Computer Science - Science topic

Rodgers’ evolutionary concept analysis is being used in Nursing field. I could not find any paper that prove that Rodgers’ evolutionary concept analysis has been used in any other fields other than Nursing.

Dear all,

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.

Thank you!

Regards,

What kind of technique is used for systems of IoT?

What are the challenges for testing IoT?

Do we need to modify traditional testing technique for IoT?

I really appreciate if anyone discuss or refer some papers.

Thank you

I wanted to get a scatter plot but the constraint is to plot these points over an image with same dimension as the range of points. Is is possible? If yes which library is good to start with? I tried using gnuplot but it is causing problems. For now I have a code which was stated here but didn't work. I tried using a bitmap image with the points to be plotted in data1.dat file and used the gnuplot script which is stated in the link

set terminal pngcairo transparent

set output 'Figure1.bmp'

plot "Co_ordinates0.dat"

set output

To apply graph theory concepts in computer science and engineering.

When Einstein published 4 great papers in one year, it was something very special. Now this is not the case,

there are many professors who publish papers every week even if they don't do any work in this papers. What is the reason to write a professor name in your paper from your perspective?

How can a young professor reach that in the beginning of academic career path?

I found so many papers aplying the Deep Deterministic Policy Gradient (DDPG) algorithm implementing a critic neural network (NN) architecture where the action vector skips the first layer. That is, the state vector is connected to the first layer, but the actions are connected directly to the second layer of the critic NN.

Actually, in the original DDPG paper ("CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING", Lillicrap 2016) they do that. But they do not explain why.

So... why is this? Which are the advantages of this architecture?

Thanks in advance.

Can we affirm that whenever one has a prediction algorithm, one can also get a correspondingly good compression algorithm for data one already have, and vice versa?

This Special Issue will focus on control, modeling, various machine learning techniques, fault diagnosis, and fault-tolerant control for systems. Papers specifically addressing the theoretical, experimental, practical, and technological aspects of modeling, control, fault diagnosis, and fault-tolerant control of various systems and extending concepts and methodologies from classical techniques to hybrid methods will be highly suitable for this Special Issue.

Potential themes include, but are not limited to:

Modeling and identification

Adaptive and hybrid control

Adaptive and hybrid observers

Reinforcement learning for control

Data-driven control

Fault diagnosis

Fault-tolerant control of systems based on various control and learning techniques

Prof. Dr. Jong-Myon Kim

Prof. Dr. Hyeung-Sik Choi

Dr. Farzin Piltan

There are many subjects covered in Computer Science studies. we should do the discussion on Which subject is most important in Computer Science? and why?

I am currently enrolled in bachelors computer science program and i have chosen my final year project in "securing supply chain using block chain" i am currently searching different research works in this field any help would be appreciated

Dear Friends,

How could any proof for disruptive discovery or theory could see the light of day (or error in our knowledge can be exposed), if no one is willing to investigate evidence that can prove the disruptive discovery or theory?

For example, how is it possible to expose flawed basic beliefs (e.g. such as the Earth is static at the center), if no one is willing to look at evidence that can expose such basic errors? If anyone try to expose such error, often many scientists or researchers resort to personal attacks or humiliating insults to suppress open honest debate.

The basic moral and ethical obligation or sacred duty of every scientist is pursuit of absolute Truth directly or indirectly, where indirectly also includes moral and ethical obligation to validation of sacred tenets for upholding Truth. Refusal to investigate conclusive evidence that can prove a new discovery of fact is tantamount to promoting an error by suppressing the Truth. Suppressing truth (by any scientist) is a volition of scientific method and moral code of conduct (for anyone consider himself a scientist).

How any new discovery of fact, basic error in mankind’s knowledge or new theory could see the light of day, if each member of community of researchers or scientists evade their mandatory moral obligation of investigating evidence and facts that can prove the theory or expose a flawed belief? Any real discovery only shines under rigorous validation or scrutiny by brilliant critics or opponents.

No researcher or scientist should ever ask anyone to blindly believe his/her discovery or theory. Every discovery or theory must be backed by falsifiable proof, evidence and reasoning. Falsifiable doesn’t imply that the discovery or theory is flawed, but it can be falsified, if it is flawed, for example, by finding a counter evidence or sound counter reasoning.

Scientific research is nothing but pursuit of absolute Truth (and upholding the Truth), which also includes getting closer and closer to the Truth by eliminating imperfections in our BoK (Body of Knowledge). The community of researchers and scientists are morally and ethically obligated to uphold the Truths, by investigating the evidence to determine the validity of the discovery or theory.

What would have happened, if everyone ignored or snubbed seminal theories or discoveries of a young 25-year-old low level clerk (named Einstein) at a patent office in Bern? Research community successfully suppressed disruptive discovery of Copernicus for hundred years, which eventually prevailed due to great sacrifices of researchers like Giordano Bruno and Galileo, which resulted in a scientific revolution.

Mankind would be still in the dark ages without their sacrifices to uphold the Truth. Disruptive or outside of box discoveries expose inconvenient Truths/facts, so face fierce resistance and hostilities.

Almost every disruptive or revolutionary discovery faces fierce resistance and opposition. If any scientist disagrees with a theory and proof backed by evidence, scientific process requires channeling the fierce resistance and opposition for falsifying the evidence and facts for invalidating proof. Only incompetent or ignorant people resort to personal insults. Any determined efforts to falsify proof for any discovery end up proving the discovery, if the discovery is Truth/fact. But it is unethical to suppress or snub the discovery to evade such mandatory moral obligation of investigating evidence by resorting to personal attacks or insults.

What would you do, if you stumbled onto a revolutionary discovery, and if no one in the scientific or research community is willing to investigate the evidence and facts, which can provide conclusive proof for the discovery by employing unethical evasive tactics such as personal attacks or humiliating snubs to suppressing facts?

What can you do, if research community ostracizes you (e.g. by resorting to personal attacks, humiliation and snubbing), when you politely request for an opportunity to present evidence that can provide conclusive proof for your theory or discovery?

Assume, you spent more than 12 years making sure that you are absolutely right by accumulating many proofs, where each proof is backed by more than enough evidence. If you are not very wealthy and powerful, you would be helpless (e.g. can do nothing), if research community refuses to look at your evidence that can prove your discovery.

What can you do, if you don’t have large financial resources to force the research community to investigate your evidence, for example, by dragging them to courts for abdicating their moral and ethical obligations (e.g. upholding the Truth) or for gross negligence, in case if researchers are being funded by taxpayer money and having mandatory obligation to find and promote such discoveries?

It is a laudable example that few great researchers took time to investigate disruptive discovery by a low-level young patent clerk. But in case of Galileo and others, research community blatantly abdicated their moral obligation and failed the mandate of scientific method or process for upholding the Truth. Most people claim to be a scientist doesn’t even know what is meant by being a scientist and what are the moral or ethical obligations and mandate of scientific method.

How can we advance mankind’s scientific knowledge into new unexplored frontiers, if research or scientific community abdicates their sacred duty – Pursuit of absolute Truth, flawless knowledge and wisdom? One must stop pretending to be a scientist, if he is not willing to fulfill moral or ethical obligations and mandate of scientific methods for pursuit flawless knowledge and/or upholding of the Truth.

Best Regards,

Raju Chiluvuri

I have found a beautiful technique to solve math problems such as:

The technique uses the notions of regular languages. The complexity class that contains all the regular languages is REG. Moreover, these mathematical proofs are based on if some unary language belongs to NSPACE(S(log n)), then the binary version of that language belongs to NSPACE(S(n)) and vice versa. The complexity class NSPACE(f(n)) is the set of decision problems that can be solved by a nondeterministic Turing machine M, using space f(n), where n is the length of the input.

We prove there are non-regular languages that define mathematical problems. Indeed, if those math problems are not true, then they have a finite or infinite number of counterexamples (the complement languages contain the counterexample elements). However, we know every finite language is regular. Therefore, those languages are true or they have an infinite number of counterexamples, because if they have a finite number of counterexamples, then the complement language should be in REG, that is, this complement must be a regular language. Indeed, we show some mathematical problems cannot have a finite number of counterexamples using the complexity result, that is, we demonstrate their complement languages cannot be regular. In this way, we prove these problems should be true or they have an infinite number of counterexamples as the remaining only option.

See more in my notions:

https://www.notion.so/ce1d7a1822844af7bc6df4e92cb3aca6?v=615f234f5cdd4da1b62ccb0c73ab34ad

I have to find out what software and operating systems are used in education. More into lower education than in high and in different countries (USA, Australia, Great Britain, Germany, France, Scandinavia, Romania, Hungary, the Czech Republic, and other mostly European countries). Do you have some idea where can I find such statistical data?

Hi Everyone. Please suggest me the SCI journals list which don't contains article processing charges.

Any decision-making problem when precisely formulated within the framework of mathematics is posed as an optimization problem. There are so many ways, in fact, I think infinitely many ways one can partition the set of all possible optimization problems into classes of problems.

1. I often hear people label meta-heuristic and heuristic algorithms as general algorithms (I understand what they mean) but I'm thinking about some things, can we apply these algorithms to any arbitrary optimization problems from any class or more precisely can we adjust/re-model any optimization problem in a way that permits us to attack those problems by the algorithms in question?

2. Then I thought well if we assumed that the answer to 1 is yes then by extending the argument I think also we can re-formulate any given problem to be attacked by any algorithm we desire (of-course with a cost) then it is just a useless tautology.

I'm looking foe different insights :)

Thanks.

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.

We want to have 5'000 to 10,000 words from several technical languages judged according to emotional criteria (valence, arousal, imaginability). Computer science often uses a few raters (2-5). In other disciplines ten or more raters are used (e.g. psychology, linguistics).

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

We want to have 10,000 sentences judged according to emotional criteria (valence, arousal, etc.). Computer science often uses a few raters (2-5). In other disciplines ten or more raters are used (e.g. psychology, linguistics).

The sentences originate from several technical languages. In addition to teaching materials, they include general discussions during the study of these disciplines. The sentences usually range from medium difficulty to purely technical language.

...

I am graduate from other major, and now working in computer science and technology, my roomates are mostly researching on image recognition. I want to switch to it and learn how to cooperate with them. But I am still out of way.

Please help me how to gain the access to image recognition. I am skilled at nature inspired algorithms now. I have read some papers on image segmation but I don't know what to do. If you are skilled, could you show me a way?

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

In an online website, some users may create multiple fake users to promote (like/comment) on their own comments/posts. For example, in Instagram to make their comment be seen at the top of the list of comments.

This action is called Sockpuppetry. https://en.wikipedia.org/wiki/Sockpuppet_(Internet)

What are some general algorithms in unsupervised learning to detect these users/behaviors?

recently i prepared a research work for publication in IJCSSE. The site has been shut for weeks now. I feel the journal could be predatory .

I understand vaguely that the first author is supposed to be the one who "did the most work", but what counts as "work" in this comparison? Does "most" mean "more than all the other coauthors together" or just "more than any other coauthor"? What happens when the comparison is unclear? How often is "did the most work" the actual truth, versus a cover story for a more complex political decision?

I realize that the precise answer is different for every paper. I'm looking for general guidelines for how an outsider (like me) should interpret first authorship in your field. Pointers to guidelines from journals or professional societies would be especially helpful.

If somebody wants to mathematically model data, information, and knowledge. Data represents a raw material for processing service delivery solutions to produce information. Knowledge acquired by handling such information by experts in a special field such as computer science, psychology, mathematics, and statistics. How can mathematical models be developed to describe knowledge acquired by individual, population, or community?

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!

In which scientific studies you run or plan to run would be artificial intelligence helpful?

Please reply

Best wishes

Hi, as part of my bachelor thesis on the design of programming languages for teaching mathematics in the 21^st century, I have planned to discuss the evolution of (the) major programing languages which focus on the idea that computer programming could play an integral role in STEM education.

In order to analyze different programming languages as a framework for teaching (primarily) mathematical concepts, I am currently searching for (citable) research projects providing insights into the historical development of educational programming languages. – Are you familiar with any research on the evolution of educational programming languages?

Many thanks in advance for your contributions,

Tobias

Hello everyone, could some people suggest a good syllabus for graph theory and discrete mathematics for Computer science - Network department, please.

Thank you in advance.

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?

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

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 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.

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

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.

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

Big data and machine learning, can both be implemented?

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,

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?