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104 articles for “Surveillance”
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Research ArticleOpen accessIn the abstractCo-infestation of Honey Bee Colonies with Tropilaelaps mercedesae and Varroa destructor in the Republic of KazakhstanUlzhan Nuraliyeva, Gaukhar Moldakhmetova, Oleg Krupskiy et al.Beekeeping is a well-developed industry in the Republic of Kazakhstan; however, significant winter colony losses necessitate the annual import of thousands of honey bee package colonies from neighboring southern countries. The recent detection of the invasive mite Tropilaelaps mercedesae in several of these source countries poses a serious biosecurity threat to Kazakhstani apiculture. This study aimed to identify potentially infested … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 11 Apr 2026 · 1,850 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Satellite Custody of Moving Ground TargetsDavid SchusterMaintaining persistent custody of ground targets from Low Earth Orbit (LEO) is a key challenge in space-based surveillance and reconnaissance. Traditional rule-based tasking strategies struggle with scalability as the number of assets and targets grows. In this paper, we present a centralized Reinforcement Learning (RL) approach using Proximal Policy Optimization (PPO) to coordinate four LEO satellites tasked with tracking two … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multi-Modal Image Fusion Approach for Visual and Infrared Images via Shearlet-Based DecompositionApoorav Sharma, Shagun Sharma, Kalpna Guleria et al.The integration of optical lens technologies with night vision has become necessary due to the increasing demand to enhance public safety and surveillance, particularly in vulnerable areas, public transportation, and airports. Due to vision clarity issues or the lack of thermal information, conventional single-modality systems often fail to detect concealed dangers. This research presents a multimodal image fusion architecture that … …Journal of Computer Science, Vol. 22, Issue 1 · 2 Feb 2026 · 1,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Review ArticleOpen accessIn the abstractSome Aspects of Modern DronesRelly Victoria Virgil PetrescuToday drones have become so important that everyday life can no longer be conceived without them. The paper wishes to present some essential aspects regarding modern drones, their capabilities and their uses. Drones and minnies drones have penetrated deep into technology, industry, agriculture, the military and police area, security services, security and control, aerial surveillance, signaling, aerial filming, cartography, danger … …Journal of Aircraft and Spacecraft Technology, Vol. 5, Issue 1 · 16 Jun 2021 · 8,444 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
Research ArticleOpen accessIn the abstractEnhancing Sistem Komunikasi Markas (Siskomma) in IS/IT Architecture Planning to Face Modern Warfare: A TOGAF Based Approach for National Defense Data Integration in the Indonesian ArmyYosua Dwimaryanto Budi Prawiro, Nilo LegowoIn the era of modern warfare, effective Information Systems (IS) and Information Technology (IT) architecture planning are essential for the Indonesian Army to maintain a competitive edge. This paper presents a comprehensive approach to IS/IT architecture planning, focusing on integrating national defense data within the Indonesian Army organization. Utilizing the TOGAF (The Open Group Architecture Framework) approach, the research aligns … …Journal of Computer Science, Vol. 21, Issue 8 · 24 Nov 2025 · 1,829 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 abstractDistributed Vehicle Tracking System Using Image Processing TechniquesIehab Abdul Jabbar Kamil, Mohanad Abdulsalam Al-AskariIn this part of the research, an implementation of a distributed vehicle tracking system that uses image processing techniques for real-time automobile surveillance is done. The system uses OpenCV, Pytesseract and Optical Character Recognition (OCR) for the extraction of the license plate information from vehicle images to identify and track vehicles. By doing so, distributed computing enables the system to … …Journal of Computer Science, Vol. 21, Issue 8 · 9 Oct 2025 · 2,263 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnomaly Detection Based on Vision Transformer Model and Texture FeaturesMohammed Lahraichi, Abdelhafid Berroukham, Khalid HousniAnomaly detection is one of the video surveillance applications,which aims to detect and analyze abnormal behaviors and risky situations inorder to prevent accidents. Various deep learning models have beenpreviously developed for this purpose, such as CNN, RNN, and VisionTransformer, each one has its strengths and weaknesses based on the qualityof input data. This paper proposes a novel approach based on … …Journal of Computer Science, Vol. 21, Issue 7 · 10 Jul 2025 · 3,682 accessesView PDFCite