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247 results for “Detection Techniques”

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Research ArticleOpen accessAll words, across the recordThe Use of Remote Sensing Techniques in Detecting and Predicting Forest Vegetation Change Using MODIS Satellite Data, Golestan, IranAkram Karimi, Sara Abdollahi, Hamid Reza Kabiri Balajadeh et al.It is so important to be aware of quantitative and qualitative characteristics of changes for the environment, land use planning and sustainable development. Detecting the changes in the condition of an issue is done by time difference observations. Change detection refers to the process of detecting time changes of an object through different time observations. The detection of changes by … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 30 Mar 2018 · 8,287 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordWhale Optimized Deep Generative Adversarial Network Based Alzheimer's Stages Detection Using 3D MRI Brain NeuroimagingR. Sampath, M. BaskarAlzheimer's Disease (AD), a common, chronic neurodegenerative condition, is characterized by the loss of neurons and synapses in the cerebral cortex and specific subcortical regions. According to claims from a recent study, AD has a 20% misdiagnosis rate. Therefore, it is essential to create a useful tool to recognize the stages of AD with a lower prediction error rate to … …Journal of Computer Science, Vol. 19, Issue 8 · 4 Aug 2023 · 5,544 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEarly Detection of Endobacteria in Rhizopus spp.Ratna Noviyanti, Gayuh Rahayu, Rida Oktorida KhastiniRhizopus spp. are commonly used in bio-industrial processes such as manufacturing traditional fermented foods. However, one species, R. microsporus has been reported to contain toxin-producing endobacteria. Therefore, it is essential to evaluate the Rhizopus strains' safety before application as tempe inoculum. The study aimed to detect the presence of endobacteria from seven strains of Rhizopus spp. isolated from Tempe and … …OnLine Journal of Biological Sciences, Vol. 23, Issue 3 · 24 Jun 2023 · 5,331 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPedestrian Recognition Based on Multi-Scale Weighted HOGMonther Hussein Al-BsoolPedestrian recognition receives a great attention in recent years due to its importance in traffic accidents identification. Traffic surveillance systems can provide valuable information for pedestrian recognition using computer vision and image processing techniques. Most techniques exploit simple feature extraction and multi-stage feature matching to train classifiers. In this study, Canny edge information and Histogram of Oriented Gradient (HOG) has … …Journal of Computer Science, Vol. 14, Issue 11 · 7 Nov 2018 · 7,158 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimization Techniques To Record DeduplicationDeepa Karunakaran, Rangarajan RangaswamyDuplicate record detection is important for data preprocessing and cleaning. Artificial Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. Our approach to duplicate detection is the use of ABC algorithm for generating the optimal similarity measure to decide whether the data is duplicate or not. In … …Journal of Computer Science, Vol. 8, Issue 9 · 11 Aug 2012 · 7,741 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPerformance Comparison of Active Queue Management TechniquesT. B. Reddy, A. AhammedCongestion is an important issue which researchers focus on in the Transmission Control Protocol (TCP) network environment. To keep the stability of the whole network, congestion control algorithms have been extensively studied. Queue management method employed by the routers is one of the important issues in the congestion control study. Active Queue Management (AQM) has been proposed as a router-based … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,193 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordXAI_MLPCNN: A Novel Explainable AI-Based Deep Learning Framework for Stress IdentificationFateh Bahadur Kunwar, Rakesh Kumar Yadav, Hitendra Singh, Nitin TripathiOver the past ten years, there has been a lot of emphasis focusedon the development of Artificial Intelligence (AI) and Machine Learning(ML)-based mental health treatments. To increase practitioners' and patients'trust in AI applications, AI systems need to explain their actions. This iscalled Explainable AI (XAI). While significant progress has been achievedin stress prediction models, XAI has not advanced as much. … …Journal of Computer Science, Vol. 21, Issue 5 · 6 May 2025 · 6,161 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordSegmentation Methods of Echocardiography Images for Left Ventricle Boundary DetectionSamaneh Mazaheri, Rahmita Wirza, Puteri Suhaiza Sulaiman et al.Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge. This paper surveys state-of-the-art researches on echocardiography data segmentation methods, concentrating on methods techniques developed for clinical data. We present a classification of methodologies for echocardiography image segmentation. By choosing ten recent papers which have … …Journal of Computer Science, Vol. 11, Issue 9 · 6 Dec 2015 · 7,054 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUBIQUITOUS PALM DISPLAY AND FINGERTIP TRACKER SYSTEM USING OPENCVSathish Sekar, Shriram K. Vasudevan, Kaushik Velusamy et al.Ubiquitous Computing is the idea of embedding computation onto everyday objects of the environment we live in. It’s the approach towards making technology and computation available everywhere thereby making people interact with abundant information around them in a more natural and friendly manner. Our project, the palm display system is one such approach of using one’s palm as the graphical … …Journal of Computer Science, Vol. 10, Issue 3 · 22 Nov 2013 · 6,925 accessesView PDFCite
Literature ReviewOpen accessAll words, across the recordA Comprehensive Survey on Tools for Effective Alzheimer’s Disease DetectionN. Vinutha, G. U. Vasanthakumar, P. Deepa Shenoy, K. R. VenugopalNeuroimaging is considered as a valuable technique to study the structure and function of the human brain. Rapid advancement in medical imaging technologies has contributed significantly towards the development of neuroimaging tools. These tools focus on extracting and enhancing the relevant information from brain images, which facilitates neuroimaging experts to make better and quick decision for diagnosing enormous number of … …Neuroscience International, Vol. 9, Issue 1 · 4 Oct 2017 · 10,232 accessesView PDFCite