Research ArticleOpen accessPhrase in the titleFall Detection Using the Histogram of Oriented Gradients and Decision-Based FusionMohamed Maher Ben Ismail, Arwa AlGabas, Ouiem BchirAs the number of fall incidents among elderly people and patients are continuously growing, researches boosted their researches to propose efficient automatic fall detection systems. In particular, they formulated the fall detection problem as a supervised learning task where some visual features are extracted from the video frames and used to automatically identify the position of a human as “Fall” … …Journal of Computer Science, Vol. 16, Issue 2 · 26 Feb 2020 · 7,500 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleElderly People Fall Detection System Using Skeleton Tracking and RecognitionD. Bansal, Abeer Alsadoon, P.W.C. Prasad et al.The fall detection systems use a variety of technologies like sensors, wearable devices, color camera, thermal camera etc. With the use of Microsoft Kinect camera for non-gaming purposes, depth images have started being utilized for fall detection. Various authors have made an attempt at using Kinect for fall detection in combination with a variety of techniques like ellipse analysis, bounding … …American Journal of Applied Sciences, Vol. 15, Issue 9 · 7 Nov 2018 · 8,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of IoT Security Frameworks With BIoTCGaurav Vats, Sarvesh Tanwar, Pankaj Kumar SharmaThe Internet of Things (IoT) has reshaped the modern intelligent environments, but it remains vulnerable to sophisticated attacks such as Man-in-the-Middle (MITM), RFID cloning, unauthorized access, and social engineering. Block Internet of Things Chain (BIoTC) introduces a simulation-based approach to address these security issues. While various frameworks have been proposed to secure IoT systems, most of them fall short in … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,474 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Intelligence in Quality Control: Transforming Manufacturing ProcessesGopinath KathiresanThe integration of Artificial Intelligence (AI) into Quality Control (QC) is transforming manufacturing by enhancing accuracy, efficiency, and productivity. Traditional QC methods, reliant on manual inspection and basic automation, often fall short in addressing the complexities of modern production environments. This paper presents a review on the application of AI, particularly machine learning, deep learning, and reinforcement learning, in manufacturing … …Journal of Computer Science, Vol. 22, Issue 1 · 12 Feb 2026 · 6,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT Intrusion Detection using Auto-Encoder and Machine Learning TechniquesAhmed Ridha Khudhu, Khairulmizam SamsudinIoTnetwork refers to the capability of connecting smart and various devices to asingle network for the sake of performing a particular task. Similar toconventional networks, IoT networks are vulnerable to several attacks.Therefore, IoT Intrusion Detection has caught much research attention. Severalstudies have examined the task of intrusion detection for IoT networks. Withinsuch studies, the focus was set to accommodate a … …Journal of Computer Science, Vol. 18, Issue 10 · 27 Sep 2022 · 6,458 accessesView PDFCite
Research ArticleOpen accessIn the abstractRetinal Image Analysis for Abnormality Detection-An OverviewR. Karthikeyan, P. AlliProblem statement: Classification plays a major role in retinal image analysis for detecting the various abnormalities in retinal images. Classification refers to one of the mining concepts using supervised or unsupervised learning techniques. Approach: Diabetic retinopathy is one of the common complications of diabetes. Unfortunately, in many cases, the patient is not aware any symptoms until it is too late … …Journal of Computer Science, Vol. 8, Issue 3 · 24 Jan 2012 · 7,280 accessesView PDFCite
Research ArticleOpen accessIn the abstractSteel Piling Corrosion Management of Al-Zubare HarborMohammed H. Hafiz, Hemin M. MohyaldeenProblem statement: Damage due to corrosion is a significant problem worldwide. Countries around the world have estimated that the cost of corrosion to their national economies to be 3-4% of their gross national product. Approach: Design and implementation a new steel piling of the Corrosion Management Program (CMP) in Al-Zubare harbor. Corrosion management algorithm can be divided into three major … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,259 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,051 accessesView PDFCite