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142 articles for “Key Management”
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Review ArticleOpen accessIn the abstractReview of Fault Tolerance, Replication, and Fragmentation in Grid-Cloud Distributed SystemsMohammed Adam Kunna Azrag et al.The study investigates key aspects of data management in distributed systems, focusing on fragmentation, replication and fault tolerance. With the increasing complexity of modern applications, efficient data handling across multiple nodes has become critical. The study begins by reviewing existing literature and moves on to analyze fragmentation techniques, evaluating their role in optimizing performance and resource utilization. Replication methods are … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,796 accessesView PDFCite
Review ArticleOpen accessIn the abstractOptimization Consumption Power in Internet of Things Technology: A Systematic ReviewNur Yasmin Salleh, Mohd Kamir Yusof, Nur Farraliza MansorThis study reviews algorithms for battery optimization, focusing on estimation methods and State of Charge (SOC) algorithms, which are crucial components of Battery Management Systems (BMS) designed to reduce power consumption. With the increasing global demand for electricity driven by rapid population growth, optimizing energy use has become critical. Accurate estimation of battery capacity is essential for extending battery lifespan … …Journal of Computer Science, Vol. 21, Issue 3 · 13 Feb 2025 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractNursing Leadership Challenges and Opportunities During COVID-19 (SARS-CoV-2) Pandemic Response in ZambiaAnnette Mwansa Nkowane, Lonia Mwape, Peggy S. Chibuye, Clara TemboA nurse leader has the capacity to influence, coordinate and integrate nursing care for patients and families and advocate for the nursing profession to achieve positive health outcomes. In Zambia, nurse leaders operate at all levels of the health system and can contribute significantly to alleviating the negative outcomes of diseases of epidemic potential. The COVID-19 pandemic has provided an … …International Journal of Research in Nursing, Vol. 12, Issue 1 · 24 Dec 2021 · 7,979 accessesView PDFCite
Research ArticleOpen accessIn the abstractGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Algorithm To Determine The Maturity Improvement Plan For Information System Risk Management. Application On A Case StudySoumaya Amraoui, Mina Elmaallam, Hicham BensaidA good and relevant Risk Management process is a key issue when Information System effective governance is concerned. Therefore, several paradigms have been devised to help achieving such goal. Among these paradigms, maturity models are quite popular. The main aim of a maturity model is to help users improve their activities capability. However, one of the major challenges encountered when … …Journal of Computer Science, Vol. 15, Issue 8 · 1 Aug 2019 · 7,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractPhosphorus Availability Modulates Bradyrhizobium japonicum’s Impact on Soil Micribial Biomass and Soybean (Glycine max (L.) Merrill) Yield in Lubumbashi Tropical SoilsBen Tshibuyi Kasu-Bandi et al.Tropical soils in sub-Saharan Africa exhibit low fertility, high acidity, and limited Phosphorus (P) availability, a key nutrient for agricultural productivity and the sustainability of cropping systems. This deficiency, exacerbated by the strong fixation of P in acidic soils, not only limits plant growth but also the efficiency of the nitrogen-fixing symbiosis between soybeans (Glycine max (L.) Merrill) and Bradyrhizobium … …American Journal of Agricultural and Biological Sciences, Vol. 21, Issue 1 · 13 May 2026 · 1,980 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamics of Mobile Phosphorus and Potassium in the Soils of Agricultural Lands of Kostanay RegionAlmabek Nugmanov, Aliya Yskak, Tatiana Paramonova et al.Soil phosphorus deficiency is a growing constraint on crop productivity in the agricultural lands of the Kostanay Region, Republic of Kazakhstan, yet systematic data on the spatial dynamics of mobile phosphorus and potassium across soil types remain limited. This study assessed the availability of mobile forms of phosphorus and potassium, alongside key physicochemical properties, including soil pH and cation exchange … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 14 Apr 2026 · 1,594 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 abstractFine-Tuned and Optimized Transformer-Based Model for EEG Seizure DetectionPuspanjali Mallik, Ajit Kumar Nayak, Kumar Janardan Patra et al.Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts have been made by researchers and clinicians to develop effective methods for its early detection and management. The electroencephalogram (EEG), a non-invasive tool used to monitor brainwave activity, has become a central device … …Journal of Computer Science, Vol. 21, Issue 11 · 11 Feb 2026 · 1,412 accessesView PDFCite