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22 results for “Surveillance monitoring”
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Research ArticleOpen accessIn the keywordsAutomated Camera Monitoring System for Selective Areas of InterestNael HirzallahMonitoring a number of security cameras by security guards suffers from a number of difficulties especially when the events to be watched for may take months to occur or a large number of cameras exist. Furthermore, finding and hiring people for such tasks is usually expensive. Therefore, there are immediate needs for automated surveillance systems that save money, work in … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractParasites of Wild Animals Inhabiting the Territory of the Balkhash-Alakol Basin (Central Asia: Kazakhstan)Laura Zhanteliyeva, Nurgul Jussupbekova, Maratbek Suleimenov et al.This study presents data on the diversity and epizootiological significance of intestinal parasites in wild mammals inhabiting the arid Balkhash-Alakol Basin in southeastern Kazakhstan. The primary aim was to identify the range of parasites affecting local wildlife and assess potential zoonotic risks under natural ecological conditions. Field samples were collected non-invasively from three host species: Tolai hare (Lepus tolai), wild … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 27 Nov 2025 · 2,160 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe European Wild Boar (Sus scrofa) as a Reservoir of Tuberculosis: Ecological Drivers and Management ImplicationsGiovanna Liguori, Renato Lombardi, Fabio Castagna et al.Bovine tuberculosis (bTB), an infectious disease primarily caused by Mycobacterium bovis and other members of the Mycobacterium tuberculosis complex, represents a significant challenge to both animal and public health. Despite successful control programs in numerous regions, the presence of wildlife reservoirs, notably wild boar (Sus scrofa), impedes complete eradication and sustains disease propagation. bTB prevalence varies across Europe, with higher … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 16 Nov 2025 · 2,621 accessesView PDFCite
Research ArticleOpen accessIn the abstractSM-SCAM YOLO: Enhancing Object Detection with Multi-Scale Module and Spatial Channel Attention MechanismShanmuga Sundari Mariyappan, Kayalvizhi Mohan, K. B. K. S. DurgaDetecting tiny objects remains a significant hurdle in computer vision, primarily due to scale variation, occlusion, and the loss of detail in low-resolution features. Although YOLO-based detectors are popular for their speed and efficiency in real-time tasks, they often struggle with accurately identifying small objects because of information loss during downsampling. This study introduces an improved YOLO-based model that integrates … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman-Centric Design Integration in UAV Interfaces and Operational Procedures for Enhanced User ExperienceArun Chakravarthy R., Arun M., Sureshkumar C. et al.Unmanned Aerial Vehicles (UAVs) have become essential tools across numerous sectors, including agriculture, disaster response, search and rescue and logistics. While UAV capabilities have rapidly evolved due to technological advancements, the integration of human-centric design principles remains a key area for further improvement. This article provides an in-depth exploration of how user-focused design considerations can enhance UAV interfaces and operational … …Journal of Computer Science, Vol. 21, Issue 4 · 3 Mar 2025 · 5,237 accessesView PDFCite
Review ArticleOpen accessIn the abstractHuman Activity Prediction Studies Using Wearable Sensors and Machine LearningDivya Sharma, Usha ChauhanNowadays, Human Activity Recognition (HAR) systems have become so demanding that they find applications in the field of assisted living systems, elderly healthcare systems, smart homes, healthcare monitoring applications, surveillance systems, etc. Due to its increasing demand in computer science; machine learning and deep learning have brought a paradigm shift in the area of sensor-based recognition systems. Providing accurate information … …Journal of Computer Science, Vol. 20, Issue 4 · 14 Feb 2024 · 7,201 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpizootology and Epidemiology of Opisthorchiasis in Northern KazakhstanMarat Zhaksylykovich Aubakirov, Aida Makenovna Abdybekova, Madina Asylkhanovna Khassanova et al.The aim was to study the epizootological situation, as well as the characteristics of the territories of Kostanay and North Kazakhstan regions on fish opisthorchiasis. The object of the study is the reservoirs of Kostanay and the North Kazakhstan region (rivers Torgai, Tobol, and Ishim). To date, there is a need to develop monitoring methods to assess the epidemiological and … …OnLine Journal of Biological Sciences, Vol. 22, Issue 3 · 1 Sep 2022 · 5,714 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Object Detection Technique for Hazard Avoidance SystemsSupreet Kaur Deol, P.W.C. Prasad, Abeer Alsadoon, A. ElchouemiHazard detection and avoidance at construction sites working with heavy equipment and moving vehicles is one of the biggest issues in modern surveillance. Background subtraction using a Gaussian Mixture Model (GMM) is widely utilized for identification of moving objects with most existing methods leading to improvements but lacking accuracy of object detection. This paper aims to improve accuracy and processing … …American Journal of Applied Sciences, Vol. 15, Issue 7 · 27 Sep 2018 · 8,195 accessesView PDFCite
Literature ReviewOpen accessIn the abstractObject Tracking in Wireless Sensor Networks: Challenges and SolutionsShereen Ismail, Eman Alkhader, Said ElnaffarWireless Sensor Networks (WSNs) are small, inexpensive and battery-operated sensor nodes that are deployed over a geographical area. WSNs are used in many applications such border patrolling, military intrusion detection, wildlife animal monitoring, surveillance of natural disasters and healthcare systems. Mobile object tracking is a vital task in all these applications. The goal of this work is to highlight the … …Journal of Computer Science, Vol. 12, Issue 4 · 1 May 2016 · 7,777 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrequency of Carbapenem Resistance among Gram Negative Pathogens in a Tertiary Care Hospital in Southern PakistanWaseela Ashraf, Altaf AhmedCarbapenems are considered the treatment of choice for treating the multi-drug resistance Gram negative bacteria. But resistance to these antibiotics has increased worldwide thus limiting therapeutic options for clinicians. To investigate the frequency and Minimum Inhibitory Concentrations (MICs) of carbapenem resistance in Gram negative organisms at a tertiary care hospital in Southern Pakistan. Seven Hundred and ninety-three carbapenem resistant isolates … …American Journal of Infectious Diseases, Vol. 11, Issue 4 · 29 Oct 2015 · 7,573 accessesView PDFCite