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Research ArticleOpen accessAll words, across the recordIntelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data SetWalaa Hassan Elashmawi, Alaa Sheta, Ahmad Al-QeremThe rapid growth of technology has brought about many advantages, but has also made networks more susceptible to security threats. Intrusion Detection Systems (IDS) play a vital role in protecting computer networks against malicious activities. Given the dynamic and constantly evolving nature of cyber threats, these systems must continuously adapt to maintain their effectiveness. Machine Learning (ML) methods have gained … …Journal of Computer Science, Vol. 21, Issue 8 · 28 Aug 2025 · 5,818 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnnotation of Facial Expressions (Navarasa) in Videos Using Deep LearningReshma M R, Kannan B, Jagathy Raj V P, Shailesh SFacial expression plays a significant role in understanding human behavior, alongside other relevant elements such as body posture, gait, and hand gestures. In the context of Indian Classical Dance (ICD), these elements work together to convey the stories depicted by characters from Indian mythology. Accompanying songs and shlokas evoke emotions, reflected in performers' facial expressions known as the performance. In … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 4,093 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordBig Data Analytics (BDA) in the Research Landscape: Using Python and VOSviewer for Advanced Bibliometric AnalysisSamsul Arifin, Muhammad Faisal, Monica Mayeni Manurung et al.Big data analytics has become a key element in research and development in various fields. With the ability to analyze large and complex amounts of data, this technology allows researchers to identify patterns, trends, and insights that were not seen before. This article explores how big data analytics is applied in various disciplines, including computer science, engineering, and mathematics. We … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,585 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUser Experiences and Usability Evaluation of COVID-19 ApplicationShimaa Abdullah NagroTawakkalna is an application developed by the Saudi Arabian government to manage the spread of COVID-19 in the country. Even now that the pandemic is under better control, Tawakkalna continues to offer numerous services to its users. People of all age groups, including children and adults, rely on the application on a daily basis. It is important to evaluate the … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,929 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordRandom Forests for Online Intrusion Detection in Computer NetworksHeitor Scalco Neto, Wilian Soares Lacerda, Rafael Verão FrançozoThis study proposes a methodology to build an Online Network Intrusion Detection System by using the Computational Intelligence technique called Random Forests and an API to preprocess the network packets. The experiments were carried out from two network traffic databases: The ISCX (i); and a test database (ii) created with the proposed API in our own network environment. The results … …Journal of Computer Science, Vol. 17, Issue 10 · 19 Oct 2021 · 6,955 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCheating Detection in Examinations Using Improved YOLOv8 with Attention MechanismYan Zuo, Soo See Chai, Kok Luong GohExaminations are among the most widely used and effective methods for assessing knowledge mastery, both domestically and internationally, and are extensively used in various talent-selection processes. Currently, offline exam venues usually rely on on-site manual invigilation combined with exam-monitoring videos to further strengthen invigilation efforts. However, this invigilation method not only utilizes large amounts of human and material costs but … …Journal of Computer Science, Vol. 20, Issue 12 · 6 Nov 2024 · 6,253 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEfficient Detection of Palm and Hand Landmark for Speech Impaired People Using Mediapipe ModelSharmila Rathod, Nilesh Rathod, Nilesh Marathe et al.Human-machine interaction may be a basic figure in this age of touch-screen gadgets. Numerous gadgets are being created that can be worked without touching the system. So, in this consideration, how to function the framework utilizing signals instead of touching it appears. The point of this study is to create different communication procedures between humans and individual computers that would … …Journal of Computer Science, Vol. 20, Issue 9 · 24 Jun 2024 · 5,415 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordHuman Activity Prediction Studies Using Wearable Sensors and Machine LearningDivya Sharma, Usha ChauhanNowadays, Human Activity Recognition (HAR) systems have become so demanding that they find applications in the field of assisted living systems, elderly healthcare systems, smart homes, healthcare monitoring applications, surveillance systems, etc. Due to its increasing demand in computer science; machine learning and deep learning have brought a paradigm shift in the area of sensor-based recognition systems. Providing accurate information … …Journal of Computer Science, Vol. 20, Issue 4 · 14 Feb 2024 · 7,201 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordClassification of Normal and Abnormal Lung CT-scan Images Using Cellular Learning AutomataNooshin Hadavi, Md Jan Nordin, Ali Shojaeipour, Mohammad Faidzul NasrudinThis paper proposes a medical pattern recognition system based on the Cellular automata (CA). CA or cellular machine is a dynamic mathematical model that consists of several similar and simple units organized by considerably simple local rules. Each cell acts as a simple computer automaton. This can lead to the implementation of the complex computations through uncomplicated methods. However, the … …Journal of Computer Science, Vol. 16, Issue 1 · 15 Jan 2020 · 7,834 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordRadial Basis Function Networks and Contrast-Limited Adaptive Histogram Equalization Filter Based Early-Stage Breast Cancer Detection TechniquesAnitha Ponraj, Aroul CanessaneBreast cancer is one of the most common types of cancer that kills women. When cells become uncontrollably large, cancer develops. As a result, detecting and classifying breast cancer in its early stages is essential so that patients can take the appropriate precautions. On the other hand, mammography images have relatively low sensitivity and effectiveness in detecting breast cancer. Furthermore, … …Journal of Computer Science, Vol. 19, Issue 6 · 25 May 2023 · 5,613 accessesView PDFCite