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36 results for “Target Detection”
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Research ArticleOpen accessPhrase in the titleResearch on Cotton Top Bud Target Detection Algorithm Based on Improved RetinaNetJikui Zhu, Shijie Lin, Fengkui Zhang et al.To solve the problems of low accuracy and high miss rate in the recognition of cotton apical buds during mechanical topping, an enhanced method based on the RetinaNet network is proposed for the accurate identification of cotton apical buds under natural light. The traditional RetinaNet algorithm is validated to improve the recall rate and average accuracy of cotton apical bud … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 17 Apr 2024 · 5,128 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Distributed Coverage and Target Tracking Algorithm for Wireless Sensor NetworksM. Senthamilselvi, N. DevarajanProblem statement: Due to communication, processing and energy constraints, tracking in sensor networks creates different challenges. Since existing algorithms utilized the information from all the sensors for tracking, it results in higher expenditure of energy and reduced lifetime for the network. Approach: We propose to develop a distributed coverage and target tracking algorithm for wireless sensor networks. Tracking issue is … …Journal of Computer Science, Vol. 8, Issue 3 · 6 Jan 2012 · 6,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Monitoring of Endocrine-Disrupting Chemicals: Analytical Chemistry and Biological Assessment ApproachesChangjin Li, Jing Huo, Zijun Dou et al.Endocrine-Disrupting Chemicals (EDCs) in aquatic environments pose significant threats to ecosystems and human health. These compounds interfere with hormonal regulation at low concentrations and have non-monotonic dose-response relationships, posing challenges to conventional risk assessment. This review systematically compares current EDC monitoring methods, including instrumental chemical analysis and receptor-based biological detection systems, to evaluate sensitivity thresholds, sample throughput, and mechanistic selectivity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,081 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Enhanced Algorithm for Small Object Detection based on Thermal Imaging Using YOLOv8-EPBRavina Gupta, Sarika Jain, Manoj KumarObject detection is one of the most important and challenging problems in the computer vision domain. Using the power of deep models, researchers have carefully explored and made significant contributions to increasing the effectiveness of object detection and related tasks, such as object identification, localization, and segmentation. This progress is due to the rapid progress of deep learning in the … …Journal of Computer Science, Vol. 21, Issue 6 · 13 Jun 2025 · 4,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractCheating Detection in Examinations Using Improved YOLOv8 with Attention MechanismYan Zuo, Soo See Chai, Kok Luong GohExaminations are among the most widely used and effective methods for assessing knowledge mastery, both domestically and internationally, and are extensively used in various talent-selection processes. Currently, offline exam venues usually rely on on-site manual invigilation combined with exam-monitoring videos to further strengthen invigilation efforts. However, this invigilation method not only utilizes large amounts of human and material costs but … …Journal of Computer Science, Vol. 20, Issue 12 · 6 Nov 2024 · 6,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractLung Cancer Detection Using Regularized Extreme Learning Machine and PCA FeaturesK. Kavitha, Dr. V. Saravana Kumar, V. Bhoopathy et al.When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to improve images for early detection and treatment stages. In the setting of cancer, where time is of the essence in detecting anomalies within medical imaging, our research takes on further urgency. In … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,302 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrends in the Causes of Meningitis/Encephalitis Analyzed Using the BioFire FilmArray PanelYoung Jun Hong, Bo Kyeung Jung, Jae Kyung KimCerebrospinal Fluid (CSF) infections can be caused by various pathogens, including bacteria, viruses, and fungi. Therefore, accurate and timely detection of infectious agents is critical for the effective treatment of CSF infections. The FilmArray Meningitis/Encephalitis (M/E) panel is a potential complementary diagnostic tool for detecting CSF pathogens. The aim of this study was to identify trends in the causes of … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 25 Jul 2024 · 4,884 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlcohol Intubation and Synergistic Effect of Folic Acid and Egg Yolk Powder Solution on Alcohol Dehydrogenase [ADH] Class I Gene Expression and Single Nucleotide Polymorphism Frequency in Parent and Prenatal Alcohol Exposed Wistar RatsAdejoke Olukayode Obajuluwa, Oluyinka Ajibola Iyiola, Joseph Akintade Morakinyo et al.Point mutation detections in alcohol metabolizing genes could unravel molecular targets of gestational alcohol and epigenetic remodeling capacity of maternal nutrition, which underscores growth and health endpoints in Pre­natal Alcohol Exposed (PAE) fetuses. gene expression was assayed using sequenced target and internal control gene primers in a two-step thermal cycling process from isolated RNA in purely bred alcohol male and … …OnLine Journal of Biological Sciences, Vol. 24, Issue 1 · 22 Nov 2023 · 4,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadar Cross Section Modelling and Analysis of Static and Dynamic Targets using MATLABPunam Pande, Sreemathy R, Mousami TurukRadar Cross Section (RCS) is an important characteristic of the electromagnetic system for target detection. This study presents detailed modelling of Radar Cross Section (RCS) of static simple objects like sphere, cylinder, triangular plate, circular flat plate, truncated cone and complex objects using MATLAB Radar toolbox. The RCS modelling of simple objects is also done with MATLAB POFACET GUI 4.3 … …Journal of Aircraft and Spacecraft Technology, Vol. 6, Issue 1 · 21 Mar 2022 · 11,024 accessesView PDFCite