yes, here are some potential research topics on smart cities that you could explore:
  1. Smart transportation: Analyzing data from sensors to optimize traffic flow, reduce congestion, and improve transportation infrastructure.
  2. Smart energy management: Developing algorithms and systems for efficient energy distribution and consumption in urban environments.
  3. Smart waste management: Developing systems to optimize waste collection and disposal through sensor data and predictive analytics.
  4. Smart healthcare: Developing systems to monitor and analyze health data to identify health trends and provide early warning of disease outbreaks.
  5. Smart public safety: Developing systems to enhance public safety through real-time data analysis, surveillance, and response.
  6. Smart buildings: Developing algorithms and systems to optimize energy use, temperature control, and other building management functions in real-time.
  7. Social media analytics: Analyzing social media data to identify trends and patterns in urban communities, and to develop social interventions and programs to address community issues.
  8. Urban agriculture: Developing systems for sustainable urban agriculture, including hydroponics, vertical farming, and community gardens.
  9. Citizen engagement: Developing systems to engage citizens in the design, implementation, and evaluation of smart city programs and initiatives.
  10. Smart tourism: Developing systems to enhance the visitor experience, including real-time travel information, augmented reality, and personalized recommendations.
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Quantum computing is fundamentally a synergistic combination of fields from quantum physics, classical information theory, and computer science. As a discipline to evolve, computationally intensive systems came into existence in the late 1990s. Quantum-inspired computational intelligence refers to an emergent field of research that concentrates on applying the principles of quantum computing.
source: Applied Quantum Computing (bonviewpress.com)
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Eduard Babulak Yes, the usage of quantum computing is predicted to help enhance artificial intelligence, humanoid robots, automation, and geographic research. Quantum computing ideas can be used to these domains to possibly increase the performance and efficiency of different systems. However, it is vital to highlight that quantum computing is still in its infancy, and more study is required to fully realize its promise in these disciplines.
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I want to know about CHAT GPT. What type of data we can collect using Chat GPT and how to use it.
Thank you.
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You can find some details about OpenAI, including chat gpt, on the OpenAI website: https://platform.openai.com/docs/introduction/key-concepts.
Additionally, research papers about GPT and its variants can be found in academic databases.
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I am running a User Experiment to learn how to design better user interfaces to help researchers conduct literature reviews. I am interested in recruiting BSc, MSc, or Ph.D. students with Computer Science or related field backgrounds. The study will be conducted via Zoom for 1 to 1.5 hours with compensation.
If you are interested, please fill out this form or forward it to your students who might be interested—much appreciated!
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Seems like the survey form already expired. And....A rather sad example of user interfaces in itself. However, if you're trying to learn more about user interfaces I strongly recommend looking outside of the Computer Science field.
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Hello members,
I am currently in the process of developing my PhD proposal in computer sciences. My research interests lie in the areas of Artificial Intelligence, Data Sciences, and Blockchain. I am seeking some feedback and ideas for potential research topics that I can explore within these domains.
I would appreciate if you could share your thoughts and insights on the current challenges and opportunities within the field. It would be a great help for me to understand the current state of research and identify potential gaps that I can focus on in my proposal.
Thank you in advance for your help and suggestions.
Kind regards.
Mk.
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I recommend checking our Perspective paper at :
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I need reviewer for Taylor edited book from Computer Science area from Canada or USA or UK and or Australia University. URGENT!
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Thank you but its outdated.
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AI, machine learning are dynamical computer science platform nowadays, is there any way to connect chaos and AI, machine learning. Some researchers are doing the research about the mentioned topic. Anyone can you give the research papers for my understanding for further studies.
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Chaos theory and artificial intelligence are directly connected...
Formal models of such a connection are given in the book (the concepts of "Creative Stirring / Mixing Layer" and Inductor Space, i.e. the emergence of generalized (mental) entanglement)
More details here
Practical applications of chaos theory and artificial intelligence
Good luck to you,
Yurii
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Good afternoon,
I have prepared an article that performs a literature review on the concept of Digital Twin. Since the doctoral program in which I am is a program based on the compendium of publications, it is necessary that all the articles that I do are published in a journal that appears in the latest list published by the Journal Citation Reports (SCI and / or SSCI) or SCOPUS. In addition, at least one of them must be in the first or second quartile of its category. Therefore, I would like to try to get this article published in one that is in the Q1 quartile, so that I can take this burden off my shoulders. For now I have found the following:
IEEE
  • IEEE Access: Telecommunications – Scie, Computer Science, Information Systems – Scie (Q1); Engineering, Electrical & Electronic – Scie (Q2).
ACM
  • ACM Computing Surveys: Computer Science, Theory & Methods – Scie (Q1).
Elsevier
  • Expert Systems with Applications: Operations Research & Management Science – Scie (Q1); Computer Science, Artificial Intelligence – Scie (Q1); Engineering, Electrical & Electronic – Scie (Q1).
  • Future Generation Computer Systems: Computer Science, Theory & Methods – Scie (Q1).
  • Engineering Applications Of Artificial Intelligence: Computer Science, Artificial Intelligence – Scie (Q1); Engineering, Electrical & Electronic – Scie (Q1); Engineering, Multidisciplinary – Scie (Q1); Automation & Control Systems – Scie (Q1).
  • Artificial Intelligence: Computer Science, Artificial Intelligence – Scie (Q1).
  • Journal of Computational Science: Computer Science, Interdisciplinary Applications – Scie (Q2); Computer Science, Theory & Methods – Scie (Q1).
  • Advances in Engineering Software: Computer Science, Interdisciplinary Applications – Scie (Q2); Computer Science, Software Engineering – Scie (Q1); Engineering, Multidisciplinary – Scie (Q1).
  • Decision Support Systems: Operations Research & Management Science – Scie (Q1); Computer Science, Artificial Intelligence – Scie (Q1); Computer Science, Information Systems – Scie (Q1).
  • Information and Software Technology: Computer Science, Software Engineering – Scie (Q1); Computer Science, Information Systems – Scie (Q2).
  • Journal of Industrial Information Integration: Computer Science, Interdisciplinary Applications – Scie (Q1); Engineering, Industrial – Scie (Q1).
  • Journal of Network and Computer Applications: Computer Science, Interdisciplinary Applications – Scie (Q1); Computer Science, Hardware & Architecture – Scie (Q1); Computer Science, Software Engineering – Scie (Q1).
MDPI
  • Applied Sciences: Chemistry, Multidisciplinary – Scie (Q3); Materials Science, Multidisciplinary – Scie (Q3); Physics, Applied – Scie (Q2); Engineering, Multidisciplinary – Scie (Q2).
  • Future Internet: Computer Science, Information Systems (Q2).
  • Applied System Innovation: Telecommunications – Esci (Q3); Computer Science, Information Systems – Esci (Q3); Engineering, Electrical & Electronic – Esci (Q3).
Does anyone have a recommendation for any other? Is it advisable to avoid generic journals? The more categories the journals deal with, the better?
Thank you very much in advance.
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One way is to use the publication recommender offered by different publishers. You can search using the title and abstract to get a list of suitable journals. However, as you have already a written article and that too a review paper, you can figure out directly with your references. Digtial twins have applications in many areas, and therfore it depends which area you are working on. One excellent journal is IEEE Transactions on Industrial Informatics.
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You may often find them on the top side of Intel's CPUs, such as i7 or Xeon. My assumption is that they are need for substrate electrical testing during production process, but i couldn't find any confirmation of that.
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They are alternative contacts to certain pins for testing. The idea is to avoid signal interference with high speed processors.
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Hello, please what are some research areas/topics in the field of Information Technology NOT Computer Science for PhD thesis?
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Dear,
Today , we have a lot of topics: The capital topics for research in IT can be listed below: Quantum Computing, artificial Intelligence. These topics will be good for the future. If you are planning to become a staple in IT, you should take a look also in Cybersecurity,computational science,complex systems,cloud computing & virtualization,Biometrics and Conformance testing.
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Which software is best for making high-quality graphs? Origin or Excel? Thank you
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origin
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Hello dear community,
Is Global Journal of Computer Science & Technology predatory.
Regards,
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The papers are edited pretty professional and look misleadingly real. However, the publisher is suspect, see for example:
The same is true, when looking at the particular journal itself (https://computerresearch.org/index.php/computer ):
-If you scroll down, they mention matrices while they mean metrics
-If you scroll down further you see a sad collection of so-called misleading metrics (see also https://beallslist.net/misleading-metrics/ ) like ESJI, GIF, CiteFactor etc. often used by predatory journals/publishers
-No serious indexing (like Scopus, WoS etc.)
-Contact info looks fake. Most likely a virtual office (at best), all this to hide their true origin
So, I would say avoid.
Best regards.
PS. I suspect a relation with another dubious publisher “Dama Academic Scholary & Scientific Research Society” (https://damaacademia.com ). The well… mysterious sounding phrase in the mission “We intend to frequently modernize our dexterity and cultivate our standards to deliver exceptional quality journals in all fields of expertise.” can be found in both of them https://computerresearch.org/index.php/computer/about and https://damaacademia.com/mission/ The same is true for the sentence which can be found (using Google) here https://computerresearch.org/index.php/computer/about “is a premier research paper publisher with a global reputation for publishing quality journals and services which cover all streams”
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Mac OS vs Linux vs Windows??
I personally use MacOS but would like to know what other people use for their research work, preferably researchers associated with Computation work. If possible do let me know the reason. This is just a survey.
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MS Windows OS
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I am doing MPhil in Computer Science and Software Engineering is my Specialization. I am trying to choose a domain/ topic to work on for my Thesis. I am otherwise a good student but not able to narrow down what domain, field or area I should choose where I can have oppertunity for further work in future as well.
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Software Engineering is a branch that deals with the development and evolution of software products by employing certain methodologies and well-defined scientific principles. For developing a software product certain processes need to be followed and outcome of which is an efficient and authentic software product. The software is a group of executable program code with associated libraries. Software designed to satisfy a specific need is known as Software Product. It is a very good topic for master’s thesis, project, and research. There are various topics in Software Engineering which will be helpful for M.Tech and other masters students write their software project thesis.
Regards,
Shafagat
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Hello, I am a new research scholar in Computer Science, having an interest in Recommender systems and reinforcement Learning. Can someone suggest any research topics/areas in recommender systems ?
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please check the Domain(area) Cloud computing & Data Mining easiest way of domain..
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Hello,
I am asking for your help in suggesting ISI journals that might be interested in publishing a dentistry focused paper (orthodontics) and social media (tweets content and sentiment analysis), we analyzed only Arabic language tweets.
we tried general dentistry journals they suggested ortho journals, the ortho journals suggested computer science or similar journals, general social media and telemedicine journals suggested ortho journals.
It feels like we are running around in circles.
Thank you.
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If you have access to Journal Citation Reports (JCR), it has feature named "manuscript matcher" which may be useful, but you can also look through the Dentistry, Oral Surgery & Medicine category in JCR.
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Is it mandatory to complete PhD degree to review a research paper?
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It is not mandatory to complete Ph.D. degree to act as reviewer. However, it is mandatory that the person should have published at least one article in a reputed international journal. The Scopus ID of the reviewer should be available. Journal editors usually pick up reviewer names from the publications in the same field of research. Editors will not consider a person without any publication to his credit.
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Well,
I am a very curious person. During Covid-19 in 2020, I through coded data and taking only the last name, noticed in my country that people with certain surnames were more likely to die than others (and this pattern has remained unchanged over time). Through mathematical ratio and proportion, inconsistencies were found by performing a "conversion" so that all surnames had the same weighting. The rest, simple exercise of probability and statistics revealed this controversial fact.
Of course, what I did was a shallow study, just a data mining exercise, but it has been something that caught my attention, even more so when talking to an Indian researcher who found similar patterns within his country about another disease.
In the context of pandemics (for the end of these and others that may come)
I think it would be interesting to have a line of research involving different professionals such as data scientists; statisticians/mathematicians; sociology and demographics; human sciences; biological sciences to compose a more refined study on this premise.
Some questions still remain:
What if we could have such answers? How should Research Ethics be handled? Could we warn people about care? How would people with certain last names considered at risk react? And the other way around? From a sociological point of view, could such a recommendation divide society into "superior" or "inferior" genes?
What do you think about it?
=================================
Note: Due to important personal matters I have taken a break and returned with my activities today, February 13, 2023. I am too happy to come across many interesting feedbacks.
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In certain condition i guess. if it' related to gene diseases (especially for y- chromosome). Because people follow their father's surname. But it's also conditional.
But i can say surname itself doe not affect your immunity. cuz if woman marries some guy and changing their surname it wouldn't affect their immune system.
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I am currently undertaking a computer science MSc and have been trying to find topics of study for my final research dissertation which would be interesting.
I was thinking about a few topics but find it hard to solve within 6 months of time. I am interested in cloud computing can you give me an idea to select a topic? It could be anything related to computer science.
Once I've chosen the topic, do I need to go for implementation or writing about my findings about the topic is sufficient?
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Dear Friends,
There are systematic attacks on freedom to express scientific ideas and facts in India (also may be True in other 3rd world countries). There are so many crony intellectuals in tax payer funded universities or research institutions, who occupied position of influence and power not by merit but by pleasing corrupt Indian political system. They have been using their power and influence to suppress new ideas and inconvenient Truths.
I faced this kind of crony intellectuals in many research organizations such as IITs at Delhi, Mumbai or Chennai, DRDO and IIIT at Hyderabad to name a few. These crony intellectuals viciously suppress freedom to express scientific ideas and facts to cover-up their ignorance or satisfy egos.
It enraged many of them and they resort to vicious personal attacks, when I politely presented facts that expose mistakes in their knowledge or perception of reality. For example, one of such instance I reported in my earlier question, where IIIT at Hyderabad assaulted on my freedom to express facts by banning me from interacting with researchers: https://www.researchgate.net/post/Why_so_many_experts_react_so_viciously_and_resort_to_insults_for_requesting_an_opportunity_to_demonstrate_counter_evidence_for_flawed_beliefs
I was extremely polite and humbly requested for an opportunity for presenting evidence and facts to expose flawed beliefs at the root of existing dominant software engineering paradigm in general and CBD/CBE (Component Based Software Engineering and Design or development) of software products in particular. They banned me merely based on my polite requests without any other communication from them.
I have similar experience with former NASSCOM President Som Mittal, when he was President of NASSCOM. He bluntly told me that no one will listen to you, if you point out mistakes in their knowledge or perception and cutoff all communications. How can a fledgling or budding researcher survive such assault? Such crony intellectuals in the position of influence are the main reason that no worthwhile invention or discovery can ever come out of India?
It is shame on every Indian intellectual for allowing such crony intellectuals to stay in the position of influence or power, and do nothing when such crony intellectual have been assaulting on inalienable rights and freedom to think and find facts for exposing mistakes. I am sure this situation exists in many 3rd world countries, where corruption is rampant. So this is also meant for such 3rd world countries as well.
Is he a real scientist or researcher, if he enraged for questioning his untested belief (i.e. myth) by disagreeing or for asking him to provide evidence to substantiate his belief (i.e. myth)? Such rude attacks are wide spread in India, where the so called intellectuals are more interested in pleasing corrupt political bosses for advancing their career then the research.
What would you do, if your basic rights are assaulted? Any researcher or a scientist not only have an inalienable right but also moral obligation to state such facts/truths, even if such facts or truths anger or enrage so called intellectuals for exposing their mistakes, prejudice or ignorance. It is his/her problem, if any crony intellectual can’t handle such harsh reality or truth. Assault on such truths is an assault on the scientific knowledge and progress.
Best Regards,
Raju Chiluvuri
CEO, Pioneer-soft
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A group of mid-career environmental social scientists, facing pandemic and career burnout, whimsically agreed to collectively decline 100 work-related requests. The goal: to learn to say no. After a year tracking and reflecting on their decisions, they share their insights into how to align finite energy with seemingly infinite possibilities...
Early in our careers, saying yes helped us to make connections and explore promising research directions. But as opportunities multiplied in our mid-careers, we needed a mindset shift, from gathering to pruning. So we need to develop clear criteria to help us choose what to pursue...
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Isn't it time to bury the master class in computer engineering training without mourning but rather adapting new pedagogical models based on new technologies and especially artificial intelligence?
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Dear Prof. Meriyem!
I did search for YOU resources you might well consider as value-added for your work:
1) Mouza, C., Mead, H., Alkhateeb, B. et al. A Virtual Professional Development Program for Computer Science Education During COVID-19. TechTrends 66, 436–449 (2022). https://doi.org/10.1007/s11528-022-00731-y, Free access:
2) Chrystalla Mouza, Diane Codding, Lori Pollock, Investigating the impact of research-based professional development on teacher learning and classroom practice: Findings from computer science education, Computers & Education,
Volume 186, 2022, Available at:
3) Garcia, I., Pacheco, C., León, A., and Calvo-Manzano, J. A., Cadxela: An educational tool for supporting the global software engineering education at undergraduate level, Comput. Appl. Eng. Educ. 2022; 30: 708– 729. https://doi.org/10.1002/cae.22482, Available at:
4) Yildiz Durak, H., Flipped classroom model applications in computing courses: Peer assisted groups, collaborative group and individual learning, Comput. Appl. Eng. Educ. 2022; 30: 803– 820. https://doi.org/10.1002/cae.22487, Available at:
Yours sincerely, Bulcsu Szekely
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I am currently undertaking a computer science MSc and have been trying to find topics of study for my final research dissertation which would be interesting for me and I am struggling and am looking for the right direction.
My interests through work are mainly in Datascience.
Any suggestions and topics related to my interested domains are greatly appreciated.
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oK Basically you can work on the any data sets .Look for the data sets related to healthcare (Disease, patients data) or any other type of data associated with the health care.
you can go for the humanities subject like economics, geograply, marketing etc. search for their data available in the public domains .
you can explore the areas of science like biotechnology, physics and computer science. (Devlop new aspect of algorithms prespective)
Explore the areas realted to the pharmacuits sciences like drug design synthesis or every drugs. data is available on the public domain .
you can work on to explore the general trends in data like populaiton explosion , or education status of women etc.
but first of all its importnat to get one hypothesis and a crisp objective for your desertation. once you done things . NEXT comes the implementaition part. that you can do .
Concern with your respective supervisor ask him/her or give him/her some option to explore, or your areas of interest.
Thanks.
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I am currently undertaking a computer science MSc and have been trying to find topics of study for the my final research dissertation which would be interesting for me and I am struggling and am looking for right directions.
My interests through work are mainly cloud computing (Azure, AWS) and Data science. I am really struggling to find a topic in any of these two domains.
Any suggestions and topics related my interested domains are greatly appreciated.
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The issue of cloud database security
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I am coming from the background of Computer Science and now I am doing Phd. in eduaction. I want to connect my core subject computer science with the subject eduaction. I want to do a survey study on the topic Computational Thinking (CT)and Digital Competence (DC). Here I want to work on the relationship between CT and DC. I eagerly need your help and your valuable suggestion so that I can forward my work.
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It is more than amazing . Go on . Please send me your survey to comment on more .
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As we know that there is no regulations on private universities as well as institutions so they are just providing 1000s of admissions in the Computer Science branch in India.
Why the students are blindly opting CSE branch?
"Can we say that all other engineering branches are useless or outdated now".
and CSE is the only hope for engineering universities and colleges.
Kindly share your fair opinions.
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Dear Vivek,
Your observation is apt. Due to the popularity of CSE branch from utility and employability perspective, it is drawing better students vis-a-vis other branches. This trend is well known to recruiters, as well. This has resulted in positive feedback like scenario. However, this trend may weaken with the passage of time as CSE splits into more and more finer specialization.
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all the good book and documents in computer science are in English language l went translate book in my language to learn so guys can you recommend me
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Is Elsevier's Procedia Computer Science a journal?
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Yes and no. Yes, in the sense that “Procedia Computer Science” calls themselves a journal https://www.journals.elsevier.com/procedia-computer-science But the answer is no. It is a so-called “Conference proceedings” see also: https://www.scopus.com/sourceid/19700182801
You can check this in the latest source list (see enclosed file) where this title is not listed in the “Scopus sources May 2022” list (of indexed journals) but in the list of “Serial Conf. Proc. with Profile”.
So, the answer is no.
Best regards.
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Please Suggest any Unpaid Scopus indexed Journals for Fast track publication ( in 2 Months) for Computer Science and Engineering related areas
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Please Suggest any Scopus indexed Journals for Fast track publication ( in 2 Months) for Early Childhood Education.
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I want some free resources that I can learn deep learning easily. I am interested in the text mining field.
Thank You
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Hi G K Mohan Devarakonda you can try Cousersa, I was able to do it through scholarships, they give financial aid for those who can't afford it. Go to the Coursera website, select the course you are interested in and see if there is a financial aid option, if so you can apply. The result comes out in 20 days. I hope you get it! Good luck.
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Hello experts, Seniors, and fellows, kindly help me on this.
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Thank you Kevin Agina Onyango for the interesting question and all professors for the valuable answers.
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In the simulation and experimentation part of the paper, you have to compare your method with other methods, but if you don't have the source code and materials of related works, how can you simulate other methods without having the source code and make graphics and charts?
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In this case, I suggest comparing the available quantitative results like %age accuracy, efficiency or other performance indicators with your solution's performance. This can be in the form of a table. The quantitative details are available in that particular technique's foundational research paper.
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Hello dear researchers,
can you introduce bioinformatics journals suitable for the field of computer science? Thank you very much for your guidance
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Computational and Structural Biotechnology
Computers and Electronics in Agriculture
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I am a PhD student in computer science, and I want to apply reinforcement learning methods to computer network problems and get results in order to publish a research paper in international journals, but I am not very good in mathematics, so my question is: can I model a problem and apply reinforcement learning to problems without needing mathematics?
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Mathematics is like the backbone to Reinforcement Learning. Strong command on topics like Probability and Statistics with a proper understanding of some mathematical models can take you very far ahead in Reinforcement Learning. Some scheduling techniques in wireless packet delivery require deep knowledge of Markov chain, Deep Reinforcement Learning.
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Am a new research scholar in amrita university under computer science and engineering, coimbatore , India .
I need help in research arears in cognition drones. I have to define problem statement to start with my research. Kindly if any one work in this field share your ideas so that I can know better to start with.
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May be helpful for your work:
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Suggest some Impact factor journel with less review time and free for computer science
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There is no journal with a good impact factor with less review. all good journals take no less than three months for peer review; sometimes, open access can process in one month.
I advise you to check the list in the link and try to find a journal with less than 0.5 SJR. Maybe they can process within two months minimum.
All the best
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I need free journals in education and computer science with a good index
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Free journals had low acceptance rate
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Since I don't have any coding background its difficult for me to pick a topic in system security or network security. Please help me with any topics or suggestions you have. Thank you in advance.
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You can check out some topics below
Also, I believe you can take some python lessons online that can be of great help to you as well
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topics should be where we can mathematics algorithms
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you can think of in covid 19, Lung cancer, Brain tumor detection using different deep Learning Techniques and possible to use also ML Algorithms.
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Dear Friends,
I have been struggling for more than a decade to expose a fatal mistake (having dreadful consequences) committed by Computer Science more than 55 years ago.
I want to prove very simple and obvious fact, but the problem is, how to force research community to apply their mind. Researchers are blindly defending foolish mistakes by refusing to apply their mind.
It is indisputable fact that Computer Science is classified as a branch of pure mathematics. Acquiring and using scientific knowledge about Components and CBE by violating proven rules of scientific method is fiercely justified by insisting Computer Science is a branch of pure mathematics.
How can I make software researchers apply their mind to understand the simple logic in the attached PDF: It is essential for any academic discipline to “acquire and use trustworthy knowledge (that must be open to validation and falsification)”?
Software Crisis and spaghetti code can be addressed easily, if software researchers apply their mind by being open to reason and new evidence or facts.
Best Regards,
Raju Chiluvuri
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Hi,
Kindly refer this link:
Best wishes..
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Greetings,
Thank you for giving me some of your time to answer my survey about choosing the right method to manage a project.
#project #agile #iot #project_management #computersciences #ignite #iotmethodology #lean #agility #ITproject #project #IT #gestiondeprojet #agilité #ProjetIoT #scrum #informatique #kanban #xp #projet
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sent via google form
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I am interested in qr code, mooc, learning management systems
please suggest the topic idea
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Something cc commons license (I guess a dream), easy to use for any teacher at any level, and in any operating system, based on threads like this and paint screenshots :)) Prof. Rupali Mishra
It will help with elearning for students & mentors from very disadvantaged countries.
And finally with the Open UK learning & teaching philosophy.
Best Regards.
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I am an Assistant Professor in Kinesiology Department at California State University San Marcos. I am looking for a few students who would like to obtain their Master's degrees from our department. My research is on Augmented and Virtual Reality-Based interventions for clinical populations. Interdisciplinary backgrounds (kinesiology, psychology, computer science, Unity) are welcome!
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yes
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Kindly, suggest me some SCIE, ESCI or SCOPUS indexed computer science journals which are paid but fast response?
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Most of the paid journals are considered predatory journals. They ask for publication charges after the paper has been accepted.
Below are some reputed ESCI computer science journals:
JOURNAL OF BIG DATA
MULTIMODAL TECHNOLOGIES AND INTERACTION
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What is the difference between visualization analysis and qualitative analysis in computer science-related research?
We are working on vision-based plant disease recognition. To further strengthen our evaluation of the performance of disease detection and classification, we want to introduce the visual explainability of the proposed methods. To demonstrate that we employed 2D tSNE, confusion matrix, and grad-cam attention heat map. Can visualization analysis replace qualitative analysis? If not what is their difference?
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Can you say more about what you mean by qualitative analysis?
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What are the journal available in computer science field to publish excessive long survey papers with approximate page length of 60 to 70 pages in single column and appx 40 pages in double column?
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How can I find a list of open problems in Homotopy Type Theory and Univalent Foundations ?
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A list of open problrems for hpmotopy type theory is presented in HISTORIC.
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my paper is based on deep learning
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International Journal of Advanced Computer Science and Applications (IJACSA)
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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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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 have started my Master's degree in software engineering 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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Dear Taha Khamis,
There are many hot research topics in software engineering. For example, you may look at the following two topics:
1- Software fault localization:
2- Software module clustering:
Best regards,
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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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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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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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I suggest to simply ignore this. Scientific fraud should not be supported.
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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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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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We can apply AI algorithms for COVID-19 detection and predictions
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