1. Introduction

This paper is an extension of work originally presented in IEEE PICS&T 2018 [1].

The purpose of this article is to consider the possibility of creating a website that will combine higher education institutions with the goal of easier navigation in higher education.

The original article examined why the decision to use the Unreal Engine 4 (https://www.unrealengine.com/en-US/) game engine is relevant to create a platform. Thanks to blueprint technology, which is a system of nodes with built-in code scripts, you can easily perform many tasks without knowing the syntax of a programming language, in this case C++. Saving time for studying the syntax and focusing forces on the program logic, it becomes possible to devote more time directly to the program itself, which positively affects the quality.

Also in the original article, the creation of a workflow for filling the platform with materials was considered: what components are needed to create a working system, what programs and their bounds were proposed for compiling the content of the proposed lessons, a conceptual example used at the Odessa National Polytechnic University was considered. All this was done in order to describe one of the possible options for creating such a platform/hub, where students could find the materials they need and navigate the relevance of knowledge that the university has been presenting during the studying.

This article focuses on the consideration of the previously described problem, its expansion and argumentation. An approach was taken to collect information from third-party sources and combine them to provide more specific structured information to applicants through the website. The process of the platform creation was partially considered [1,2].

At the moment, students are often not aware of what universities are like. According to the experience of the authors who live in Ukraine, at the start of student enrollment, different universities arrange open house days when you can go in and look at the place where the applicant thinks to continue his studies. According to this event, the student receives a plot of information about who he will study with, who will teach him and what he will be able to achieve. Often, since in Ukrainian universities a shortage of students in certain specialties is a frequent occurrence, it is customary to embellish a university story and indicate only the advantages of the specialty and/or specialization, without informing applicants about possible shortcomings. The disadvantages can be in different areas: poor teaching staff, the relevance of the teaching materials presented, poor learning conditions and more.

There is also the problem of choice, which should solve the confines between graduation and the beginning of a university.

The problems that prevent students from choosing their future profession will be considered below.

2. Main Problem

There are a number of problems that do not allow obtaining the necessary knowledge for a person. It is also necessary to indicate that these problems are considered in several areas: preparation of the applicant for admission to the university and student gaining knowledge in the university environment. According to the authors, there are two most common problems:

• The problem of awareness.
• The problem of the existing education system.

2.1.  Awareness problem

The authors’ experience is based on a model of the Bologna system, as well as on the basis of statistics from some universities in the Russian Federation. The moment of transition from school to a higher educational institution often raises many questions, since this stage is constantly updated and supplemented by various acts. All these updates are briefly explained, but the busyness of schoolchildren with the upcoming exams does not make it possible to immerse themselves in the question completely.

The exam procedure itself is relatively simple, but preparing for them can entail enormous costs in time, which limits students in reflecting on who they want to become in the future. Short time for studying the material and pressure from the family and the teaching staff leads to procrastination among schoolchildren, which affects their general level of anxiety, productivity and academic performance [3]. Such employment and a psychologically difficult situation do not allow the student to adequately assess their strengths and weaknesses, which would allow to come to the correct decision regarding the choice of specialty and specialization.

According to the considered statistics, only 11% of schoolchildren in grades 8-9 are determined with the place of forthcoming education. 54.1% is determined only by the end of grade 11. 5.2% of students initially knew where they would go. 19.7% are determined either immediately before admission, or do not do it at all. The choice is complicated by a large number of criteria and a variety of conditions, thanks to through which the choice of university is made: parents’ advice, teachers’ advice, print university advertising, television and radio advertising, open day at the university, conversations with university students, speeches, meetings, conversations with teachers, job fairs, university rankings in the media and more [4]. Due to the fact that applicants cannot decide on the choice of a profession at school, they are trying to find the specialty that is relevant and necessary at the time of selection — the trend.

Often, professions are selected on the basis of superficial knowledge about this type of activity. Each specialty has its own requirements for a person in different fields: level of knowledge, stress tolerance, responsibility, level of emotional intelligence, sociability, teamwork and other human qualities. This can be called a characteristic of a single profession, which for the most part should be observed in candidates. Many people make an unconscious choice of their future profession, since the characteristic is a huge amount of details and, often, the only way to understand whether you can relate to this specialty is an internship, which can be completed with an average level of knowledge in the specialty, which suggests studying in this area. Therefore, those 54.1%, as well as 19.7% of schoolchildren who make decisions at the last moment, cannot have a complete picture of what they need to study in order to become a specialist in a certain kind of activity, since this requires a lot of amount of time. This leads to poor-quality training of students due to the lack of their motivation to study further. And this, in turn, to work not in the specialty and lack of qualifications in another kind of activity.

2.2.  Education system problem

Countries should try to develop in the field of education as fast as countries with similar capabilities do [5]. The main problem in the development of distance learning is an incorrect education system. According to statistics from the American Federation’s National Policy Summit for Children, online schools in their early days did not achieve proper exams due to funding for a non-working education system. From the very beginning, virtual schools were suitable only for some disciplines [6], but with the advent of new mechanics it became stronger in others, which gradually leads to the popularity of this approach for learning.

In the CIS countries, this situation lies in the lag of the teaching methodology, which is manifested in the students’ lack of interest, since the training system is not clear and complex, which leads to a lack of understanding of the need for a particular discipline and/or specialty as a whole. This is due to the formalism of the materials presented. It is expressed in a mechanical, passive, insufficiently meaningful assimilation by students of teaching material, in memorizing verbal formulas by them, devoid of specific content, in the inability to connect the knowledge gained with life [7]. This educational system was used in the USSR and developed to the maximum possible to meet the requirements of the ruling party. Subsequently, the education system was not changed and only updated the knowledge provided, which led to the depletion of the system and its inability to improve further, namely, to include modern technologies as part of the learning process, such as AR/VR/MR and so on [8].

3. Information About Distance Learning

At the moment, distance learning is becoming more and more popular in the world, which helps many students to gain knowledge without being in an educational institution. Distance learning is gradually becoming the standard throughout the world. This can be seen by the number of queries in popular search engines. For example, according to the data from the multi-functional SEO platform Serpstat, on google.com the query “distance learning” is entered into the search line 133900 times a month (on average for 2019), and the phrase “online school” is 255300 times under the same conditions. Now the term “online school” is becoming popular, which consists in distance learning through various communication platforms and video conferencing of the teacher. Special business accelerators are being created, which are aimed at helping start-ups and companies related to this type of studying and helping to transform a successful business out of it through templates and promotion schemes.

The largest universities in the world have long possessed this type of education, for example: Boston, Florida and Arizona State Universities, the University of Wisconsin at Madison, as well as the State University of Pennsylvania in the USA. With the help of this system, the University of Florida allowed 400000 students to get education in 135 countries of the world. There are examples in the UK: University of Liverpool, Suffolk University Campus, Ruskin University England, School of Oriental and African Studies, University of Manchester. The latter currently provides knowledge to about 40000 students only through distance learning in 154 countries around the world [5].

3.1.  What is wrong with distance learning organization

Despite such local and international success, it is not possible to refer to the current distance learning – there is no primary source that would immediately tell about many available options from different universities and at the same time give access and description to it.

The above examples are well-known mastodons of science, which in any case will be found by applicants if they wish, because you can hear about them at school age as the most desirable places to study, but applicants absolutely do not know anything about other places, which also may be good for learning. Examples show that distance learning is valid, but it is impossible to confine oneself only to these mastodons – on the contrary, it is necessary to expand knowledge, it is necessary to make it clear that the world of education is much wider and more spacious, and does not close to the top ten most popular universities.

For example, the YouTube website (https://www.youtube.com/) is a great place to store distance learning videos, but it was not originally created for this. You can restrict access to video, as well as collect video playlists, but adding a description to each playlist to make it convenient is impossible due to lack of functionality. And it would be possible to create an analogue of Instant View (hereinafter referred to as the IV) from Telegram (https://telegram.org/) and still store the video on a service from Google, but at the same time pre-set and display it with the necessary data on the website.

The point is that it is necessary to fundamentally change the existing system and introduce a core that can connect all that is different that exists at the moment. Each person should have the opportunity to look at different universities and decide which one will be most suitable for him. This implies the lack of centralization of the final result, in this case, the showcase of distance learning and the university as a whole.

3.2.  Why is this a problem

At this stage, an applicant who has the opportunity to enter any university should find universities on the Internet and check the availability of specialties, specializations, what he will be taught, who he will become in the end, what perspectives the industry has and much more. It takes time to surf on the Internet, which students do not have, as it was described earlier. The problem is that the more responsible the student approaches the question of exams, the more irresponsible he is to his future. It is quite difficult to find a balance, since both questions are complex and difficult to study, so the idea of centralizing information about universities from one point seems quite reasonable.

3.3.  How a solution to this problem affects on progress

When a website appears with an extensive list of universities, it becomes possible to compare their statistics: popular specialties, the relevance of discipline programs, teacher qualifications, etc.

Figure 1: Scheme of each applicant choice and how the solution should be implemented.

Thanks to this website, students can easily compare and contrast universities: see different and general, study programs, with which foreign partners there is cooperation, foreign programs, opportunities for graduation, with which companies the educational institution cooperates. Also, applicants gain the opportunity to see other universities, the existence of which they might not know. Since the website will also have distance learning materials, this allows applicants to review the teaching methodology, compare with other universities and make an informed decision about admission to a particular educational institution.

This implies a great knowledge of the choice of a university, as well as a dry balance of the necessary information without frills, which allows a sober assessment of the proposed educational institution. As a result, students study in more relevant specialties for them at the universities most suitable for this, which is what the research of this article seeks. The overall idea is described on the Figure 1.

4. Solution

The examples of solutions that allow you to learn much more efficiently and faster are shown below, but due to the lack of information about such solutions, few people think about their existence. At the same time, they can provide an incentive to create competitive software, or make additions to existing code, which will improve the UX and functionality of existing programs. This approach is widespread in the IT field and this is evidenced by such communities as GitHub, Stack overflow, the open source Unreal Engine 4, which can be supplemented by various plug-ins and the Blender 3D modeling program, which also has open source code and can be supplemented by functionality that users deem necessary.

All this speaks of the popularity of the approach when people, specialists in their field, are aware of this. That is why it is necessary to show and disseminate new techniques and show them to a wide audience, in which the proposed website concept can help.

4.1.  Solution examples

There are different AR applications and many of them have very different goals. AR technology allows you to reproduce objects that are difficult to read in 3D models, which makes it easier to accept abstract and complex content. This is useful for those who remember visually and who need a translation of the theory into a tangible concept. For example, Polytechnic University of Leiria, in Portugal introduced AR to math classes and students speak of it as a very useful, easy and interesting solution.

Nvidia Holodeck may be an example of VR technology, whose technology allows people from different parts of the planet to work together in virtual space, makes it possible to develop design, assembly lines, technological processes and much more, having their 3D counterparts in a virtual environment [1].

A team from Stanford University created a project called STRIVR. It began as a VR training tool for their university football team. Subsequently, they found out about the project, and it turned into a platform for staff training and works with companies such as Walmart. United Rentals (hereinafter referred to as UR), which is the largest equipment rental company in North America, trains third-party sales representatives (hereinafter referred to as TPSR) using STRIVR technology. Using photos or videos in the classroom does not allow students to gain practical experience, because UR used the STRIVR immersion platform to create the next generation TPSR tutorial that uses VR technology. It includes 5 practical steps in VR, so that training takes place with a sense of presence directly at the workplace, but actually not there. Thus, they achieved an increase in efficiency and reduced training time by 40% [1].

4.2.  Conclusions from the proposed concepts

Above are local, point solutions that allow you to gain an increase in the effectiveness of training using practical experience. This decision is relevant, as the current education system in the CIS has reached its maximum. At the moment, it cannot fully compare the modern requirements of social expectations and real educational results [8], which leads to a lag and less interest of students to study.

Also, these examples are relevant, since AR/VR/MR technologies are considered one of the most promising technologies of the 21st century, and also create new ways of presenting information and studying.

The disadvantage of this system is the lack of cooperation between such solutions, which does not allow to switch from one technology to another within the framework of one application. Having created a common basis that opens up access to any of these solutions, you can think about implementing a technology that will demonstrate different disciplines (where applicable), allowing students to understand what a single discipline is in a particular specialty and what it is manifests itself.

This technology allows to solve the problem of awareness in view of a more affordable solution for students and the opportunity to get some practical experience immediately before studying in this area.

Also, this system involves either a complete change in training programs, or their adaptation to a new approach, which solves the problem of the education system and allows to increase the effectiveness of training, a more relevant choice by students of future specialties and areas in which they will study.

4.3.  Suggestion of solution

It is proposed to create a website. It will serve as the basis for comparing universities, searching for information about educational institutions, study programs in them. It is proposed to minimize the work and use what already exists, namely, materials and approaches.

Telegram messenger has IV technology, which was created specifically to display the content of other websites inside the messenger. When a user shares a website link inside Telegram, a bot instantly fires, which checks for the presence of a template for the website. A template is a set of rules that interprets a website as necessary, removing all unnecessary and leaving a purely necessary context in the form of text, links, tables, images. If such a template is found, the website opens inside the messenger without loading the page – instantly. It is noteworthy that any user can create a template and send it to the messenger developers for verification and subsequent approval. After confirming the suitability of the template, any page of the website will open according to the rules established in the template.

The idea of the proposed website is a similar approach. Instead of re-creating the content, you can duplicate it and interpret it in the right way, managing the content as you need.

This solution allows you not to create your own video hosting services, like YouTube, for storing university video data. Instead, you can simply link to existing pages and present information from the websites of universities and their individual projects, whether it’s distance learning, or international programs, in one light and together in a user-friendly way.

This will allow you to view from one place all those existing lectures and materials, regardless of what they will be: an article, video, or the AR / VR / MR application. In the case of the latter, most likely, it will be necessary to install additional software recommended for their reproduction, but such a question is not included in the scope of this article.

The uniqueness and unification of the website is a guarantee of freedom in the implementation of projects (websites) of other universities. The existence of such a website will not limit the creators of university websites to change anything in the design or development approach.

5. Implementation

As mentioned earlier, the concept is a website that uses a similar IV technology created by Telegram.

The proposed website concept can solve the problems indicated in section 2. Since the concept collects a database of different places for higher education, having the ability to expand and modify the list of institutions and their characteristics according to the method below, the problem of awareness can be overcome with a single condition: the provision of such a basis to applicants in advance and with an explanation.

The system works like an online store with a large number of filters – what interests the applicant has selected: direction, specialty (final profession), country, tuition fees, other filters that will allow you to get a selection of final results. Provides a description of the specialty, possible previews of training materials for better reference. Applicants have a chance to look at a specialty and form an opinion about it, which makes it easier to make a decision.

The final result of solving the problem of awareness remains behind the desire of applicants to understand this issue, but the presented concept will simplify the task for them by collecting everything they need in a single database.

Initially, existing university materials will be presented, both on distance learning and lecture materials from various platforms, for example, YouTube. The website will initially focus on downloading various additional materials from external sources. This is due to the lack of servers and capacities that are required to service such networks. The website will only target educational materials from trusted sources that are either presented at the university, or distance learning materials. This is also the main difference from YouTube, Vimeo (https://vimeo.com/) and other similar services, where in addition to educational content, you can also find entertaining, which can distract the user. Thus, having the opportunity to accept materials from a variety of resources, the website acts as a place where only training materials will be collected.

5.1.  Functionality and purpose of the site

To be able to open articles from a single resource, a template is created that transforms the data into the desired form and provides it in an IV which is a simplified form without such additional aspects as a list with other articles, website menu, advertising, and so on.

The transformation of the page of any resource is carried out in the following 4 steps:

• Determining which parts of a particular resource will be better suited to the conditions for creating the template;
• Parses the basis of the website for the main tags of HTML code to present them in accordance with the requirements of the template. In case an information element is found that does not meet the rules of the template, it is necessary to use the functions provided by Telegram that transform them into a suitable element;
• Remove all unnecessary content and provide a clean IV page for viewing using a dedicated feature;
• Check the template using 5-10 links to other articles of the same resource to make sure that all applied functions work correctly and there is no need to use others to display additional content (for example, replace one HTML tag with another, insert a paragraph tag inside text structures and so on).

According to a case study that was provided by Telegram based on an analysis of an article from medium.com, you can understand and take as a basic principle how the website content is transformed and its new look is compiled.

This approach is quite flexible and scalable. Also, the Telegram code is open and exposed on the GitHub resource, which allows you to use the acquired technologies as needed.

6. Related Work

At the moment, work is underway on the development of application authentication and the functionality of the hub start page, the second component of the proposed solution, which was presented in the original article [1]. To create authentication, a set of libraries is used to implement standard scenarios (hereinafter referred to as the SDK) of GameSparks (https://bit.ly/3besv6D), which allows us to develop user authorization logic in detail. The start page at the moment is a block that contains video, the main control panel and news.

For authentication, blueprint technology was used, which allowed us to create user registration and authentication. Figure 2 shows the blueprint used.

Figure 2: Authentication blueprint.

At this stage, the website has not yet been developed, since the final goal is constantly updated and optimized.

7. Future Work

As the upcoming works, the authors of this article see the development of the hub application, namely the creation of an application for playing their own AR/VR/MR projects and interaction with them. It will be considered creating a user account and saving information about it inside the application, the ability to edit it. Creating basic templates for learning materials, for example: video lecture, video with auxiliary files, AR project, VR project and more, in which all the necessary variables and components that create this template will be explained and recorded. Thanks to it, content of the same type will be able to collect in arrays and automatically load.

Viewing videos from YouTube, Vimeo and similar websites will be implemented, when creating the subsequent pages of the application.

Creation of the website described in this article where the functionality for comparing universities will be created. A bundle of a website and an application for synchronizing databases, since, for example, the GameSparks SDK stores all accounts inside its server.

The application will be created using Unreal Engine 4, which will fully realize the main goal of the article: quick familiarization of applicants with the specialties and professions taught by universities in order to make a more informed and rational choice of further education.

1. V. Tigariev, R. Vinokurov, A. Pavlyshko, I. Sinko, “Informational Training System Mindgate” in 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), IEEE, 2019.
   https://ieeexplore.ieee.org/document/8632104
2.  V. Tigariev, R. Vynokurov, “Creation Of a Learning System Based On The Game Engine Unreal Engine 4 (article in Russian with an abstract in English)” in 2018 ICT 7th International Scientific and Technical Conference, Odessa, Ukraine, 2018.
   http://immm.opu.ua/files/archive/n4_v8_2018/immm_n4_v8_2018.pdf
3. J.R. Ferrari “Self-handicapping by procrastinators: Effects of task importance and performance privacy” in 1990 Doctoral dissertation, Adelphi University, Garden City, NY, USA, 1990.
4. G. Evdonin, S. Mamedova, “Modeling of choosing of university for entrants (article in Russian with an abstract in English)” in 2014 Управленческое консультирование, 2014.
   https://cyberleninka.ru/article/n/modelirovanie-protsessa-vybora-vuza-abiturientom-pri-postuplenii
5. R. Vynokurov, “Расстояние Как Основная Проблема Информационного Обеспечения Образовательных Процессов” in 2019 TIRMIA/TI 5th International Scientific and Practical Conference of students, postgraduates and junior researches, Odessa, Ukraine, 2019.
6. A. Molnar, G. Miron, C. Gulosino, C. Shank, C. Davidson, M. K. Barbour, L. Huerta, S. R. Shafer, J. K. Rice, D. Nitkin, “Virtual Schools in the U.S. 2017” in 2017 Boulder, CO: National Education Policy Center, 2017.
   https://nepc.colorado.edu/publication/virtual-schools-annual-2017
7.  O. Lebedev, “The End of Compulsory Education? (article in Russian with an abstract in English)” in 2016 Вопросы образования, 2016.
   https://cyberleninka.ru/article/n/konets-sistemy-obyazatelnogo-obrazovaniya
8. K. Gusev, “XXIV съезд КПСС и отечественная историография” in 1971 Издательство Академии наук, 1971.
   https://bit.ly/2uCNSxQ

Citations by Dimensions

Citations by PlumX

Google Scholar

Crossref Citations

1. Vikas Thammanna Gowda, Landis Humphrey, Aiden Kadoch, YinBo Chen, Olivia Roberts, "Multi Attribute Stratified Sampling: An Automated Framework for Privacy-Preserving Healthcare Data Publishing with Multiple Sensitive Attributes", Advances in Science, Technology and Engineering Systems Journal, vol. 11, no. 1, pp. 51–68, 2026. doi: 10.25046/aj110106
2. Fahmina Taranum, Sadaf Kauser, Maniza Hijab, Gouri R Patil, Syeda Fouzia Sayeedunissa, "Beyond Fitness: Revolutionary Exercise Tracker Combining Pose Recognition with Heart Rate Monitoring using Remote Photoplethysmography (rPPG)", Advances in Science, Technology and Engineering Systems Journal, vol. 11, no. 1, pp. 33–43, 2026. doi: 10.25046/aj110104
3. Kohinur Parvin, Eshat Ahmad Shuvo, Wali Ashraf Khan, Sakibul Alam Adib, Tahmina Akter Eiti, Mohammad Shovon, Shoeb Akter Nafiz, "Computationally Efficient Explainable AI Framework for Skin Cancer Detection", Advances in Science, Technology and Engineering Systems Journal, vol. 11, no. 1, pp. 11–24, 2026. doi: 10.25046/aj110102
4. Nikolai Dimech, Ivan Grech, Russell Farrugia, Owen Casha, Barnaby Portelli, Joseph Micallef, "Design and Electronic Interfacing of FR4 and Polyimide PCB-based Electromagnetic Resonating Micro-mirrors ", Advances in Science, Technology and Engineering Systems Journal, vol. 11, no. 1, pp. 1–10, 2026. doi: 10.25046/aj110101
5. Shaista Ashraf Farooqi, Aedah Abd Rahman, Amna Saad, "Federated Learning with Differential Privacy and Blockchain for Security and Privacy in IoMT A Theoretical Comparison and Review", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 6, pp. 65–76, 2025. doi: 10.25046/aj100606
6. David Degbor, Haiping Xu, Pratiksha Singh, Shannon Gibbs, Donghui Yan, "StradNet: Automated Structural Adaptation for Efficient Deep Neural Network Design", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 6, pp. 29–41, 2025. doi: 10.25046/aj100603
7. Vinton Morris, Kevin Kornegay, Joy Falaye, Sean Richardson, Marcial Tienteu, Loic Jephson Djomo Tchuenkou, "TIMeFoRCE: An Identity and Access Management Framework for IoT Devices in A Zero Trust Architecture", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 6, pp. 1–22, 2025. doi: 10.25046/aj100601
8. Chiang Ling Feng, "Optimization of Sheet Material Layout in Industrial Production Using Genetic Algorithms", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 5, pp. 51–65, 2025. doi: 10.25046/aj100506
9. Austin Ikechukwu Gbasouzor, Nnamdi Chimaobi Ezenwegbu, Ogochukwu Clementina Okeke, Augustine Azabaze Akaho, Chebet Evaline Langat, "Optimization of Investment in Decision – Making in Engineering Economy", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 5, pp. 33–39, 2025. doi: 10.25046/aj100504
10. Young-Jin Park, Hui-Sup Cho, Sanghun Yun, "Implementation and Simulation of Sequential Adverse Condition Scenarios for Autonomous Driving", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 5, pp. 1–10, 2025. doi: 10.25046/aj100501
11. Gábor Kovács, "Complete System and Interactions of MMF Harmonics in a Squirrel Cage Induction Motor; Differential Leakage; Analytic Calculation", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 4, pp. 20–31, 2025. doi: 10.25046/aj100403
12. Glender Brás, Samara Leal, Breno Sousa, Gabriel Paes, Cleberson Junior, João Souza, Rafael Assis, Tamires Marques, Thiago Teles Calazans Silva, "Machine Learning Methods for University Student Performance Prediction in Basic Skills based on Psychometric Profile", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 4, pp. 1–13, 2025. doi: 10.25046/aj100401
13. khawla Alhasan, "Predictive Analytics in Marketing: Evaluating its Effectiveness in Driving Customer Engagement", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 3, pp. 45–51, 2025. doi: 10.25046/aj100306
14. François Dieudonné Mengue, Verlaine Rostand Nwokam, Alain Soup Tewa Kammogne, René Yamapi, Moskolai Ngossaha Justin, Bowong Tsakou Samuel, Bernard Kamsu Fogue, "Explainable AI and Active Learning for Photovoltaic System Fault Detection: A Bibliometric Study and Future Directions", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 3, pp. 29–44, 2025. doi: 10.25046/aj100305
15. Faraz Farhidi, Yahia Baghzouz, Maxim Rusakov, "Cooperative Game Theory for Grid Service Pricing: A Utility-Centric Approach", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 3, pp. 21–28, 2025. doi: 10.25046/aj100304
16. Andi Kristanto, Utari Dewi, Dina Fitria Murad, Yumiati, Santi Dewiki, Tiara Sevi Nurmania, "Utilization of Generative Artificial Intelligence to Improve Students’ Visual Literacy Skills", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 3, pp. 1–8, 2025. doi: 10.25046/aj100301
17. Ya Gao, Fatma Layas, Xiangyu Dong, Yijing Li, Jiayi Li, "A Study of the Digital Health Management Needs of the Elderly", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 2, pp. 42–48, 2025. doi: 10.25046/aj100205
18. Stephen Obare, Kennedy Ogada, "A Review of Natural Language Processing Techniques in Under-Resourced Languages", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 2, pp. 35–41, 2025. doi: 10.25046/aj100204
19. Surapol Vorapatratorn, Nontawat Thongsibsong, "AI-Based Photography Assessment System using Convolutional Neural Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 2, pp. 28–34, 2025. doi: 10.25046/aj100203
20. Maikel Leon, "Generative Artificial Intelligence and Prompt Engineering: A Comprehensive Guide to Models, Methods, and Best Practices", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 2, pp. 01–11, 2025. doi: 10.25046/aj100201
21. Gábor Kovács, "Selection of Rotor Slot Number in 3-phase and 5-phase Squirrel Cage Induction Motor; Analytic Calculation", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 1, pp. 60–74, 2025. doi: 10.25046/aj100107
22. Nilar Phyo Wai, Nu War, "Text Line Segmentation on Myanmar Handwritten Document using Average Linkage Clustering Algorithm", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 1, pp. 48–59, 2025. doi: 10.25046/aj100106
23. Mahdi Madani, El-Bay Bourennane, Safwan El Assad, "Hardware and Secure Implementation of Enhanced ZUC Steam Cipher Based on Chaotic Dynamic S-Box", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 1, pp. 37–47, 2025. doi: 10.25046/aj100105
24. Gábor Kovács, "Analytical Study on the Effect of Rotor Slot Skewing on the Parasitic Torques of the Squirrel Cage Induction Machine", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 1, pp. 20–36, 2025. doi: 10.25046/aj100104
25. Khalifa Sylla, Birahim Babou, Mama Amar, Samuel Ouya, "Impact of Integrating Chatbots into Digital Universities Platforms on the Interactions between the Learner and the Educational Content", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 1, pp. 13–19, 2025. doi: 10.25046/aj100103
26. Ezri Cruz-Pérez, José Locia-Espinoza, Joel Jahaziel Díaz-Vallejo, Magda Olivia Pérez-Vásquez, Luis Morales de la Vega, Luz Irene Pascual-Mathey, "Evaluation of Physicochemical Stability in Extemporaneous Omeprazole-Based Preparations", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 1, pp. 7–12, 2025. doi: 10.25046/aj100102
27. Sarawuth Pramualsingha, Kazuo Yamamoto, RikutoTanaka, "Lightning Detection System for Wind Turbines Using a Large-Diameter Rogowski Coil", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 1, pp. 1–6, 2025. doi: 10.25046/aj100101
28. Tanay Patni, Abhijit Pethe, "True Random Number Generator Implemented in ReRAM Crossbar Based on Static Stochasticity of ReRAMs", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 5, pp. 30–36, 2024. doi: 10.25046/aj090504
29. Abhishek Shrestha, Jürgen Großmann, "On Adversarial Robustness of Quantized Neural Networks Against Direct Attacks", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 6, pp. 30–46, 2024. doi: 10.25046/aj090604
30. Tamao Kobayashi, Koichi Murata, "Development and Application of Value Karuta to Understand Value in Lean Management: Initial Small-group Trial in Japan and the UK", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 6, pp. 21–29, 2024. doi: 10.25046/aj090603
31. Ahmet Emin Ünal, Halit Boyar, Burcu Kuleli Pak, Vehbi Çağrı Güngör, "Utilizing 3D models for the Prediction of Work Man-Hour in Complex Industrial Products using Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 6, pp. 01–11, 2024. doi: 10.25046/aj090601
32. Koji Oda, Toshiyasu Kato, Yasushi Kambayashi, "Evaluation of a Classroom Support System for Programming Education Using Tangible Materials", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 5, pp. 21–29, 2024. doi: 10.25046/aj090503
33. Maikel Leon, Hanna DeSimone, "Advancements in Explainable Artificial Intelligence for Enhanced Transparency and Interpretability across Business Applications", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 5, pp. 09–20, 2024. doi: 10.25046/aj090502
34. Diego Costa, Gabriel Matos, Anderson Lins, Leon Barroso, Carlos Aguiar, Erick Bezerra, "Web Application Interface Data Collector for Issue Reporting", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 5, pp. 01–08, 2024. doi: 10.25046/aj090501
35. Woratida Sawangnamwong, Siam Charoenseang, "Assistive System for Collaborative Assembly Task using Augmented Reality", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 4, pp. 110–118, 2024. doi: 10.25046/aj090412
36. Yangjun Chen, Bobin Chen, "On Mining Most Popular Packages", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 4, pp. 60–72, 2024. doi: 10.25046/aj090407
37. Joshua Carberry, Haiping Xu, "GPT-Enhanced Hierarchical Deep Learning Model for Automated ICD Coding", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 4, pp. 21–34, 2024. doi: 10.25046/aj090404
38. Haruki Murakami, Takuma Miwa, Kosuke Shima, Takanobu Otsuka, "Proposal and Implementation of Seawater Temperature Prediction Model using Transfer Learning Considering Water Depth Differences", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 4, pp. 01–06, 2024. doi: 10.25046/aj090401
39. Brandon Wetzel, Haiping Xu, "Deploying Trusted and Immutable Predictive Models on a Public Blockchain Network", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 72–83, 2024. doi: 10.25046/aj090307
40. Anirudh Mazumder, Kapil Panda, "Leveraging Machine Learning for a Comprehensive Assessment of PFAS Nephrotoxicity", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 62–71, 2024. doi: 10.25046/aj090306
41. Nguyen Viet Hung, Tran Thanh Lam, Tran Thanh Binh, Alan Marshal, Truong Thu Huong, "Efficient Deep Learning-Based Viewport Estimation for 360-Degree Video Streaming", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 49–61, 2024. doi: 10.25046/aj090305
42. Sami Florent Palm, Sianou Ezéckie Houénafa, Zourkalaïni Boubakar, Sebastian Waita, Thomas Nyachoti Nyangonda, Ahmed Chebak, "Solar Photovoltaic Power Output Forecasting using Deep Learning Models: A Case Study of Zagtouli PV Power Plant", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 41–48, 2024. doi: 10.25046/aj090304
43. Taichi Ito, Ken’ichi Minamino, Shintaro Umeki, "Visualization of the Effect of Additional Fertilization on Paddy Rice by Time-Series Analysis of Vegetation Indices using UAV and Minimizing the Number of Monitoring Days for its Workload Reduction", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 29–40, 2024. doi: 10.25046/aj090303
44. Henry Toal, Michelle Wilber, Getu Hailu, Arghya Kusum Das, "Evaluation of Various Deep Learning Models for Short-Term Solar Forecasting in the Arctic using a Distributed Sensor Network", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 12–28, 2024. doi: 10.25046/aj090302
45. Tinofirei Museba, Koenraad Vanhoof, "An Adaptive Heterogeneous Ensemble Learning Model for Credit Card Fraud Detection", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 01–11, 2024. doi: 10.25046/aj090301
46. Marco I. Bonelli, Jiahao Liu, "Revolutionizing Robo-Advisors: Unveiling Global Financial Markets, AI-Driven Innovations, and Technological Landscapes for Enhanced Investment Decisions", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 2, pp. 33–44, 2024. doi: 10.25046/aj090205
47. Puntip Jongkroy, Ponthip Limlahapun, "Spatial Distribution Patterns of the Royal Development Projects Initiated by King Rama 9th of Thailand", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 2, pp. 26–32, 2024. doi: 10.25046/aj090204
48. Pui Ching Wong, Shahrum Shah Abdullah, Mohd Ibrahim Shapiai, "Double-Enhanced Convolutional Neural Network for Multi-Stage Classification of Alzheimer’s Disease", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 2, pp. 09–16, 2024. doi: 10.25046/aj090202
49. Rafi Zahedi, Amirhossein Ahmadian, Chen Zhang, Shashank Narayana Gowda, Kourosh SedghiSigarchi, Rajit Gadh, "Optimal Engagement of Residential Battery Storage to Alleviate Grid Upgrades Caused by EVs and Solar Systems", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 2, pp. 01–08, 2022. doi: 10.25046/aj090201
50. Peerawat Meesuk, Vijit Kinnares, "Mathematical Model of Wind Turbine Simulator Based Five-Phase Permanent Magnet Synchronous Generator with Nonlinear Loads and Harmonic Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 165–174, 2024. doi: 10.25046/aj090116
51. Giwa Abdulgafar Babatunde, Ewetumo Theophilus, Ojo Joseph. Sunday, Adedayo Kayode David, Owolabi Gbenga Ayodele, "Development of a GSM-RC Automated Device for Measuring Mobile Communication Signal Strength and Meteorological Parameters", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 149–164, 2024. doi: 10.25046/aj090115
52. Daisuke Hirahara, Itaru Kaneko, Junji Nishino, Junichiro Hayano, Oscar Martinez Mozos, Emi Yuda, "Investigating Heart Rate Variability Index Classification in Macaca fascicularis and Humans: Exploring Applications for Personal Identification and Anonymization Studies", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 143–148, 2024. doi: 10.25046/aj090114
53. Pegah Yazdkhasti, Julian Luciano Cárdenas–Barrera, Chris Diduch, "Smart Agent-Based Direct Load Control of Air Conditioner Populations in Demand Side Management", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 114–123, 2024. doi: 10.25046/aj090111
54. Wordh Ul Hasan, Kimia Tuz Zaman, Shadi Alian, Tianyi Liang, Vikram Pandey, Jun Kong, Cui Tao, Juan Li, "Bridging Culture and Care: A Mobile App for Diabetes Self-Care Honoring Native American Cultural Practices", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 104–113, 2024. doi: 10.25046/aj090110
55. Florance Yune, Khin Mar Soe, "Tracing the Evolution of Machine Translation: A Journey through the Myanmar (Burmese)-Wa (sub-group of the Austro-Asiatic language) Corpus", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 79–90, 2024. doi: 10.25046/aj090108
56. Asrar Hussain Alderham, Emad Sami Jaha, "Improved Candidate-Career Matching Using Comparative Semantic Resume Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 15–32, 2024. doi: 10.25046/aj090103
57. Yutaka Yoshida, Emi Yuda, "Verify of Left and Right Differences in Sleep Index using the Ring-type Sensor", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 9–14, 2024. doi: 10.25046/aj090102
58. Alioune Cisse, Ousmane Diallo, EL Hadji Malick Ndoye, Mamadou Sy, Ousseynou Sene, Joel José Puga Coelho Rodrigues, "A Smart Farming Management System based on IoT Technologies for Sustainable Agriculture", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 1–8, 2024. doi: 10.25046/aj090101
59. Toya Acharya, Annamalai Annamalai, Mohamed F Chouikha, "Optimizing the Performance of Network Anomaly Detection Using Bidirectional Long Short-Term Memory (Bi-LSTM) and Over-sampling for Imbalance Network Traffic Data", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 144–154, 2023. doi: 10.25046/aj080614
60. Fazalur Rehman, Safwan Hashmi, "Enhancing Cloud Security: A Comprehensive Framework for Real-Time Detection, Analysis and Cyber Threat Intelligence Sharing", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 107–119, 2023. doi: 10.25046/aj080612
61. Samiha Fairooz, Shakila Yeasmin Miti, Zihadul Islam, Meem Tasfia Zaman, "A Secure Medical History Card Powered by Blockchain Technology", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 96–106, 2023. doi: 10.25046/aj080611
62. Koloud N. Alkhamaiseh, Janos L. Grantner, Ikhlas Abdel-Qader, Saad Shebrain, "Towards Real-Time Multi-Class Object Detection and Tracking for the FLS Pattern Cutting Task", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 87–95, 2023. doi: 10.25046/aj080610
63. Jong-Hwa Yoon, Dal-Hwan Yoon, "Implementation of a GAS Injection Type Prefabricated Lifting Device for Underwater Rescue Based on Location Tracking", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 78–86, 2023. doi: 10.25046/aj080609
64. Renhe Chi, "Comparative Study of J48 Decision Tree and CART Algorithm for Liver Cancer Symptom Analysis Using Data from Carnegie Mellon University", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 57–64, 2023. doi: 10.25046/aj080607
65. Ng Kah Kit, Hafeez Ullah Amin, Kher Hui Ng, Jessica Price, Ahmad Rauf Subhani, "EEG Feature Extraction based on Fast Fourier Transform and Wavelet Analysis for Classification of Mental Stress Levels using Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 46–56, 2023. doi: 10.25046/aj080606
66. Afrodite Papagiannopoulou, Chrissanthi Angeli, "Social Media Text Summarization: A Survey Towards a Transformer-based System Design", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 26–36, 2023. doi: 10.25046/aj080604
67. Nizar Sakli, Chokri Baccouch, Hedia Bellali, Ahmed Zouinkhi, Mustapha Najjari, "IoT System and Deep Learning Model to Predict Cardiovascular Disease Based on ECG Signal", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 08–18, 2023. doi: 10.25046/aj080602
68. Firdaus Sukarman, Ryoma Sato, Eisuke Kita, "Control Program Generator for Vehicle Robot using Grammatical Evolution", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 01–07, 2023. doi: 10.25046/aj080601
69. Ian Spencer Howard, "Design and Prototyping of a 3DOF Worm-drive Robot Arm", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 5, pp. 77–93, 2023. doi: 10.25046/aj080509
70. Juhyeon Jeon, Dongho Lee, "Resonance Coil Design for a Novel Battery Cell Balancing with using Near-Field Coupling", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 5, pp. 70–76, 2023. doi: 10.25046/aj080508
71. Mohamed Nayef Zareer, Rastko Selmic, "Modeling Control Agents in Social Media Networks Using Reinforcement Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 5, pp. 62–69, 2023. doi: 10.25046/aj080507
72. Mauricio Flores-Nicolás, Magally Martínez-Reyes, Felipe de Jesús Matías-Torres, "The Graded Multidisciplinary Model: Fostering Instructional Design for Activity Development in STEM/STEAM Education", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 5, pp. 55–61, 2023. doi: 10.25046/aj080506
73. Lucksawan Yutthanakorn, Siam Charoenseang, "Augmented Reality Based Visual Programming of Robot Training for Educational Demonstration Site", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 5, pp. 8–16, 2023. doi: 10.25046/aj080502
74. Joana Braguez, "SEVEN ReImagined: A Transmedia Storytelling Evolution Proposal", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 4, pp. 122–130, 2023. doi: 10.25046/aj080414
75. Soukaina Nai, Amal Rifai, Abdelalim Sadiq, M’hamed Bakrim, "Detailed Study of a Proposal for a Computer Based Tutoring Strategy", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 1–10, 2023. doi: 10.25046/aj080301
76. Sahar Fekry Abdel-Momen, Abdel Halim Abdelnaby Zekry, Ashraf Yehia Hassan, Wageeda Ibrahim Shaban, Mustafa Mohammed Shiple, "FPGA Implementation of 5G NR LDPC Codes", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 4, pp. 91–100, 2023. doi: 10.25046/aj080411
77. Zobeda Hatif Naji Al-azzwi, Alexey N. Nazarov, "MRI Semantic Segmentation based on Optimize V-net with 2D Attention", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 4, pp. 73–80, 2023. doi: 10.25046/aj080409
78. Younes Fakhradine El Bahi, Latifa Ezzine, Zineb Aman, Imane Moussaoui, Miloud Rahmoune, Haj El Moussami, "Distribution Management Problem: Heuristic Solution for Vehicle Routing Problem with Time Windows (VRPTW) in the Moroccan Petroleum Sector", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 4, pp. 66–72, 2023. doi: 10.25046/aj080408
79. Kohei Okawa, Felix Jimenez, Shuichi Akizuki, Tomohiro Yoshikawa, "Investigating the Impression Effects of a Teacher-Type Robot Equipped a Perplexion Estimation Method on College Students", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 4, pp. 28–35, 2023. doi: 10.25046/aj080404
80. Yangshichi, Hayoung Oh, HyunJong Kim, "The Influence Analysis of Internet Finance on China’s Banking Industry Development", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 250–261, 2023. doi: 10.25046/aj080328
81. Mohammadali Hayerikhiyavi, Aleksandar Dimitrovski, "Three-phase Continuously Variable Series Reactor – Realistic Modeling and Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 202–211, 2023. doi: 10.25046/aj080323
82. Yu-Jin An, Ha-Young Oh, Hyun-Jong Kim, "Forecasting Bitcoin Prices: An LSTM Deep-Learning Approach Using On-Chain Data", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 186–192, 2023. doi: 10.25046/aj080321
83. Seungjea Lee, Moonwoo Park, "A Numerical Study on The Change in Safety Factor (FOS) According to Slope Angle Change for The Establishment of Photovoltaic Facilities Using SRM (Strength Reduction Method)", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 178–185, 2023. doi: 10.25046/aj080320
84. Yehan Kodithuwakku, Chanuka Bandara, Ashan Sandanayake, R.A.R Wijesinghe, Velmanickam Logeeshan, "Smart Healthcare Kit for Domestic Purposes", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 170–177, 2023. doi: 10.25046/aj080319
85. Kitipoth Wasayangkool, Kanabadee Srisomboon, Chatree Mahatthanajatuphat, Wilaiporn Lee, "Accuracy Improvement-Based Wireless Sensor Estimation Technique with Machine Learning Algorithms for Volume Estimation on the Sealed Box", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 108–117, 2023. doi: 10.25046/aj080313
86. Sutham Satthamsakul, Ari Kuswantori, Witsarut Sriratana, Worapong Tangsrirat, Taweepol Suesut, "Landmarking Technique for Improving YOLOv4 Fish Recognition in Various Background Conditions", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 100–107, 2023. doi: 10.25046/aj080312
87. Marcos Felipe, Haiping Xu, "HistoChain: Improving Consortium Blockchain Scalability using Historical Blockchains", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 89–99, 2023. doi: 10.25046/aj080311
88. Mohammed Mahfuz Hossain, Thomas Ortmeyer, Everett Hall, "Human-Centered Design, Development, and Evaluation of an Interface for a Microgrid Controller", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 80–88, 2023. doi: 10.25046/aj080310
89. Alvin Sahroni, Isnatin Miladiyah, Nur Widiasmara, Hendra Setiawan, "Analysis of Linear and Non-Linear Short-Term Pulse Rate Variability to Evaluate Emotional Changes during the Trier Social Stress Test", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 69–79, 2023. doi: 10.25046/aj080309
90. Chaiyaporn Khemapatapan, Thammanoon Thepsena, "Forecasting the Weather behind Pa Sak Jolasid Dam using Quantum Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 54–62, 2023. doi: 10.25046/aj080307
91. Joaquín Pérez Balbela, Aruna Prem Bianzino, "Indoor Positioning: Comparing Different Techniques and Dealing with a user Authentication use Case", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 40–47, 2023. doi: 10.25046/aj080305
92. Christoph Domnik, Daniel Erni, Christoph Degen, "Measurement System for Evaluation of Radar Algorithms using Replication of Vital Sign Micro Movement and Dynamic Clutter", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 29–39, 2023. doi: 10.25046/aj080304
93. Yu Yan, Eric Wallace Cooper, Richard Lee, "Inferring Student Needs Based on Facial Expression in Video Images", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 19–28, 2023. doi: 10.25046/aj080303
94. Kangrong Tan, Shozo Tokinaga, "Markov Regime Switching Analysis for COVID-19 Outbreak Situations and their Dynamic Linkages of German Market", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 11–18, 2023. doi: 10.25046/aj080302
95. Nguyen Van Tan, Duong Thi Thanh Tu, Nguyen Viet Hung, Hoang Minh Duc, "Achieving a High Isolation for the Triple-band MIMO Antenna in 5G/ Wi-Fi 6 Applications using Symmetric Parasitic Structure", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 139–147, 2023. doi: 10.25046/aj080216
96. Mario Cuomo, Federica Massimi, Francesco Benedetto, "Detecting CTC Attack in IoMT Communications using Deep Learning Approach", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 130–138, 2023. doi: 10.25046/aj080215
97. Temsamani Khallouk Yassine, Achchab Said, Laouami Lamia, Faridi Mohammed, "Hybrid Discriminant Neural Networks for Performance Job Prediction", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 116–122, 2023. doi: 10.25046/aj080213
98. Der-Jiun Pang, "Hybrid Machine Learning Model Performance in IT Project Cost and Duration Prediction", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 108–115, 2023. doi: 10.25046/aj080212
99. Mohammed Al-Shanfari, "The First Application of the Multistage One-Shot Decision-Making Approach to Reevaluate a Technology Project Decision Problem", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 97–107, 2023. doi: 10.25046/aj080211
100. Ivana Marin, Sven Gotovac, Vladan Papić, "Development and Analysis of Models for Detection of Olive Trees", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 87–96, 2023. doi: 10.25046/aj080210