Questions related to Computer Science
For computer science, can some methods in the paper be written without experiments, just theoretical analysis of the results?
I finished my Master Thesis and get the degree in Computer Science last year, Alhamdulellah.
My question is: Which is better, publish the thesis on the internet or not?
What are the disadvantages and advantages?
- What is the reputation and impact factor of IAENG journals in the field of computer science?
- Can you provide information about the review process followed by IAENG journals for computer science papers?
- What is the average duration from submission to the first decision for papers submitted to IAENG computer science journals?
- Are IAENG journals recognized by relevant indexing services or databases in the field of computer science?
- Can you share any recent success stories or notable publications in the field of computer science from IAENG journals?
- Are there any specific focus areas or topics within computer science where IAENG journals excel?
- What is the acceptance rate for papers submitted to IAENG computer science journals?
- Are IAENG journals open access, and what are the publication fees, if any, associated with publishing in these journals?
- Can you provide references to researchers or institutions that have had positive experiences publishing in IAENG computer science journals?
- How does IAENG ensure the quality and rigor of its peer-review process for computer science paper
Désirant faire une thèse en génie civil option structure en lien avec l'informatique ou l'environnement.
(Structure+informatique ou structure+environnement.)
Besoin des propositions des thèmes. Merci d'avance
I am masters student, looking for thesis topics, your suggestions are required.
We seek a Faculty in our college specializing in Data Science, Computer Science, and Machine Learning.
Type: Full-time (Training and Research)
Degree: Ph.D (Open for all branches)
CTC: Up to 10 Lakhs INR per annum
Benefits: Accommodation provided
How to Apply: by filling out our Google Form.
The application deadline is Oct 30, 2023.
If you have any questions, please contact us at firstname.lastname@example.org.
Phone (M): +91 6383 661 475
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The question touches upon an important issue in the education system, particularly in India. The distinction between various master's programs in Computer Science disciplines like Master of Computer Application (MCA), Master of Technology (M.Tech), and Master of Engineering (M.E), and the differences in their recognition and acceptance in academic and professional spheres, is a topic of concern for many. The perception of these degrees and their applicability in different job roles can vary widely, leading to questions about fairness and equality.
- Recognition and Equal Standing: All these master in computer science programs, such as MCA, M.Tech, or M.E, are recognized by All India Council for Technical Education (AICTE), indicating that they meet certain standards of education. Despite this, there seems to be a disparity in how they are perceived and accepted in the job market, and especially in academic institutions.
- Duration and Content: The duration of these programs, is often the same (for example, B.Tech + M.Tech, B.E + M.E, and BCA + MCA all taking six years). However, the focus of the curriculum and the skills acquired can vary.
- NET Qualifications: The eligibility criteria for UGC NET and similar exams also play a role. The fact that M.Tech/M.E/MCA graduates can appear for University Grants Commission (UGC) NET (National Eligibility Test) implies a certain level of academic qualification.
- Fairness and Equality: It raises a valid concern about whether the current system is fair to all graduates, regardless of their specific master's program.
I am making one video on this issue. If you think the video needs correction and improvement, and you want to give suggestions, this is the right place.
Possible factors could include historical practices, industry demands, or specific skill sets associated with different degrees. So, the question is, "Why there is discrimination between these programs?"
Interdisciplinary research involves collaboration between researchers from different fields to solve complex problems that cannot be tackled within the confines of a single discipline. It seeks to combine knowledge, methods, and tools from different fields to create new solutions that are not possible within one field alone.
Interdisciplinary research can involve natural sciences, social sciences, and humanities, as well as other areas such as engineering, computer science, and economics.
I am conducting a research project involving the use of the MACD (Moving Average Convergence Divergence) signal indicator for analyzing multivariate time series data, possibly for trading purposes.
I've defined some initial parameters such as ema_short_period, ema_long_period, and signal_period. However, I'm interested in insights and best practices for parameter selection in such analyses.
I used these values to calculate and implement this indicator.
ema_short_period = 12
ema_long_period = 26
signal_period = 9
What parameters should I consider when dealing with multivariate data, and how can I optimize these parameters for my specific analysis goals?
Additionally, if anyone has experience with using the MACD in multivariate time series analysis, I'd appreciate any advice or insights you can provide.
I'm implementing this using python.
Subject: Call for Systematic Literature Review Papers in Computer Science Fields - Special Issue in the Iraqi Journal for Computer Science and Mathematics
I hope this letter finds you in good health and high spirits. We are pleased to announce a unique opportunity for researchers in the field of computer science to contribute to our upcoming special issue focused on systematic review papers. As a Scopus-indexed journal with a remarkable CiteScore of 2.9 and a CiteScore Tracker of 3.5, the Iraqi Journal for Computer Science and Mathematics is dedicated to advancing the knowledge and understanding of computer science.
Special Issue Details:
- Title: Special Issue on Systematic Literature Review Papers in Computer Science Fields
- Journal: Iraqi Journal for Computer Science and Mathematics
- CiteScore Tracker: 3.5 (As per the latest available data)
- CiteScore: 2.9 (As per the latest available data)
- Submission Deadline: December 31, 2023
- Publication Fee: None (This special issue is free of charge)
We invite you to contribute your valuable insights and research findings by submitting your systematic review papers to this special issue. Systematic reviews play a crucial role in synthesizing existing research, identifying trends, and guiding future research directions. This special issue aims to gather a diverse collection of high-quality systematic review papers across various computer science disciplines.
Please visit our journal's submission portal at https://journal.esj.edu.iq/index.php/IJCM/submissions
to submit your paper. Make sure to select the special issue "Systematic Literature Review Papers in Computer Science Fields" during the submission process.
We encourage you to review the author guidelines and formatting requirements available on the journal's website to ensure your submission adheres to our standards.
Should you have any inquiries or need further assistance, please do not hesitate to contact our editorial team at email@example.com
Your contribution to this special issue will undoubtedly enrich the field of computer science and contribute to our mission of fostering academic excellence. We look forward to receiving your submissions and collaborating towards the advancement of knowledge.
Dr. Mohammad Aljanabi
Editor in Chief
Iraqi Journal for Computer Science and Mathematics
In education system, students are diverting from basic engineering discipline to computer science, Artificial Intelligence and Machine Learning . Here knowledge from Civil engineering and concepts in Artificial Intelligence need to identify for the best use.
I am student of ms computer science. I am currently working on zero-shot learning. I have done most of the literature review about this topic and I have found almost 18 good methods for zero-shot learning. Now my question is should I work on these methods or should work on creating some new techniques for this. I am new to research that's why my question is very simple
Dear Faculty and Research Community,
I hope this message finds you well. I am writing to express my genuine interest in pursuing a PhD in Computer Science, with a specific focus on Machine Learning and Neural Networks.
With a Master's degree in Computer Science and a strong academic background, I am highly motivated to contribute to cutting-edge research in these fields. I am open to exploring opportunities within your esteemed institution and collaborating with faculty members who share my research interests.
If there are any available PhD positions or opportunities for prospective doctoral candidates in Computer Science, I kindly request your guidance and consideration.
I am excited about the prospect of becoming part of your research community and making meaningful contributions to the field. Thank you for your time, and I look forward to any insights or opportunities you may offer.
For example, if the maximum requirement is 6 pages of main content, but my paper only has 5 pages.
I heard on television a famous professor of ethics speaking about the rights of intelligent machines. There are no intelligent machines and there is no artificial intelligence. Machines function in the way people designed and programmed them to function. A discourse bout intelligent machines leads into a totalitarian society, in which people will succumb to what machines say. And machines will say what power-holders ordered to programmers to program them to say and do.
I graduated computer science; I am now retired and I regret the fact that I spent my career teaching something what now leads people into a mental and physical slavery.
first i send this number to bard chat bot
6020 5603 54830 6750 23000 12370 10000
it responds this.
You have listed 7 numbers.
The sum of these numbers is 103573.
The average of these numbers is 14825.
The median of these numbers is 6750.
The mode of these numbers is 10000, which appears twice.
The range of these numbers is 23000 - 10000 = 13000.
The standard deviation of these numbers is 3844.74.
Is there anything else I can help you with?
then i ask it to standardize them.
and the respond was this.
Sure. Standardizing the numbers will mean subtracting the mean and then dividing by the standard deviation. This will transform the numbers so that they have a mean of 0 and a standard deviation of 1.
The standardized numbers are:
Bing chat respond to the same question what this
I can standardize the numbers you provided. Standardization is the process of transforming data to have a mean of 0 and a standard deviation of 1. This is done by subtracting the mean from each data point and then dividing by the standard deviation.
Here are the standardized values for the numbers you provided:
- 6020: -0.705
- 5603: -0.801
- 54830: 2.891
- 6750: -0.524
- 23000: 0.693
- 12370: -0.191
- 10000: -0.363
Is there anything else I can help with? 😊
and perplexity respond was this.
Based on the search results, it is possible to standardize the numbers provided by converting them into z-scores. Standardizing data is a common practice in statistics to compare variables that have different scales or units of measurement. To standardize the numbers provided, one would need to calculate the mean and standard deviation of the data and then transform each value to its corresponding z-score
Here are the steps to standardize the numbers:
- Calculate the mean of the data: Mean = (6020 + 5603 + 54830 + 6750 + 23000 + 12370 + 10000) / 7 = 15038.43
- Calculate the standard deviation of the data: Standard deviation = sqrt(((6020 - 15038.43)^2 + (5603 - 15038.43)^2 + (54830 - 15038.43)^2 + (6750 - 15038.43)^2 + (23000 - 15038.43)^2 + (12370 - 15038.43)^2 + (10000 - 15038.43)^2) / 6) = 17523.22
- Calculate the z-score for each value: Z-score = (X - Mean) / Standard deviationZ-score for 6020 = (6020 - 15038.43) / 17523.22 = -0.706 Z-score for 5603 = (5603 - 15038.43) / 17523.22 = -0.768 Z-score for 54830 = (54830 - 15038.43) / 17523.22 = 2.238 Z-score for 6750 = (6750 - 15038.43) / 17523.22 = -0.426 Z-score for 23000 = (23000 - 15038.43) / 17523.22 = 0.455 Z-score for 12370 = (12370 - 15038.43) / 17523.22 = -0.152 Z-score for 10000 = (10000 - 15038.43) / 17523.22 = -0.853
By standardizing the numbers, we have transformed them into a common scale that allows for easier comparison and analysis. It is important to note that the interpretation of z-scores depends on the context and the distribution of the data.
so, as you can see it can't even get sum of the data correct. my question is why this models cant get sum of this number right even when they apply all the correct steps
Is there a promising future for someone over 40 years old who is still writing code, and has not become a manager in IT company?
Hi Dears, according to implementation RSA in python. I found that if p and q large.
the decryption phase takes a lot of time to execute.
for example, in this code i select p=23099, q=23059, message=3
it takes 26 minute it decrypts the encrypted message.!
So I wonderful how we can select to large prime number for RSA, while it cannot execute in desired time. !
So, I think that we cannot use RSA i n real time systems.
Are you agree with me?
the source code is:
from math import gcd
# defining a function to perform RSA approch
def RSA(p: int, q: int, message: int):
# calculating n
n = p * q
# calculating totient, t
t = (p - 1) * (q - 1)
start = time.time()
# selecting public key, e
for i in range(2,t):
if gcd(i, t) == 1:
e = i
# selecting private key, d
j = 0
if (j * e) % t == 1:
d = j
j += 1
end = time.time()
#RSA(p=7, q=17, message=3)
RSA(p=23099, q=23059, message=3)
#RSA(p=23099, q=23059, message=3)
ct=(3 ** e) % n
pt=(ct ** d) % n
end = time.time()
I am a Computer Science PhD scholar who recently changed my thesis title. I am currently researching for a suitable title in my field. I would greatly appreciate it if you could share your recommendations, suggestions, or ideas. Your input would be highly valuable and would save me a significant amount of time. Thank you.
I hope this question finds you in good health & spirit!
This is a repeated question but in a different way.
How can I add a research paper to Google Scholar? I have the following three papers, all of them have been added manually to the "Research Scholar":
Nidhal El-Omari, “Sea Lion Optimization Algorithm for Solving the Maximum Flow Problem”, International Journal of Computer Science and Network Security (IJCSNS), e-ISSN: 1738-7906, DOI: 10.22937/IJCSNS.2020.20.08.5, 20(8):30-68, 2020.
Nidhal El-Omari, “An Efficient Two-level Dictionary-based Technique for Segmentation and Compression Compound Images”, Modern Applied Science, The Canadian Center of Science and Education, published by Canadian Center of Science and Education, Canada, p-ISSN:1913-1844, e-ISSN:1913-1852, DOI:10.5539/mas.v14n4p52, 14(4):52-89, 2020.
Nidhal El-Omari, M. H. Alzaghal, and Sameh Ghwanmeh, “ICT and Emergency Volunteering in Jordan: Current and Future Trends”, Computer Science and Information Technology, published by Horizon Research Publishing Corporation (HRPUB), p-ISSN:2331-6063, e-ISSN:2331-6071, DOI: 10.13189/csit.2015.030402, 3(4):105-112, 2015.
But, I couldn't find any one of them when I search for the usual way. To be sure, you can see the three attached snapshots.
As a CS/SE student currently I'm finding an area for research.
Currently my idea was to investigate more about recommendation systems using ML and deep Learning, but with the timeline to complete and the project is limited.
In the above topic research gap is very limited.
Please suggest some research gaps for me to consider.
I just completed a draft copy of my thesis, but I still do not feel that it is up to par. I would need some input from those who have done research on medical imaging.
What are the common pitfalls to avoid?
How many pages and a bibliography?
How about clinical validation? Should I stick with majority voting or rely only on insights from a seasoned pulmonologist?
I look forward to your valuable insights.
How can a low-level employee working in an IT company, without supervising students like a university professor, become an IEEE fellow?
My name is ADALA Roger Bertrand and I am a master's student at the University of Yaoundé I. I am looking for a co-supervisor for my master's thesis. My thesis topic is "Dematerialization of education: use of artificial intelligence (AI) for the dematerialization of courses and exams in higher education, case of the computer science department of the University of Yaoundé I".
I am interested in this topic because I believe that AI has the potential to revolutionize education. AI can be used to personalize learning, provide feedback to students, and create interactive and engaging learning experiences.
Of course, the topic can be changed or improved. I am comfortable working in French or English.
I would be grateful if you could consider supervising my master's thesis. I look forward to hearing from you soon.
ADALA Roger Bertrand
I am a student from Umar Musa Yaradua University Katsina
from Computer Science Department.
I need someone who is going to teach me cyber security.
🌐🤝 Join us at IAIC 2023 - the International Conference on Artificial Intelligence! 🤖✨
📅 November 24-26, 2023 📍 Nanjing, China 🌐 Website: http://www.iaicconf.com/
IAIC 2023 has invited numerous experts and scholars from around the world who are researching artificial intelligence. This includes distinguished editorial board members, authors, and readers of the computer SCI journals under Tech Science Press: CMC, IASC, and CSSE. It promises to be a grand gathering for the editors, authors, and readers of these three journals.
IAIC 2023 is currently accepting workshop proposals, we welcome scholars to submit workshop proposals and serve as workshop chairs to bring together scholars with similar interests for lively discussions and exchange of academic ideas.
🔹 IAIC 2023 is hosted by Tech Science Press, with support from prestigious institutions such as the University of Electronic Science and Technology of China, Jinan University, Nanjing University of Aeronautics and Astronautics, and more. 🔹 We are honored to have Professor Hai Jin, the Director of the Academic Committee at the School of Computer Science and Technology, Huazhong University of Science and Technology, and Professor Yi Pan, the Dean of the College of Computer Science and Control Engineering at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, as the co-chairs of IAIC 2023. Professor Yi Pan is also an Academician of the American Institute for Medical and Biological Engineering.
We continue to extend invitations to high-level scholars from both home and abroad.
Join us at IAIC 2023 to explore the frontiers of artificial intelligence and connect with leading experts in the field. Don't miss this opportunity to be part of an exceptional academic exchange!
#IAIC2023 #ArtificialIntelligence #Conference #AcademicExchange #TechSciencePress #AI #computerscience #WorkshopProposals #AIConference #CallforWorkshops
First part of the question is: what are the absolute essential ingredients behind computation? You need (i) switches, (ii) interconnects, (iii) input energy source, (iv) memory, (v) feedback, (iv) correct timing delays. Are these the basic magic ingredients? Is there anything I have forgotten?
Second part of the question: what are the minimum essential ingredients I need to add to a computer to make it life, ie. self-reproducing?
In other words, when we compare the computational characteristics of a living cell to that of a standard computer, what are the essential differences? It is something to do with the instruction set itself, how it comes into being, gets processed, and replicated...but I can't quite put my finger on it and express the idea succinctly. And if I can't express it, it means I don't really understand something. Any ideas how to describe the essential ingredients rigorously?
Please suggest some fast publishing Elsevier/IEEE/Springer/T&F journals in Electrical and Electronic Engineering/ Computer Science
Uncontrolled development of AI - artificial intelligence is a very dangerous thing!
👉 Dangerous to humanity, really, I say that as a person from the IT sector, as someone who spent the first half of his life (39 years) well, the last 25, spent in IT, passed all levels of formal education, passed university teaching positions... etc. .
To learn robots write and walk, and not our children, or gave them smartphones instead of time in nature? So sad ... and most people doesn't have time really?!
‼️ I think most people are not aware...
• One does not need to be overly intelligent to see what is happening, that we need to react and slow down or indeed put a moratorium on the uncontrolled (I will add insane) development of AI.
Of course, such development (if it is development at all?!) humanity does not need, except for those with a bad ultimate intention for all of us as a human species.
Imagine if, as a side effect of all this, it would be the "end of the world", and we would then call ourselves the most intelligent beings on Earth? We!? 😡
"Should we allow machines to flood our information channels with propaganda and untruths? Let chaos ensue.
Should we automate all jobs, including those that fill people's lives with meaning?
Should we develop non-human minds that could eventually outnumber, outsmart, outdate and replace us?
Should we risk losing control of our civilization?
👉 The letter has so far been signed by more than 27,500 people, including the author of several bestsellers such as Sapiens Yuval Noah Harari, Apple co-founder Steve Wozniak, Skype co-founder Jaan Tallinn and numerous artificial intelligence researchers such as Stuart Russell, Yoshua Bengio, Gary Marcus and Emad Mostaque." IndexHr
‼️ Personally, I would sign this letter and topics without thinking, because we are not even aware that at some point even that will be impossible.
👉 This is not a conspiracy theory, these are the facts today!
Also, take part in discusion and thank you. 🙏
💕 Let's think about the future in time, please. 🙏
Now a days, core subjects in Engineering such as electrical, electronics, chemical, mechanical and civil apart from computer science are getting least priority for option. These days everything is controlled, operated and done by software based instead going manually or making decision collectively. Most people are depending on what computer says to follow or understand in several fields. Will this continue or in what way does other subjects may or shall occupy a prominent position or importance on par with computer science?
what is the overlap points of triz theory and the electrical and computer engineering and computer sciences? the innovation methodology triz theory can be searched by keyword "triz",and refer to methods related to tenological innovation stimuli methods, what is its applications and examples in electrical and computer engineering and computer sciences?
can you help me to find materials and books?especially about applications and examples.
I am Student in EMBA in second semester, I have Bachelor in Computer science but I have more than 10 year experience in Finance and Accounting, I would like to connect my EMBA Thesis with Finance and Accounting topic, What would be your suggestion for me?
I am seeking a reliable data source or database that can provide current and past affiliations for authors of scientific publications.
While I am familiar with platforms such as Scopus and Web of Science, I am unable to use them due to the requirement of an institutional subscription or the need to search for authors individually. Ideally, I am looking for a database where I can extract information on all authors affiliated with a specific institution.
My research is focused on computer science, so a data source that specializes in this field would be perfect, but I'm open to any suggestions you might have. Thanks!
I am Ayah Soufan, a 3rd-year Ph.D. researcher at Strathclyde University interested in designing systems to help scholars conduct literature reviews. If you are a Master's student in Computer Science or any related field, working on your literature review of your MSc project, and if you are searching for, reading, and making sense of papers on your topic, I would love to speak to you! This study will take place on Zoom for up to 1.5 hour with a £20 compensation (online voucher). Please fill out this survey: https://lnkd.in/e_vq5Kci Once your eligibility for the study is determined, I will contact you as soon as possible to set a date\time that suits you for the study session.
One of my friend completed his bachelor degree in mechanical engineering. But now likes to join in computer science engineering related master degree program.
Is it possible to do masters in computer science related courses. If yes, please suggest the courses. Thanking you...
Psychoanalysis is the branch of Linguistics in the Humanities that gave birth to Artificial Intelligence in Computer Science. However, there should be a link of research between the scholars from both disciplines so as to further open another trend of researches on limitations of Robotics to preform duties of humans.
Hello fellow researchers. I am pursuing a research career along with a full time Software Engineering Job. Does anyone have pointer on how they handled being in a similar situation. Any help would be appreciated.
Here are the action items I want to explore:
1- How do you balance work and research?
2- How do you publish, list of publication ( Computer Science AI related)?
3- How can I work as an independent researcher and collaborate?
I'm pursuing Master's in Computer Science. My area of expertise is software development (web full stack).
I am new to research domain and processes. I'm trying to search for a research topic but having a hard time narrowing down to research gap.
I'm exploring following areas in NLP
- Dialogue and Conversational agents
- Knowledge graphs
- Low resource & domain adaptation by transfer learning
- Multi-lingual NLP
Apart from NLP I'm looking for
1. Microservices architecture patterns
2. Component based software frameworks
All I'm finding online are survey papers. Am I using too generic keywords? Can someone help in how to narrow down to a topic from domain/ research area?
Thanks in advance!
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?
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.
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!
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?
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)
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!