Computer Science - Science topic

I am trying to make an NN for meteorological prediction, for which I have input data of only one meteorological station. I have target data of more than one location.

I have to train the NN in such a way that I gove it two input values (e.g.current temperature, pressure) and want to obtain temperature output at more than 50 locations and more than one time steps.

e.g. the input :

(25, 101.32)

should give output:

temperature after 2 hrs = 25, 26, 28, 29, 27.5

temperature after 4 hrs = 24, 23, 26, 26.5, 27

In which pattern to arrange the input and target data, and how to change the number of NN output nodes to obtain these results?

Hello Researchers, I would like to know some Q1 paid journals with fast publication in the field of computer science major?

The major spices and ingredients to add flavour in a paper for a journal in the domain of Computer Vision and Machine Learning.

One of important aspects of a researcher career is searching for funding of his/her scientific projects. What kinds of projects in computer science are likely to be supported? What are the most important aspects in a project proposal? What are the best opportunities for a young scientist?

My paper is related to Trading using statistics.

What are the primary real problems in your' specific field need to solve based on these two parameters? ex., if this sentence becomes as truth in computer science need :

1. Increase interest in preparing people who are able to develop robots from two sides hardware and software

2. Open a new department of a robot in all colleges of science and information technology

3. Convert the lab from the virtual environment into the real environment this meaning reduce the theoretical part and increase the particle parts

[ If you want to progress, you must put forward solutions for the obstacles you will encounter tomorrow]

I do not know much about game theory. I am finding a book where different protocols and algorithms of computer science have been analyzed using the concept of game theory.

I need these data-sets or any other alternative to have title, abstract, body text and references? 

Hi there,

my name is Panagiotis Koilakos and I am studying computer science in AUEB, Greece.

During an HCI(Human-Computer Interaction) course, we had to select a home device and try to beautify it through a better UI.

This is the final evaluation of the project and we would like some people to run the app and answer to a short questionnaire (we kept it short, promise!).

Here ( https://docs.google.com/forms/d/e/1FAIpQLSctCd4jPMu1C1GA9V1dJevKzqrKsfUXfPpAqMYoAE2_Ci2fdw/viewform ) you may find the questionnaire (.exe can be downloaded from there - not the best option...I know).

Thanks very much anyone that spares 10 minutes to give a helping hand on finalizing this

Because I have to publish two papers

Hello All Good morning as we all know we are going through a very tough time. All companies are closing doors.I am trying to connect the following points understand the nature and role of psychology in understanding mind and behaviour, state the growth of the discipline in developing computer softwares and nlp based courses. Understand the different fields of psychology, its relationship with other disciplines, and professions, and•appreciate the value of psychology in daily life to help you understand yourself and others better.

This kind of course will have the following benefit.

In lockdown mode to provide online therapy and conditioning for those who are disintegrated.

Identify the goals and help them understand technology better.

Identify the criteria for work and data science.

Identify twitter feeds.

Secondly we would like to create a powerpoint presentation why the students would like to have Computer science with physchology as a course.

Following points are needed why will we choose CSE with physchology as a course?

What are the market forecast capabilities and need for specilaization

Specilaization

Examples of the job prospects.

How to select the career choices.

What will be the elective to study the same

My name is Hagos Meles. I have BSc. Degree in Computer Engineering. I have been worked in database and GIS (geographical Information System) related fields in the past 5 years. Now I am studying master's degree in computer science in Huazhong University of Science and Technology. In the next semester I have to submit my proposal for my research area.

In Asmara (capital city of my country Eritrea) cadaster office database management system have not Geodatabase to include geographical information of the building, roads and other infrastructure of the city. Due to this it is difficult to find the exact location of a specific building or other infrastructure. I want to design geodatabase for this cadaster office as my master’s research topic to overcome the above problem. So what would you suggest me? Is this enough research topic for master’s degree in our school Computer Science? Thank you for your time.

Big data and machine learning, can both be implemented?

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.

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?

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.

Hi all,

I've used the ATHI scale to investigate attitudes towards homeless across two disciplines: Social Work and Computer Science. It has been validated. However, the scale only uses 11 items intotal which makes me think this may be one reason. Another reason is that I am simply doing the analysis wrong. Can anyone help?

The ATHI scale has 4 sub-scales (Personal Causation, Societal Causation, Affiliation and Solutions). When analysing the PC sub-scale I get a Cronback's alpha of .47. This subscale only has 3 items. Also, am I supposed to split these between subjects? If so, for social work students the Cronback's alpha is .484 and for computer science students the Cronback's alpha is .525.

Help is apprecaited.

I am currently writing thesis for my undergraduate where i need to design a machine learning model to estimate the soil data between 2 borehole based on the bore log data. Sorry in advance if i have terminology mistake as I am a computer science student.

Some journal listed as good journal in SCImago Journal & Country Rank (http://www.scimagojr.com) with relatively good h-index for example Journal of Computer Science (from Science Publication) is identified as possible predatory Journal in Beall's list. Which one I should follow?

Dear Colleagues,

The occurrence of a new, extremely pathogenic betacoronavirus, SARS-CoV-2 (2019-nCoV), is responsible for the CoVid-19 pandemic health emergency. Accordingly, SARS-CoV-2 represents a serious global health warning characterized by high mortality, a high contagion rate, and a lack of clinically approved drugs and vaccines. In order to find safe and effective therapeutic options to treat this infectious disease, computer science could play an extremely relevant role to better understand the virus pathogenic mechanism as well as to propose novel therapeutic strategies. Accordingly, due to progress in computer science, in silico methodologies in medicinal chemistry, pharmacology, biology, genetics, and virology cover relevant tasks in modern research in these fields. Furthermore, due to the current global health warning, such computational techniques could speed up research in order to provide innovative and targeted approaches to fight the coronavirus emergency. In light of this, this Special Issue will highlight progress in terms of drug discovery, virus biology, and epidemiology to provide researchers with the most innovative computer-driven methodologies for fighting SARS-CoV-2.

For this Special Issue of Computation, we invite researchers in the fields of computational drug discovery (including drug repurposing approaches), computational biology/genetics, virology, bioinformatics, and epidemiology to submit original research, short communications, and review articles related to the use of computation to fight SARS-CoV-2.

Dr. Simone Brogi Prof. Vincenzo Calderone Guest Editors

Dear All;

I know that most of you have good experience with writing a strong research paper with novelty and originality of the ideas and results. I want some strategies and steps to start writing again because, since my master's thesis, I have not written something quite strong.

Therefore, please I need your following strategies, not links because I could find a lot of links. However, I'm asking the experts in my field (Computer Science) and especially in Deep Learning!

Thanks all in advance!

What are the common points between Data Mining and Swarm Computing?

please i need suggestions about a research based topic that would help me achieve a great result for my dissertation

Hey Colleagues,

I hope you are healthy and safe during this quarantine.

For any machine learning model, we evaluate the performance of the model based on several points, and the loss is amongst them. We all know that an ML model:

1- Underfits, when the training loss is way more significant than the testing loss.

2- Overfits, when the training loss is way smaller than the testing loss.

3- Performs very well when the training loss and the testing loss are very close.

Nevertheless, I am not quite sure if the results are acceptable. Since the training loss is a bit high (0.5). I tried to lower the training loss by giving more complexity to the model (Increasing the number of CNN layers and MLP layers); however, this is a very tricky process as whenever I increase the complexity of the architecture, the testing loss increases, and the model easily overfits.

I look forward to hearing from you,

Thanks and regards,

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!

Please if you state one in answer do provide

What are pros and cons of each?

Have you applied what is your experience.

What is funding limit?

Is it every year or twice a year?

Range of project funding duration?

Competitiveness of funding?

Is a one university based or a collaborative kind of funding?

etc

saying texture i mean topography.

Hello,

If I am going to submit my work to a CS conference, and also make my Python code available publicly, is it absolutely necessary that I set seed in my Python code?

I ran an experiment, but I realized that I forgot to set seed. Will my publication be rejected at the conference because the seed is not set?

Thank you....

If we have a problem and we build four methods to solve it, should we say we build a model that contains four methods ? or should we use another word instead of model ?

Hello

I have the following situation: I have a paper X about topic Y. For paper X I did a forward search with Web of Science (checking all new papers which cite paper X). Then I have downloaded all articles I have identified via forward search (approx. 1'000 Papers). Now I would like to sort these papers according to the frequency of specific keywords used.

For example: I have found paper Z via forward search (so paper Z cites paper X which is about topic Y). Now I want to check if paper Z is also concerned about topic Y or if it just refers to it in passing. For that I search for specific keywords which correspond to topic Y. According to the frequency of the specific keywords mentioned in paper X, I want to classify it in the category "relevant" or "not relevant". Now, how can I determine the threshold for the keywords? That is, if paper X only uses the specific keyword once it is most probably not relevant to topic Y. But if it mentions the specific keyword 20 times it is probably relevant for topic Y.

Is there a recognized methodology to determine or approximate a threshold for the keyword frequency which allows to distinguish if a paper is relevant to topic Y or not?

With this approach I hope to reduce the 1'000 papers to those which are about topic Y.

I have found some beautiful techniques to solve complete or partially problems such as:

1- Goldbach’s conjecture

2- Riemann hypothesis

See more in my notions:

Can someone suggest a fully funded distance learning postgraduate diploma in computer science or related area? It would be a great help😊

Hi! I am student at the University of Maribor - Faculty of electrical engeneering and computer science (specifically Electronics). I want to know more about how can I merge the BDDs or ZBDDs with the electronic problems? Any concrete ideas?

Thanks, bGood 😉

Currently there is a trend to apply virtual methods, ICT based, to teaching in HE . Frequently professors face the situation, when they have been teaching in face-to-face modality and want/need to do the same, but in distance education, virtual modality. Do anybody have a practical experience, or knowing about a specific methodology for Computer Science courses?

My research focus on assessing an organization security culture , and really some persons advice me to use fuzzy methods , my question is that Does fuzzy AHP and Topsis are related to Computer Science because my paper must related to computer science?

Please I am an Msc Computer Science and Technology student and my research area is software testing. My professor is really interested in Fault Localization but I am having huge challenges in performing experiment. Please could you recommend me to any company for intern so i can gain industrial experiences in software testing.

I am currently in China and i can travel to any country just to acquire the knowledge please.

Thanks in advance

To keep it precise and simple what topics must be included and what learning path mustbe followed for designing computer science syllabus for future.

I wonder how a machine viz computer became a stream of study with science appended with it. How it happend ? Is it a science ?

I have been struggling to get endorsement for putting preprint in arXiv. What is the best method to get endorsement in arXiv for computational geometry in computer science (cs.CG)?

I am looking to enter the field of Complex Systems or Complexity Science as a postgraduate in my Computer Science faculty, specifically focusing on Agent-Based Modeling. However, I am unclear on the current problems being addressed, what the research trends are, and how it may be applied in industry from a CS perspective, because there is currently no one in my faculty involved in Complex Systems. Any clarification on this issue would be greatly appreciated, thank you.

Please I am an Msc Computer Science and Technology student and my research area is software testing. My professor is really interested in Fault Localization but I am having huge challenges in performing experiment. Please could you recommend me to any company for intern so i can gain industrial experiences in software testing.

I am currently in China and i can travel to any country just to acquire the knowledge please.

Thanks in advance

Hi friends, I am looking for the help to decide the topics for the PhD proposal in Data Science. I am from BPFI domain and working in Retail banking. I have had an opportunity to work some of compliance and regulatory projects e.g Digital transformation, Replatform, Data Migration, BASEL, SEPA, PSD2, CRM, GDPR and recently completed my masters in computer science (Data Analytics)

Please also help me with the challenges and post PhD future in academic as well as jobs.

Thanks in advance !

In general the first principle is a basic assumption that cannot be deduced any further. Related to different fields of human activity there are different definitions of first principles, for example for engineering those are the laws of physics. Often great innovation in science/engineering happens when the new idea is not build on top of the current state of the art or commonly accepted technology. Instead the problem is initiated from those first principles or in other words "what we know for sure" and re-build from there.

So, what are the first principles known so far in computer vision, particularly in object detection. Are there fundamental "can do" and "cant do" that take its roots and proofs in computer science, physics, mathematics?

Hello everyone!, my team and I are working on a mobile application dedicated for promoting mental health and we need some insight.. Please take our survey and if you would like to help further you can spread it in your communities. If you have any suggestions we would love to hear them.

“AIs will colonize and transform the entire cosmos,” says Juergen Schmidhuber, a pioneering computer scientist based at the Dalle Molle Institute for Artificial Intelligence in Switzerland, “and they will make it intelligent.”

What do you think? do you think the AI will change everything in the life? do you believe that the AI will become a threat for human or not?

and if yes, how near is that day?

I'm looking for journals that are indexed in Scopus and Clarivate that may accept articles monthly for free of cost!!

I feel very happy to tell you ,I am interested in networking,i would like to continue my research in the field of wireless networks.i need some suggestion regarding where i need to start my journey in the field of computer science and networking.i am also thankful to you if you suggest present research trends and evolution .

In layman terms, Artificial Intelligence is an area of computer science where computers are developed to behave much the way as humans do. The research topic will aim to illustrate the various levels of AI in various companies implemented till date, the future projects that may impact and discussion of the argument of whether AI will 'support' HR Industry or 'replace' the current workforce, till what extent will the HR Industry be impacted globally. Which skills can be automated and which cannot be automated are a few things which i want to reach at the end!

I need help plz, anybody can help me to find a good master thesis topic in the field of computer science/IT.

The topic related to improving wireless network performance/security using one of Artificial intelligence techniques.

any help would be appreciated

thank you in advance

There are a lot of problems in medicine that needs the newest technologies in computer science fields like Machine Learning and Deep Learning to solve them.

Can anyone mention some of these problems that are unsolved till now?

Dear Friends and Colleagues from RG,

I wish You all the best in the New Year. I wish you a successful continuation and successes in scientific work, achieving interesting results of scientific research in the New Year 2019 and I also wish you good luck in your personal life, all the best.

In the New Year, I wish You success in personal and professional life, fulfillment of plans and dreams, including successes in scientific work, All Good.

In the ending year, we often ask ourselves:

Have we successfully implemented our research plans in the ending year? We usually answer this question that a lot has been achieved, that some of the plans a year ago have been realized, but not all goals have been achieved.

I wish You that the Next Year would be much better than the previous ones, that each of us would also achieve at least some of the planned most important goals to be achieved in personal, professional and scientific life.

I wish You dreams come true regarding the implementation of interesting research, I wish You fantastic results of research and effective development of scientific cooperation.

I wish You effective development of scientific cooperation, including international scientific cooperation, implementation of interesting research projects within international research teams and that the results of scientific research are appreciated, I wish You awards and prizes for achievements in scientific work.

I wish You many successes in scientific work, in didactic work and in other areas of your activity in the New Year, and I also wish you health, peace, problem solving, prosperity in your personal life, all the best.

Thank you very much.

Best wishes.

I wish you the best in New Year 2019.

Dariusz Prokopowicz

I'm looking forward to getting some suggestions for writing a research proposal about car plate detection using DL. Looking for the following:-

1- Writing Style

2- Topics for Ph.D. research proposal in Deep Learning.

3- How to engage the attention of the reader in my research proposal?

4- Examples of research proposals using deep learning techniques!!

I need lists of top journals in computing that are free or inexpensive.

AI has been an interesting topic in other fields especially in Instrumentation Engineering and Computer Science. Can we, Geotechnical Engineer, use AI in our field? If yes, then, how we can use it?

Journal, Magazines and Letters publish scientific articles. What is technical difference between these articles and their recognition?

Writing Style, technical soundness, number of words etc.

Is International Journal of Advanced Computer Science and Applications IJACSA indexed in Scopus?

Does Journal have a sjr?

Mathematics is crucial in many fields.

What are the latest trends in Maths?

Which recent topics and advances in Maths? Why are they important?

Please share your valuable knowledge and expertise.

Hi all,

surfing the web I wasn't able to find a simple and effective answer to my question. In other words, I need to speed up a code I wrote using several packages such as raster, rgdal, biomod2 and ncd4 on GIS data: do I need to wait somebody else (or me too) to develop a NEW ratser etc. package which forces R to use GCPU or is it already possible siply loading additional packages before my code run such as gpuR, parallel or what else?

All my bests

I want to ask what could the scope of IOT in agriculture or smart agriculture if I want to start a research in this field?

Also i need some suggestion on what could be the area of research in this field for a person from computer science field?

someone knows information on Summer Student Programme in CERN?

for example your Experience , condition there, Is it desirable or not, Do you think I 'll sign up or not and Any other information.

I am materials engineering.

thanks.

I am doing MS in computer science my sub field is networking, i have interest to do research in IOT that's why I need guide and help for selection of topic for my research. Please anyone enlist best topics according to my interest. Thank you in anticipation.

Dear Friends,

Can anyone answer this question that has been perplexed me for years? What kind of scientific discipline blatantly violates basic principles or proven rules of scientific method? What kind of scientist fiercely defends such blatant violation of basic principles or proven rules of scientific method?

Last time a scientific discipline that blatantly violated scientific method was before 17th century, when researchers fiercely defended geocentric paradox in violation of scientific method. In their defense, most of the basic rules and principles of scientific method were not yet known or properly established. Most of the basic rules and principles of scientific method were formed and which have been perfected since 17th century by many great philosophers of science and brilliant scientists, particularly based on valuable lessons and insights learned from the painful experiences gained from subverting geocentric paradox, which transformed the basic science from fake science into a real science.

What is a scientific discipline? A discipline can be a scientific discipline, if and only if the BoK (Body of Knowledge) in all the published textbooks and accepted research publications for the discipline must have been acquired and accumulated without violating basic principles and rules of scientific method. The purpose of modern scientific method is perfecting the quality of knowledge by finding and eliminating imperfections and/or anomalies. Scientific method doesn’t offer a recipe, hints, and guidelines or impose restrictions for doing research to acquire new knowledge, but provide tools to keep scientific research in the right path by detecting mistakes that can divert research efforts into a wrong path.

Each piece of knowledge in the BoK must be supported by falsifiable proof (backed by evidence and facts), where each piece of knowledge and its proof is open for challenge and perfected by rigorous testing and empirical validation. The research community in 17th blatantly violated basic scientific rule, when they tried to suppress and tacitly sabotage efforts to expose 2300-year-old unproven flawed presumption (i.e. the Earth is at the center) in it’s vary foundation.

Except computer science, I could not find any evidence that any other scientific discipline violated scientific method so blatantly. It is beyond my comprehension, why researchers of computer science fiercely defending such blatant violation of basic principles or proven rules of scientific method.

Unfortunately, software researchers acquired so much invalid BoK by blatantly violating scientific method. Since it is impossible to solve any problem by relying on invalid knowledge, software researchers concluded that it is impossible to solve certain problems (e.g. real-CBD/CBE or real computer intelligence). But it is not hard to solve those problems by acquired relevant valid knowledge. Please refer to ValidKnowledge.pdf for more information.

P.S: I also failed to find a real scientist, who can understand code of conduct for real scientists: CodeOfConduct.pdf

Best Regards,

Raju Chiluvuri

Hi, I'm working on sequence alignment algorithms. My background is Computer Science. Given two sequences, what could be the max length of a gap and how many insertions/deletion at one stretch I may consider? I think more than one insertion/deletion at one stretch is useless...? My algorithm will accept a large text file, and report locations in the file where the best regions are found.

For example:

Query: ATCGACTAACCA

File: TCAGCTTCCAGCTA

When I executed these two strings on ebi.ac.uk, I got the following result, 7 pairs match.

EMBOSS_001 A T C G A C T A A C C A ---- EMBOSS_001 - T C A G C T - T C C A G C T A

However, my algorithm reports an 8 pairs match, which one is better? Please suggest. Many Thanks in advance...

Query A T C G A C T A A C C A File: - T C A G C T T C C A G C T A

Distinguished Professor and Researchers

Computing Science, Communication, Security and Priacy

International Community

Call for being a panel member, Technical Program Committee - International Conference on Computing Science, Communication and Security (COMS2-2020) to be held at Ganpat University, India during 26th  – 27th  March 2020.

Conference web site http://coms2.gnu.ac.in/index.php

As it is a very important and essential to establish academic and research credibility of the conference by involving domain expert researchers, professor like you and others from across the world, attract good number of high quality research papers and also to build a public image of the conference.

Interested Professor, Researchers in area of Computing Science, Communication and Security Privacy may please send me your Name, Designations, Affiliations University, Institute , Industry Name, your email id at

Dr. Nirbhay Chaubey

Dean, Computer Science, Ganpat University, India

e-mail: nirbhay@ieee.org, nirbhay.chaubey@ganpatuniversity.ac.in

Being a computer science student, I don't know much about statistical testing. However, recently, a lot of work has reported statistical validation of their result. In machine learning-based prediction of effector proteins, how do you apply statistical tests to validate the result?

I am pursuing B.Tech.

I need a good project topic on Networking.

Can you please help me?

are any one of you doing research on sat implementation in cryptanalysis?

if so please help me....

dblp computer science bibliography

I completed a study in which participants experienced two developed interaction conditions and completed the same questionnaire post each condition. I am trying to analyse the data to look for correlations between question answers and whether the condition had any significant effect on answers.

I have performed a Wilcoxon signed rank test which showed no statistically significant difference in answers between the two conditions. However, I have also performed a spearman correlation test which showed some statistically significant differences. This contradiction has me a bit confused.

I have been doing a lot of reading online to work out the tests that i could use. If anyone could help shed some light on this it would be most appreciated.

There seems to be a lot of debate between subject areas so to clarify things, my research is in the field of computer science.

How Machine Learning can be helpful to developing production of new materials?

In my opinion it is so useful in materials engineering.

It is my understanding that machine learning approaches perform best for predicting secondary structures in proteins ( having prediction accuracy of up to 80% ). However, protein structure prediction with ML relies on finding homologous regions established from previously determined structures. So, it won't work for proteins for which no known homologues exist. My background is computer science and, not being from the field of biochemistry, I wonder whether non-ML methods like improved Chou-Fasman and GOR are still being worked on.

My field of study: Computer Science

Topic of Interest: Cyber Security, machine learning and virtualization. But I am fine with other are too

Thank you in advance

Dear colleagues,

I would like to announce that we have started a Special Issue on Artificial Intelligence and Blockchain in the IJIMAI journal. Publication in IJIMAI is peer reviewed, open access and free of charge.

Additionally, is was recently announced that IJIMAI is indexed in Science Citation Index Expanded (Clarivate Analytics) beginning with vol. 4(3) March 2017. The journal will be listed in the 2019 Journal Citation Reports with a 2019 Journal Impact Factor when released in June 2020.

If you are working on interesting Blockchain and AI synergies, I would like to invite you to contribute to this SI.

Please, find all the info in the SI dossier:

Shall you contribute a paper, please submit it through email to either editor.

Best regards.

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.

Dears,

Is the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) applicable for research in the Computer science field? I noticed that often this method of literature research is used only on medical studies.

If not... What do you suggest as a method for a systematic and structured literature review?

I appreciate your contribution.

Abdullah.

Those knowledge representation forms can be considered traditional, because they are related with historically first times, mainly symbolic period of Artificial Intelligence. Are they applied so widely, to justify their inclusion in a general undergraduate course for Computer Science students?

I'm trying to run a tensorflow program that requires at least a cuda cpu (I think).

Google Cloud has a 300 dollar voucher for their parallel processing service. From what I understand, the 300 dollars can run out real quick.

I may go buy a cuda cpu.

Does anybody have a computer that can run Open AI's GPT-2's (see below) application? Perhaps we can collaborate on a paper.

I was thinking of contacting somebody at my school's computer science department but don't want to ruffle any feathers. Besides, not sure if they even have sophisticated computer equipment. No harm in asking.

https://github.com/openai/gpt-2

hello everyone,

i just want to hear from all of you on this, if you have a given a chance to develop some innovation then what it going to be, it can be anything.what you want that not available now and you want it to be developed.

Thanks

Hello Everyone,

I build a framework that describes how culture influence requirement engineering activities. I want to represent the framework using set theory and mathematical modelling. However, I do not have the basic to build it. Is there any article.books/publish papers on software engineering or computer science that might help me to understand the basic to represent the framework using set theory and mathematical modelling

One of my potential research areas, when I was working on my M.S. in Computer Science, was data sonification. There’s so much information on data visualization, and it is a tool that is used in so many industries. But there seems to be a lot less interest in data sonification. While I admit that the use cases are more limited, I think there’s still plenty of research that can be done.

For one thing, time series data may be more usefully encoded, at least in some cases, as sound, rather than a visualization.

I was thinking about what would be truly impossible problems in machine learning, even with unlimited data. I quickly taught of the well known halting problem, which is known to be impossible to decide.

However humans are in many cases able to decide the problem by analyzing code. While my initial instincts are that machine learning could never fully solve the problem, would it be reasonable to believe that it would be possible to improve on human performance?

After all any program can be converted to a turing machine which is a grammar. A sort of compiler can be used to build a meaning representation, which could then be used to train a machine learning application.

And could working on such problems allow us to study better models that incorporate some sort of reasoning capability?

Good Evening,

Recently I have applied at some university for PHD admission in computer science. I got cleared the entrance and i have got a call for GDPI for research proposal. Now several times i have applied but i have failed, can any one guide me how to do it?

Kindly, suggest me some SCIE, ESCI or SCOPUS indexed computer science journals which are paid but fast response?

In a research (e.g. computer science, etc.) that involves enhancing existing algorithm or introducing a new algorithm: 1. What will the research design involves? 2. How does one quantify the research method (since research method is either quantitative or qualitative or mixed methods) ?

what would be the time taken by Malaysian Journal of Computer Science (MJCS) for First review?

computer science bioinformatics

Do you think scientists are more susceptible to concluding that a false positive is a real positive or that a false negative is a real negative?

As I understand,

A) A false positive is when a scientist concludes that an experiment/assay succeeded when actually it failed.

B) A false negative is when a scientist concludes that an experiment/assay failed when actually it succeeded.

A scientist can waste a lot of resources on a false positive if (s)he doesn't notice that the material (s)he is testing is not what (s)he thinks it is. All observations are irrelevant to what you think you are studying as well as anything you publish about it.

A scientist could dismiss a powerful medical drug by falling for a false negative. The drug works. You just didn't test its properties well never to return to it ever again. Are theorists more susceptible to falling for false positives and experimentalists are more susceptible to falling for false negatives, for instance? For theorists, maybe we talking about models more than assays.

Also do you think scientists are conditioned to look out for false positives or false negatives more so? Which one is more dangerous to science?

Nearly all experiments and theories require optimization so false positives and false negatives are certainly possible occurrences.

How to write an effective research proposal in computer science and engineering so that it has the maximum probability to be selected? What kind of proposal are given more preference? What are the parameter on which a research proposal is evaluated?

I'm a third year computer science student.I have taken an interest in this project and i really appreciate it if you could help me.It's for my final year project and i really don't know what to do...

Helloo hi

im computer science student at final year .. im doing research on it .. i need help

Could anyone please suggest which one is easier to get accepted for conference proceedings inclusion?

Lecture Notes in Computer Science(LNCS), Lecture Notes in Artificial Intelligence (LNAI), Lecture Notes in Bioinformatics (LNBI), LNCS Transactions, Lecture Notes in Business Information Processing (LNBIP), Communications in Computer and Information Science (CCIS), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), and IFIP Advances in Information and Communication Technology (IFIP AICT), formerly known as the IFIP Series.

The Genetic Algorithm can be modified in different ways. Even Goldberg's book, Genetic Algorithms in Search, Optimization and Machine Learning, specifies various enhancements that could be done for genetic search.

Which is the exact method implemented in Weka for genetic search for attribute selection? The software does refer Goldberg's book, but I'm still not sure about its deeper specifics.

Some of which are

I am looking to build Reinforcement Learning agent architecture (artificial intelligence) that is inspired by computational structure of human brain.

For that task, I would like to find a source that would have a cutting-edge scientific understanding of what segments brain consists of, what are the links between those, and what function each of them has (to the best knowledge of science).

Any help would be appreciated!

Looking for independent recommendations

Its based on my research paper. The link is below

preferably somebody from computer science/cyber-security background.

if you agree i will provide in the letter to sign in , you just have to review hand sign and scan it back to me.

Thank you so much for your time and consideration.

Best regards

parves

Dear all,

I am currently studying masters in software engineering and management and looking for thesis topics related to android.

it would be great if you could provide some ideas.