Computer Science - Science topic

One great resource for learning about cybersecurity is the Cisco Networking Academy. They offer a free, self-paced course called "Introduction to Cybersecurity" that will teach you the basics of cybersecurity. You can find the course at this link: https://skillsforall.com/course/introduction-to-cybersecurity

Once you've completed the introductory course, you can continue your education with Cisco's other cybersecurity courses. They offer a variety of courses at different levels, so you can find one that's right for your skill level.

ICOAI allows academia to meet industry from the international community to exchange experiences, demonstrate their studies and further advance AI technologies.

To the surprise of many, there is existing so-called emergent computation. There are published on RG several Python softwares--GoL-N24, r-GoL, and GoL, on my research profile that demonstrate the following properties: (i) emergent information processing, which arises through self-organization, (ii) error-resilient properties of some special cases of emergents, (iii) automatic creation of multi-level emergent systems.

This research is capable to reproduce into a certain extent by-the-life- utilized computing and information processing.

See some of many shared animations in my RG data section, software section, and discussion dealing with animations of complex systems, which are available here. The last paper from 2022 and the next one are dealing exactly with those issues. I recommend reading the review "Complexity in medicine ...", which serves as the introduction.

Just one animation to curb your appetite, it is in APNG format which is after its downloading easy to view in any modern web browser as a file (write at the window instead of web page '//' and chose the option to see files).

It's released. You can download from this link https://www.researchgate.net/post/Impact_factor_2023_complete_list

If you look for fees in Elsevier, IEEE or Springer, you can find an Excel with the fees and journals. Their names can help you and they have usually basic specs.

Mr Duodu, thank you.

Also, mr Amin, can I kindly ask you not to leave URL and ypur email after every comment of yours, its not professional, really.

Anyone can evaluate it.English is not my native language, so I hope there is no ambiguity.

The increasing prominence of computer science in various industries, including engineering, is due to its role in automation, data analysis, and efficiency enhancement. However, core engineering subjects such as electrical, electronics, chemical, mechanical, and civil engineering remain crucial. Computer science complements and enhances these disciplines rather than replacing them. Interdisciplinary collaboration, automation and control, simulation and modeling, hardware design, and domain-specific challenges are some areas where core engineering subjects retain their importance. The integration of computer science and engineering leads to advancements and innovations that benefit society. Recognizing the value of both fields and fostering interdisciplinary collaboration is essential for future progress.

I have made a living as a consultant for years using these techniques from TRIZ. (I independently invented Service Oriented Architecture [SOA] and Model Driven Design [MDD] to make practical the results generated.) Unfortunately, the major sticking point is "functional normalization", in other words identifying when a functional entity is performing the same function and/or quantifying how much similarity exists so a decision can be made on the best implementation to be used redundantly.

Dear Onengiyeofori Fenibo,

Choosing the best computer science project topic is critical to the success of any computer science student or employee. After all, the more engaging and interesting topic, the more likely it is that students or employees will be able to stay motivated and focused throughout the duration of the project. However, with so many options out there, it can be tough to decide which one is right for you.

To help you get started, we have compiled a list of best computer science project topics for students and employees. From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. And while thinking about computer science project topics, if you find it difficult to keep up with the latest trends, go for the best online course for Web Development. This is because the coursework is updated frequently, and there are always new things to learn.

In the field of academics, we need to get rid of obsolete ideas and focus on new innovative topics which are fast spreading their arms among the vast global audience. Computer Science students both in bachelors and in masters are studying the same topics and subjects from the past few years. Students don’t even have knowledge about new masters research topics. For project and thesis work also they are relying on outdated topics. Projects like school management system, library management system etc. are now out of date. Students should shift their focus to latest technologies which are highly in demand these days and future depend upon these. Here is the list of latest topics in Computer Science that you can choose and work for your project work or thesis and research:

List of few latest thesis topics in computer science is below:

Data Warehousing is the process of analyzing data for business purposes. Data warehouse store integrated data from multiple sources at a single place which can later be retrieved for making reports. The data warehouse in simple terms is a type of database different and kept isolated from organization’s run-time database. The data in the warehouse is historical data which is helpful in understanding business goals and make decisions for future prospects. It is a relatively new concept and have high growth in future. Data Warehouse provides Online Analytical Processing(OLAP) tools for the systematic and effective study of data in a multidimensional view. Data Warehouse finds its application in the following areas:

So start working on it if you have knowledge of database and data modeling.

Internet of Things(IoT) is a concept of interconnection of various devices, a vehicle to the internet. IOT make use of actuators and sensors for transferring data to and from the devices. This technology is developed for better efficiency and accuracy apart from minimizing human interaction with the devices. The example for this is home heating in some countries when the temperature drops done through motion sensors which automatically detect the weather conditions. Another example for this is the traffic lights which changes its colors depending upon the traffic. Following are the application areas of Internet of Things(IoT):

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN IOT:-

Many people are not aware of this concept so you can choose for your project work and learn something new.

Big Data is a term to denote the large volume of data which is complex to handle. The data may be structured or unstructured. Structured data is an organized data while unstructured data is an unorganized data. Big data can be examined for the intuition that can give way to better decisions and schematic business moves. The definition of big data is termed in terms of three Vs. These vs are:

Application areas:

Thus you can prepare your project report or thesis report on this.

Cloud Computing is a comparatively new technology. It is an internet-based service that creates a shared pool of resources for consumers. There are three service models of cloud computing namely:

Characteristics of cloud computing are:

The common examples of cloud computing include icloud from Apple, Google-based Services like Google Drive and many more. The field is very demanding and is growing day by day. You can focus on it if you have interest in innovation.

Semantic Web is also referred to as Web 3.0 and is the next big thing in the field of communication. It is standardized by World Wide Web Consortium(W3C) to promote common data formats and exchange protocols over the web. It is machine-readable information based and is built on XML technology. It is an extension to Web 2.0. In the semantic web, the information is well defined to enable better cooperation between the computers and the people. In the semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies.

It can be a good topic for your thesis or project.

MANET stands for mobile ad hoc network. It is an infrastructure-less network with mobile devices connected wirelessly and is self-configuring. It can change locations independently and can link to other devices through a wireless connection. Following are the various types of MANETS:

You can use various simulation tools to study the functionality and working of MANET like OPNET, NS2, NETSIM, NS3 etc.

In MANET there is no need of central hub to receive and send messages. Instead, the nodes directly send packets to each other.

MANET finds its applications in the following areas:

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN MANET :-

Just go for it if you have interest in the field of networking and make a project on it.

It is also a relatively new concept in the field of computer science and is a technique of guiding computers to act in a certain way without programming. It makes use of certain complex algorithms to receive an input and predict an output for the same. There are three types of learning;

Machine Learning is closely related to statistics. If you are good at statistics then you should opt this topic.

Data Mining

Data Mining is the process of identifying and establishing a relationship between large datasets for finding a solution to a problem through analysis of data. There are various tools and techniques in Data Mining which gives enterprises and organizations the ability to predict futuristic trends. Data Mining finds its application in various areas of research, statistics, genetics, and marketing. Following are the main techniques used in the process of Data Mining:

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN DATA MINING :-

Artificial Intelligence

Artificial Intelligence is the intelligence shown by machines and it deals with the study and creation of intelligent systems that can think and act like human beings. In Artificial Intelligence, intelligent agents are studied that can perceive its environment and take actions according to its surrounding environment.

Following are the main goals of Artificial Intelligence:

Following are the main applications of Artificial Intelligence:

Strong AI – It is a type of artificial intelligence system with human thinking capabilities and can find a solution to an unfamiliar task.

Weak AI – It is a type of artificial intelligence system specifically designed for a particular task. Apple’s Siri is an example of Weak AI.

Turing Test is used to check whether a system is intelligent or not. Machine Learning is a part of Artificial Intelligence. Following are the types of agents in Artificial Intelligence systems:

Natural Language Processing – It is a method to communicate with the intelligent systems using human language. It is required to make intelligent systems work according to your instructions. There are two processes under Natural Language Processing – Natural Language Understanding, Natural Language Generation.

Natural Language Understanding involves creating useful representations from the natural language. Natural Language Generation involves steps like Lexical Analysis, Syntactic Analysis, Semantic Analysis, Integration and Pragmatic Analysis to generate meaningful information.

Image Processing is another field in Computer Science and a popular topic for a thesis in Computer Science. There are two types of image processing – Analog and Digital Image Processing. Digital Image Processing is the process of performing operations on digital images using computer-based algorithms to alter its features for enhancement or for other effects. Through Image Processing, essential information can be extracted from digital images. It is an important area of research in computer science. The techniques involved in image processing include transformation, classification, pattern recognition, filtering, image restoration and various other processes and techniques.

Following are the main purposes of image processing:

Following are the main applications of Image Processing:

Bioinformatics

Bioinformatics is a field that uses various computational methods and software tools to analyze the biological data. In simple words, bioinformatics is the field that uses computer programming for biological studies. It is the current topic of research in computer science and is also a good topic of choice for the thesis. This field is a combination of computer science, biology, statistics, and mathematics. It uses image and signal processing techniques to extract useful information from a large amount of data. Following are the main applications of bioinformatics:

Quantum Computing

Quantum Computing is a computing technique in which computers known as quantum computers use the laws of quantum mechanics for processing information. Quantum Computers are different from digital electronic computers in the sense that these computers use quantum bits known as qubits for processing. A lot of experiments are being conducted to build a powerful quantum computer. Once developed, these computers will be able to solve complex computational problems which cannot be solved by classical computers. Quantum is the current and the latest topic for research and thesis in computer science.

Quantum Computers work on quantum algorithms like Simon’s algorithm to solve problems. Quantum Computing finds its application in the following areas:

The list is incomplete as there are a number of topics to choose from. But these are the trending fields these days. Whether you have any presentation, thesis project or a seminar you can choose any topic from these and prepare a good report.

Hope that one gives you a close feel.

Wasswa Shafik

Further to my above answer, I would like elaborate to use DecisionMentor mobile app

Decision Problem: Appropriate EMBA Thesis Topic for me

1. Appropriate Decision Analysis framework (Integrated with Accounts & Finance, in addition to Technical, Market and HR) - Looking into variety of Multiple Criteria Decision Analysis Tools / Theories available

2. A Case of Digital Transformation: In an existing Business (you may take a case from your own company)

3. Future of Accounts and Finance Professionals with Emerging AI Tools

(or if you have any of your topic of your passion, consider those)

Criteria (Factors) to consider while choosing:

1. My interest

2. Useful in business

3. Knowledge enhancement

4. Skill Enhancement

5. Demand in Market/Business

Now, it would be easy for you to use DecisionMentor mobile app available at:

The DecisionMentor mobile app will help you to compare your criteria to generate criteria weight, then you can compare each options with the Criteria.

This process will give insight to your decision problem, Decision will be Yours, which ever topic option comes at top in ranking.

Best wishes,

Big thanks to both of you Anne-Katharina Weilenmann and Alexander Schniedermann . Will look into these options shortly ^^

Dear Scholar,

I appreciate your interest. I have already volunteered for three research projects and authored three, excluding the analytical research that I am working on now. Among the mentioned, I conducted Literature Review through an LRM a few times. I am a Freshman in Computer Science. I was wondering about joining the initiation.

Dear, it's not possible to do master in computer science after mechanical graduate.

But heay try to robotics, automobile and other computer related course which is the available in Mechanical Engineering domain.

Dear Nameer Hashim Qasim ,

Artificial intelligence design is the new hype. To fully automate their processes, many IT companies are moving toward artificial intelligence today. They do this because they are aware that technologies that can significantly reduce the amount of work required of humans will rule the future.

Regards,

Shafagat

Imagine a primitive man who sees a robot and who wants to figure out what the robot is thinking. This is psychoanalysis, and "what the robot is thinking" is supported by artificial intelligence

Dear Neelesh Mungoli ,

Without a name, it is difficult for people to rally around a cause, so we created the term Research Software Engineer. We are now working to raise awareness of the role and bring the community together.

Regards,

Shafagat

Please read my book

The American University Laboratories For Electrical Engineering Part 1

You can find a computer section.

Use something you find interesting.

Thank you

Ziad

It's great to see that you are considering various research topics related to full stack development. The areas you've mentioned are indeed relevant and hold potential for research. Let me provide a brief overview and some suggestions to help you narrow down the topics:

* Comparison of different full stack frameworks: Studying the features, performance, and trade-offs of various full stack frameworks can be insightful. Instead of a generic comparison, you could focus on specific aspects or challenges, such as the ease of scalability, adaptability to emerging technologies, or how well these frameworks support serverless architectures.

* Progressive web applications (PWAs): PWAs are an exciting area of research as they bring the best of both web and mobile applications. You could study the factors that influence the adoption of PWAs, explore novel approaches to optimize performance and user experience, or investigate the challenges faced in integrating PWAs with emerging technologies like augmented reality or the Internet of Things.

* Security in Full stack applications: Security is always a critical concern in any development process. Research in this area could focus on identifying and addressing common security vulnerabilities in full stack applications, developing new techniques to ensure data privacy and protection, or examining best practices for secure authentication and authorization.

To narrow down your topic, consider reflecting on your personal interests, the relevance of the topic to the industry, and the potential impact of your research. Choose a topic that you find engaging and that can contribute to the field of full stack development.

Great to hear that you are pursuing a PhD in Computer Science and looking for a research topic . Research topics that can make an impact and solve a business problem include predictive analytics for e-commerce, anomaly detection in sensor data, fraud detection in e-commerce transactions, personalized products, optimizing supply chain, and optimizing logistics. These are just a few examples to consider, and you can explore and refine these topics based on your specific interests and goals. Make sure to consult with your advisor and industry experts to ensure that your research is impactful and relevant to the business problem you are trying to solve. Good luck!

For me some basic knowledge of formal systems is essential for undergraduate CS students, as this is a necessary part of the scientific education.

If not, you might still learn a lot about software construction, but you wouldn't know nor understand its bedrock.

Origin is better for Pro

Yes, here are some potential research topics on smart cities that you could explore:

Eduard Babulak Yes, the usage of quantum computing is predicted to help enhance artificial intelligence, humanoid robots, automation, and geographic research. Quantum computing ideas can be used to these domains to possibly increase the performance and efficiency of different systems. However, it is vital to highlight that quantum computing is still in its infancy, and more study is required to fully realize its promise in these disciplines.

You can find some details about OpenAI, including chat gpt, on the OpenAI website: https://platform.openai.com/docs/introduction/key-concepts.

Additionally, research papers about GPT and its variants can be found in academic databases.

Seems like the survey form already expired. And....A rather sad example of user interfaces in itself. However, if you're trying to learn more about user interfaces I strongly recommend looking outside of the Computer Science field.

Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

I recommend checking our Perspective paper at :

Thank you but its outdated.

Chaos theory and artificial intelligence are directly connected...

Formal models of such a connection are given in the book (the concepts of "Creative Stirring / Mixing Layer" and Inductor Space, i.e. the emergence of generalized (mental) entanglement)

More details here

Practical applications of chaos theory and artificial intelligence

Good luck to you,

Yurii

One way is to use the publication recommender offered by different publishers. You can search using the title and abstract to get a list of suitable journals. However, as you have already a written article and that too a review paper, you can figure out directly with your references. Digtial twins have applications in many areas, and therfore it depends which area you are working on. One excellent journal is IEEE Transactions on Industrial Informatics.

They are alternative contacts to certain pins for testing. The idea is to avoid signal interference with high speed processors.

Dear,

Today , we have a lot of topics: The capital topics for research in IT can be listed below: Quantum Computing, artificial Intelligence. These topics will be good for the future. If you are planning to become a staple in IT, you should take a look also in Cybersecurity,computational science,complex systems,cloud computing & virtualization,Biometrics and Conformance testing.

Hello Aymane Ezzaim,

According to three trusted websites, I am afraid to inform you that journal is not found in known academic journal databases, see below:

JCR profile (with impact factor) was not found in the list of journals

Not found in Master Journal List indexed journals

Not found in Scopus indexed journal list

Not found in DOAJ indexed open access journal list

Going forward, its better in my opinion to get a journal from well established publishers like IEEE, IGI, Plos One, Hindawi, etc.... once you get it, check it before making any submissions.

I think links below might be of help,

MS Windows OS

Dear Adnan Nazir ,

Software Engineering is a branch that deals with the development and evolution of software products by employing certain methodologies and well-defined scientific principles. For developing a software product certain processes need to be followed and outcome of which is an efficient and authentic software product. The software is a group of executable program code with associated libraries. Software designed to satisfy a specific need is known as Software Product. It is a very good topic for master’s thesis, project, and research. There are various topics in Software Engineering which will be helpful for M.Tech and other masters students write their software project thesis.

Regards,

Shafagat

please check the Domain(area) Cloud computing & Data Mining easiest way of domain..

If you have access to Journal Citation Reports (JCR), it has feature named "manuscript matcher" which may be useful, but you can also look through the Dentistry, Oral Surgery & Medicine category in JCR.

Dear Mubashir Iqbal,

During the SARS-CoV-2 (Covid-19) coronavirus pandemic, the scale of cybercriminal and hacking activities on the Internet increased. Therefore, I propose the following research topic for a thesis written in the field of computer networks: Improving security, procedures and techniques to protect sensitive information residing in internal and external computer networks connected to the Internet. Within the framework of this topic, the dominant trends of the said process of improving the cyber security of sensitive information in recent years through the application of new technologies typical of the current fourth technological revolution and technologies categorised as Industry 4.0 (such as artificial intelligence, machine learning, Blockchain, Big Data Analytics, etc.) can be examined.

Best regards,

Dariusz Prokopowicz

It is just coincidental

Hi

Check these papers as they might give you research direction

A group of mid-career environmental social scientists, facing pandemic and career burnout, whimsically agreed to collectively decline 100 work-related requests. The goal: to learn to say no. After a year tracking and reflecting on their decisions, they share their insights into how to align finite energy with seemingly infinite possibilities...

Early in our careers, saying yes helped us to make connections and explore promising research directions. But as opportunities multiplied in our mid-careers, we needed a mindset shift, from gathering to pruning. So we need to develop clear criteria to help us choose what to pursue...

Dear Prof. Meriyem!

I did search for YOU resources you might well consider as value-added for your work:

1) Mouza, C., Mead, H., Alkhateeb, B. et al. A Virtual Professional Development Program for Computer Science Education During COVID-19. TechTrends 66, 436–449 (2022). https://doi.org/10.1007/s11528-022-00731-y, Free access:

2) Chrystalla Mouza, Diane Codding, Lori Pollock, Investigating the impact of research-based professional development on teacher learning and classroom practice: Findings from computer science education, Computers & Education,

Volume 186, 2022, Available at:

3) Garcia, I., Pacheco, C., León, A., and Calvo-Manzano, J. A., Cadxela: An educational tool for supporting the global software engineering education at undergraduate level, Comput. Appl. Eng. Educ. 2022; 30: 708– 729. https://doi.org/10.1002/cae.22482, Available at:

4) Yildiz Durak, H., Flipped classroom model applications in computing courses: Peer assisted groups, collaborative group and individual learning, Comput. Appl. Eng. Educ. 2022; 30: 803– 820. https://doi.org/10.1002/cae.22487, Available at:

Yours sincerely, Bulcsu Szekely

oK Basically you can work on the any data sets .Look for the data sets related to healthcare (Disease, patients data) or any other type of data associated with the health care.

you can go for the humanities subject like economics, geograply, marketing etc. search for their data available in the public domains .

you can explore the areas of science like biotechnology, physics and computer science. (Devlop new aspect of algorithms prespective)

Explore the areas realted to the pharmacuits sciences like drug design synthesis or every drugs. data is available on the public domain .

you can work on to explore the general trends in data like populaiton explosion , or education status of women etc.

but first of all its importnat to get one hypothesis and a crisp objective for your desertation. once you done things . NEXT comes the implementaition part. that you can do .

Concern with your respective supervisor ask him/her or give him/her some option to explore, or your areas of interest.

Thanks.

The issue of cloud database security

It is more than amazing . Go on . Please send me your survey to comment on more .

Dear Vivek,

Your observation is apt. Due to the popularity of CSE branch from utility and employability perspective, it is drawing better students vis-a-vis other branches. This trend is well known to recruiters, as well. This has resulted in positive feedback like scenario. However, this trend may weaken with the passage of time as CSE splits into more and more finer specialization.

I suggest the following online translators and App:

Hello Sahil Dalal

It looks complicated, like Rob Keller says and I thought it would be easy when I found their website and the IF! My overall answer is yes but with the modified definitions as mentioned.

The following is a list of some more datasets which might be helpful for your work.

Dataset #1

MonkeyPox2022Tweets: The First Public Twitter Dataset on the 2022 MonkeyPox Outbreak - The dataset consists of a total of 255,363 Tweet IDs of the same number of tweets about monkeypox that were posted on Twitter from 7th May 2022 (date when the first case of this outbreak was detected) to 23rd July 2022. Link to the dataset - https://doi.org/10.5281/zenodo.6898178

Dataset #2

Twitter Conversations about the COVID-19 Omicron Variant - It presents a total of 522,886 Tweet IDs of the same number of tweets about the SARS-CoV-2 Omicron Variant posted on Twitter since the first detected case of this variant on November 24, 2021. Link to the dataset - https://doi.org/10.5281/zenodo.6893676

Dataset #3

Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave - The dataset comprises a total of 52,984 Tweet IDs of the same number of tweets about online learning posted since the first detected case of the Omicron variant. Link to the dataset - https://doi.org/10.5281/zenodo.6837118

Please Suggest any Scopus indexed Journals for Fast track publication ( in 2 Months) for Early Childhood Education.

Hi G K Mohan Devarakonda you can try Cousersa, I was able to do it through scholarships, they give financial aid for those who can't afford it. Go to the Coursera website, select the course you are interested in and see if there is a financial aid option, if so you can apply. The result comes out in 20 days. I hope you get it! Good luck.

Thank you Kevin Agina Onyango for the interesting question and all professors for the valuable answers.

In this case, I suggest comparing the available quantitative results like %age accuracy, efficiency or other performance indicators with your solution's performance. This can be in the form of a table. The quantitative details are available in that particular technique's foundational research paper.

Computational and Structural Biotechnology

Computers and Electronics in Agriculture

Mathematics is like the backbone to Reinforcement Learning. Strong command on topics like Probability and Statistics with a proper understanding of some mathematical models can take you very far ahead in Reinforcement Learning. Some scheduling techniques in wireless packet delivery require deep knowledge of Markov chain, Deep Reinforcement Learning.

May be helpful for your work:

There is no journal with a good impact factor with less review. all good journals take no less than three months for peer review; sometimes, open access can process in one month.

I advise you to check the list in the link and try to find a journal with less than 0.5 SJR. Maybe they can process within two months minimum.

All the best

You can check out some topics below

Also, I believe you can take some python lessons online that can be of great help to you as well

you can think of in covid 19, Lung cancer, Brain tumor detection using different deep Learning Techniques and possible to use also ML Algorithms.

Hi,

Kindly refer this link:

Best wishes..

sent via google form

Something cc commons license (I guess a dream), easy to use for any teacher at any level, and in any operating system, based on threads like this and paint screenshots :)) Prof. Rupali Mishra

It will help with elearning for students & mentors from very disadvantaged countries.

And finally with the Open UK learning & teaching philosophy.

Best Regards.

yes

Most of the paid journals are considered predatory journals. They ask for publication charges after the paper has been accepted.

Below are some reputed ESCI computer science journals:

JOURNAL OF BIG DATA

MULTIMODAL TECHNOLOGIES AND INTERACTION

Get the complete list: https://phdtalks.org/2022/04/esci-computer-science-journals.html

Editor-in-Chief, i.e. professor Nasser-Eddine Rikli is present here at R^G portal:

Can you say more about what you mean by qualitative analysis?

A list of open problrems for hpmotopy type theory is presented in HISTORIC.

International Journal of Advanced Computer Science and Applications (IJACSA)