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150 articles for “Computer Methods”
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Research ArticleOpen accessIn the abstractEnhancing P300 Component by Spectral Power Ratio Principal Components for a Single Trial Brain-Computer InterfaceS. Andrews, Ramaswamy Palaniappan, Andrew Teoh, Loo chu KiongHere we present a novel approach to detect P300 wave in single trial Visual Event Related Potential (VERP) signals using improved principal component analysis to enable a faster brain-computer interface (BCI) design. In the process, the principal components (PCs) are selected using novel methods, namely spectral power ratio (SPR) and sandwich spectral power ratio (SSPR). We set out to assess … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,884 accessesView PDFCite
Review ArticleOpen accessIn the abstractEnhancement of GPS Position Accuracy Using Machine Vision and Deep Learning TechniquesAshwani Kumar AggarwalThe accuracy of GPS position estimation in urban cities is an issue which need to be resolved using machine vision and deep learning techniques. The accuracy of GPS in horizontal direction is better than in the vertical direction. Although for most of the navigation applications in intelligent transportation systems, horizontal positioning accuracy is vital, but vertical position accuracy gives idea … …Journal of Computer Science, Vol. 16, Issue 5 · 25 May 2020 · 18,673 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlternative Monitoring Approach for IPTVAngel Ignatov, Hristo Toshkov Hristov, Jan Latal et al.IPTV emerged in the late 1990s as a solution for delivering Video on Demand (VoD) and live television over managed networks. Its widespread adoption accelerated after the expansion of broadband internet and the introduction of web technologies such as HTML5 and adaptive streaming protocols (MPEG-DASH and HLS), which enabled television content to be streamed directly through web browsers. Across Europe, … …Journal of Computer Science, Vol. 22, Issue 11 · 8 Oct 2026 · 438 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,511 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,435 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach of Texture Feature and Gradient Orientation for Computer Aided Diagnosis System Based on Breast Density ClassificationNujum Alabdulali, Alanod Bin Dris, Fatimah Alqahtani, Aseel Bin OthmanA Computer-Aided Diagnosis (CAD) system can perform an accurate diagnosis and help radiologists by presenting a second opinion about breast density. However, the development of a robust CAD system for breast density classification is still an open problem. In this study, we proposed a CAD system based on hybrid intelligent machine learning technique for automatic classification of breast density on … …Journal of Computer Science, Vol. 16, Issue 10 · 1 Nov 2020 · 6,764 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification 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 · 7,841 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Overview of Handwritten Recognition Techniques: A SurveySardar Hasen Ali, Maiwan Bahjat AbdulrazzaqDeep learning and deep neural networks, particularly Convolutional Neural Networks (CNNs), are rapidly growing areas of machine learning and are currently the primary tools used for image analysis and classification applications. Handwriting recognition involves using computer algorithms and software to interpret and recognize handwritten text and drawings and has various applications such as automated handwriting analysis, document digitization, and handwriting-based … …Journal of Computer Science, Vol. 19, Issue 5 · 8 Apr 2023 · 8,771 accessesView PDFCite
Review ArticleOpen accessIn the abstractUsable AI: Critical Review of Its Current Issues and TrendsMajed Alshamari, Thanaa AlsalemUsable Artificial Intelligence (AI) application refers to an AI solution that is characterized by the easiness of use and learning through an optimum interface established by a proficient Human-Computer Interface (HCI) design. This article reviews the related literature to find out the importance of HCI to make AI valuable and usable. The article also investigates the possible solutions and guidelines … …Journal of Computer Science, Vol. 19, Issue 3 · 13 Feb 2023 · 8,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractHow to Document Computer NetworksSabah Al-Fedaghi, Bader BehbehaniDocumenting networks is an essential tool for troubleshooting network problems. The documentation details a network’s structure and context, serves as a reference and makes network management more effective. Complex network diagrams are hard to document and maintain and are not guaranteed to reflect reality. They contain many superficial icons (e.g., wall, screen and tower). Defining a single coherent network architecture … …Journal of Computer Science, Vol. 16, Issue 6 · 10 Jun 2020 · 7,589 accessesView PDFCite