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52 results for “Face Detection”
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Research ArticleOpen accessIn the abstractFace Log Creation from Low-Light CCTV VideosSomasundaram Sony Priya, Rajasekharan Indra MinuIn today’s rapidly evolving technological landscape, surveillance systems have become critical for security and operational management. Extracting accurate facial data from low-light CCTV footage remains a significant challenge due to limited visibility. This research presents a comprehensive methodology to address the complexities of face detection, recognition and timestamp extraction in low-light environments. Our approach focuses on creating detailed face logs … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 7,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Innovative Method for Recognizing Face Expressions Based on Genetic Algorithm and Extreme Learning Based Hybrid ModelTushar Dhar Shukla, Md Oqail Ahmad, Puneet Sapra et al.The detection of facial action coding system Action Units (AU) and other facial expressions has been a major focus of computer science for more than 20 years categorizing discrete emotional states based on facial expressions. While several widely used face expression databases exist, standardization and comparability remain key challenges. The lack of a universally recognized assessment procedure and insufficient information … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance EvaluationBoopalan K., Satyajee Srivastava, K. Kavitha et al.As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% of an individual's emotional and mental state in the whole range of face-to-face communication, Facial Emotion Recognition is crucial for connecting humans and computers. Improvements in the way computer systems (robotic systems) interact … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractFacial Recognition and Discovery Using Convolution Deep Learning Neural NetworkAbdel Karim Mohamed BaarehFacial recognition is a critical and well-established topic that has caught the interest of researchers across various application areas. Face detection and identification are critical components of human detection systems. Researchers in different fields used numerous techniques to recognize human faces in various positions considering several features, many results were also obtained. In this research, we aim to use a … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,243 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Detection of Mask-Wearing Mistakes by Deep LearningChahinez Mérièm BentaouzaThis study focuses on the detection of wearing mask errors after machine learning by a Multi-Layer Perceptron Mixer (MLP Mixer) applied to protect masks from COVID-19. To combat the spread of the COVID-19 pandemic, facemasks have become an essential accessory, so it's necessary to identify individuals who follow this health protection. In this case, the most successful face-detection method Viola-Jones … …Journal of Computer Science, Vol. 20, Issue 7 · 25 Apr 2024 · 5,195 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlock Optimization Algorithm-Based Deep Learning Model for Diabetic Disease Detection ImprovementDivager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha et al.Worldwide, 422 million people suffer from diabetic disease, and 1.5 million die yearly. Diabetes is a threat to people who still fail to cure or maintain it, so it is challenging to predict this disease accurately. The existing systems face data over-fitting issues, convergence problems, non-converging optimization complex predictions, and latent and predominant feature extraction. These issues affect the system's … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,208 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Transformer Based Model to Detect Environmental Related Distress on Online Social MediaUtkarsh Sharma, Prateek Pandey, Shishir KumarOnline social media has been recently employed as the source of data for the detection of traffic-related activities and to control the flow of traffic in smart cities all over the world. Till now an ample amount of research work has been done in identification of traffic-related incidents with the help of online social media platforms (mostly Twitter). Along with … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 462 accessesView PDFCite
Review ArticleOpen accessIn the abstractMasked Face Identification and Tracking Using Deep Learning: A ReviewShahad Fadhil Abbas, Shaimaa Hameed Shaker, Firas A. AbdullatifFacial recognition systems are becoming more prevalent in our daily lives. Based on artificial intelligence, computers play a very important role in the issue of identifying and tracking. This technology is mostly used for security and law enforcement. In view of the COVID-19 pandemic, government directives have been issued to citizens to wear medical masks in crowded institutions and places, … …Journal of Computer Science, Vol. 19, Issue 12 · 28 Oct 2023 · 5,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractGender Classification from Face and Eyes Images Using Deep Learning AlgorithmZahraa Salam Abu Ghrban, Nidhal Khdhair EL AbbadiGender classification provides additional information about the individual’s identity, which is crucial in surveillance, smart interface, and smart advertising, it is a very important aspect of face analysis that has piqued the interest of researchers in areas such as demographic information collection, surveillance, human-computer interaction, marketing intelligence, security, etc. Usually, facial images are used to extract features for classification. This … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 6,937 accessesView PDFCite
Review ArticleOpen accessIn the abstractDDoS Mitigation Using Machine Learning in Software-Defined NetworksAhmed Gaber Abu Abd-Allah, Noureldin Omar Mohamed, Mohamed Samir Mohamed et al.With the escalating frequency and sophistication of Distributed Denial of Service (DDoS) attacks, the realm of cyber security has witnessed a paradigm shift towards innovative solutions. This review explores the potential of machine learning as a powerful defense mechanism in the field of DDoS mitigation within Software-Defined Networks (SDNs). The study methodically examines a variety of machine learning algorithms used … …Journal of Computer Science, Vol. 21, Issue 4 · 23 Mar 2025 · 6,774 accessesView PDFCite