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18 articles for “best track”
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Research ArticleOpen accessPhrase in the titleA Two-Dimensional Wave Prediction Model Along the Best Track of Typhoon Linda 1997Worachat Wannawong, Usa W. Humphries, Prungchan Wongwises et al.Problem statement: A two-dimensional wave prediction model along the best track of Typhoon Linda 1997 was interested to study the impact of typhoon wind-wave characteristics. The dynamical wave model with deep water condition was used to predict the wave height (Hs) of Typhoon Linda before and after entering into the Gulf of Thailand (GoT). Approach: The standard one-way nested grid … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 7,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Disease Progression Model to Analyze Electronic Health Records With Multimodal Datasets Using Deep Learning TechniquesThulaganyo Dimakatso, Venumadhav Kuthadi, Rajalakshmi Selvaraj, Othapile DinakenyaneIn contemporary clinical environments, precisely simulating the emergence of disease is an intricate task owing to heterogeneously derived data and variability in the record of diagnoses. The research presents a stable classification model that integrates image data with formalized patient data to track patterns in disease through various stages. The suggested approach combines a multi-stage analytical methodology that includes systematic … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Pattern Recognition for Thresholding between Human Skin and Background in Color ImagesRafael Divino Ferreira Feitosa, Vinícius Araújo Santos, Leandro Luís Galdino de Oliveira et al.Many research works based on the tone of human skin have been developed to locate and track the human body for the purpose of recognition in color images. With respect to other techniques, some advantages of face detection based on skin color are the smaller processing time, invariant angles of rotation and the performance in semi-occluded faces. In this study … …Journal of Computer Science, Vol. 13, Issue 2 · 10 Apr 2017 · 7,927 accessesView PDFCite
InvestigationOpen accessIn the abstractDesign and Realization of Pre-Amplifier and Filters for on-Board Radar SystemN. Dinesh Kumar, R. Divya Ravali, Panchavati R. SrirekhaToday's warfare situation incorporates a considerable measure of innovative weaponry and every nation is attempting to outmaneuver the other utilizing high engineering, henceforth it is of most extreme criticalness to be at the front line of the bleeding edge innovation and having the best weapons conceivable to secure the country. One of the innovations which give the one having it … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 9 Nov 2015 · 7,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMPARATIVE STUDY OF DIFFERENT KALMAN FILTER IMPLEMENTATIONS IN POWER SYSTEM STABILITYH. H. Goh, C. W. Tai, Q. S. Chua et al.Voltage stability and voltage collapse issues have in recent years begun to constitute an unpleasant warning to the operational security of power systems. Many techniques have been investigated in order to predict the point of voltage collapse. However, there are still several restrictions due to the insufficiency of current system state information. Accompanied by the commencement of the Phasor Measurement … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 29 May 2014 · 7,197 accessesView PDFCite
Research ArticleOpen accessIn the abstractCHILD VIDEO DATASET TOOL TO DEVELOP OBJECT TRACKING SIMULATES BABYSITTER VISION ROBOTHanan Aljuaid, Dzulkifli MohamadThis study presents a Child Video Dataset (CVDS) that has numerous videos of different ages and situation of children. To simulate a babysitter’s vision, our application was developed to track objects in a scene with the main goal of creating a reliable and operative moving child-object detection system. The aim of this study is to explore novel algorithms to track … …Journal of Computer Science, Vol. 10, Issue 2 · 16 Nov 2013 · 8,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractHead Gesture Analysis using Matrix Group Displacement AlgorithmMahmoud Z. IskandaraniA novel algorithm for head gestures interpretation is designed and tested. The designed system carries out gesture detection and recognition using the MGDA algorithm, which implements random sampling and importance sampling, such technique can track head poses and estimate head positions. Problem statement: Head position is an important indicator of a person’s focus of attention, which can be used as … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,251 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Tuberculin Skin Test and Interferon Gamma Assay for the Diagnosis Latent TuberculosisAbolfazl Poorhasan, Mehdi Haghdoost, Omid MashrabiProblem statement: After HIV infection, TB is the most common cause of mortality due to a single infectious agent. Until 1985, tuberculosis cases in the world were decreasing every year, but then with the prevalence of HIV infection, TB cases are increasing every year. Obviously, with this prevalence of tuberculosis, the best way to control it is to track the … …American Journal of Infectious Diseases, Vol. 6, Issue 2 · 30 Jun 2010 · 7,311 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPLEMENTATION AND EVALUATION OF IMAGE PROCESSING TECHNIQUES ON A VISION NAVIGATION LINE FOLLOWER ROBOTWalaa E. Elhady, Heba A. Elnemr, Gamal SelimIn a fast growing industrial world, carriers are required to carry products from one manufacturing plant to another which are usually in different buildings or separate blocks. This study intends to automate this sector using vision controlled mobile robots instead of laying railway tracks which are both expensive and inconvenient. To achieve this purpose an autonomous robot with computer vision … …Journal of Computer Science, Vol. 10, Issue 6 · 1 Feb 2014 · 7,749 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Indoor Asset Tracking: IoT Integration and Machine Learning Approaches for Optimized PerformanceRafiq Hamadamin Maulud, Sadegh Abdollah AminifarIndoor asset tracking entails the surveillance and governance of the position and movement of tangible assets within enclosed spaces, including warehouses, hospitals, and workplaces. Indoor asset tracking systems employ technologies such as Radio Frequency Identification (RFID), Bluetooth Low Energy (BLE), Wi-Fi, and UWB (Ultra-Wideband) to deliver real-time visibility and precise placement of goods. This research introduces indoor asset tracking with … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,742 accessesView PDFCite