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54 results for “Local Approaches”
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Research ArticleOpen accessEvery word in the titleParticipatory Territorial Approaches: The Municipal Culture Agendas, Identity and Local KnowledgeAlejandro Noboa, Mariano Suárez, Natalie RobainaThis article offers a global presentation on the participatory process of elaboration of the Municipal Agendas of Culture taken from thirty-eight Municipalities of twelve Uruguayan regions; they were designed with the participation of great diversity of local participants between the months of August and December of 2017. The article gathers the synthesis of the conceptual framework, summarizes the work methodology, … …Journal of Social Sciences, Vol. 16, Issue 1 · 19 Feb 2020 · 7,582 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Review of the Fatigue Strength of Load Carrying Shear Welded JointsFilippo Berto, Abedin Gagani, Relly Victoria V. Petrescu, Florian Ion T. PetrescuIn the study it is shown an overview of the latest results of two types of joints of the load carrying welded shear. Tests of fatigue have been carried out on the two solutions specific design features proposed and with the aim of improving the resistance of the joints under cycling loading. By hiring the 3D models, was determined Strain … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 2 Jan 2017 · 7,731 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Agent Energy Allocation Optimization in Local Energy Communities: A Comparative StudyAmira Dhorbani, Dhaker Abbes, Benoît Robyns, Kahina Hassam OuariThe growing diversity of energy demands, combined with the integration of renewable and distributed energy systems, calls for more adaptive energy management strategies. This study presents a comparative simulation-based analysis of three energy management approaches applied to a local energy community: A Multi-Agent System (MAS), a centralized rule-based method, and a game-theory-based optimization using the Alternating Direction Method of Multipliers … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 30 Dec 2025 · 3,381 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver AbnormalitiesK MalaThe liver is the most frequently injured intra-abdominal organ that leads to complications. Visual interpretation depends on the expertise, and this justifies the need for automatic accelerated assistive prediction system. Classical and Quantum machine learning approaches are combined to leverage their benefits, and the feasibility of designing a novel system is explored. This approach successfully ends up with health care … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Diversity of Isolated Mycobacterial Cultures in the Republic of Kazakhstan: Implications for Diagnostics and TreatmentAssiya Borsynbayeva, Kairat Turgenbayev, Gulzhauhar Sarsenova et al.The study of mycobacterial morphology in the Republic of Kazakhstan is relevant due to the increasing burden of tuberculosis and other mycobacterial diseases. The aim of this study was to comprehensively describe the morphological characteristics of different mycobacterial species identified in Kazakhstan, which will help to improve diagnostic methods and develop new approaches to treatment. Comparative and cross-cultural analyses were … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 1 Dec 2025 · 2,203 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnleashing the Power of Image Denoising: A Comprehensive Review of Classical to Deep Learning MethodsArchana Saini, Ayush DograImage denoising is a vital step in many image processing and computer vision professions that aims to improve picture quality by decreasing noise while maintaining important image information. In this article, a detailed overview is presented of traditional and deep learning based picture denoising approaches. Classical methods, such as linear filtering, transform domain techniques, and patch-based approaches like Non-Local Means … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 3,107 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Metaheuristic Algorithm for Diseases Classification Using UAV ImagesYagnasree Sirivella, Anuj JainRecent advances in technology are very astounding since they have made it possible to manage and monitor systems remotely. Traditional farming is undergoing a transition towards "smart farming" with the assistance of technological breakthroughs, which include the implementation of intelligent irrigation systems and the remote monitoring of the development of crops. In particular, the Unmanned Aerial Vehicle plays a significant … …Journal of Computer Science, Vol. 19, Issue 10 · 11 Sep 2023 · 5,251 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Anomaly Detection Approach for Nifty Stocks using Machine Learning for Construction of Efficient Portfolio to Reduce Losses and Protect GainsVirrat Devaser, Priyanka ChawlaMachine Learning is the most essential and widely utilized methodological approach these days for performing, organizing, and analyzing data using a variety of approaches to produce correct and efficient results. Machine learning methodologies are also applicable to stock markets, which have grown multi-fold in recent years, and with the amount of money involved, the possibility of manipulation is always present … …Journal of Computer Science, Vol. 18, Issue 5 · 6 Jun 2022 · 6,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 599 accessesView PDFCite
Research ArticleOpen accessIn the abstractFL-CARE: Federated Learning-Based Contention-Aware and Energy-Balanced Routing for Dense FANETsHalimjon Khujamatov, Elyanora Jolimbetova et al.In dense multi-drone FANET environments, routing efficiency is often reduced due to constant competition for a wireless channel, frequent changes in network topology, and uneven energy consumption between UAV nodes. These factors lead to a decrease in the packet delivery ratio, an increase in delays on the busiest or most unstable routes, and a reduction in the total network lifespan. … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,172 accessesView PDFCite