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142 results for “Data Availability”

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Research ArticleOpen accessIn the abstractStable Isotope Diet Reconstruction of Feral Horses on the Sheldon National Wildlife Refuge, Nevada, USAMegan K. Nordquist, Todd F. Robinson, Gail H. Collins et al.Feral horse management has become a subject of significant controversy in the United States, resulting in part from opposing views of best management practices and limited empirical data. Feral horse densities increase in response to high reproductive rates and limited horse removal. with this increase, land managers are challenged with accurately quantifying horse diet selection and subsequent impacts on western … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 2 · 4 Mar 2024 · 5,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Approaches for the Prediction of Gas Turbine TransientsArnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi et al.Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 7,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Big Data Classifier for Biomedicine Early Diagnosis: An Experimental Approach Using Machine Learning MethodsMa Beth Solas Concepcion, Bobby Dioquino Gerardo, Frank Ibañez Elijorde et al.In the fast-phase world, data availability is abundant due to a rapid adaptation increase of big data technologies. Large amounts of data have been generated and collected at an unprecedented speed and scale, introducing a revolution in medical research practices for biomedicine informatics. Thus, there is an immense demand for statistically rigorous approaches, especially in the medical diagnosis discipline. Therefore, … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,510 accessesView PDFCite
Review ArticleOpen accessIn the abstractHybrid Machine Learning Framework with Data Analytics Model for Privacy-Preserved Intelligent Predictive Maintenance in Healthcare IoTArun Ganji, D. Usha, P.S. RajakumarFederated Learning (FL) is a cutting-edge approach for developing machine learning (ML) models using distributed datasets while preserving data privacy and ownership. FL is particularly suited for Internet of Things (IoT) networks due to its decentralized nature, which supports In-Edge AI and maintains data locality. However, FL's complexity poses challenges in analyzing system health, making it crucial to develop robust … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,821 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Grasshopper Optimization Scheduling Algorithm (AGOSA) for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe multi-cloud scheduling problem refers to the challenging task of efficiently allocating and managing resources across multiple cloud environments, involving the optimization of task scheduling, resource allocation to minimize makespan, reduce resource costs, and handle the complexity of multi-cloud environments while making optimal scheduling decisions. To overcome this issue. The paper proposes a novel scheduling algorithm, the Advanced Grasshopper Optimization … …Journal of Computer Science, Vol. 21, Issue 10 · 24 Nov 2025 · 2,646 accessesView PDFCite
Research ArticleOpen accessIn the abstractBurden of Early Pregnancy and Reach of Cash Incentive Scheme for Promoting Institutional Delivery in IndiaAnjali Srivastava, Priyanka Ribhu, Purujit PraharajThe burdenof early pregnancy and high out-of-pocket costs necessitate the use ofinstitutional care, qualified medical staff, and financial incentives to boostthe quality of maternal health services. In response, the Indian governmentintroduced the Janani Suraksha Yojana (JSY) scheme in2005, which offers cashtransfers to underprivileged women using public health facilities for childdelivery. Using the data from the National Family Health Survey-5 and … …Journal of Social Sciences, Vol. 21, Issue 1 · 5 Jun 2025 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivalent Optimizer-Based Hybrid Genetic Algorithm for Task Scheduling in Cloud ApplicationsMeena Malik, Bhavna Gupta, Chander Prabha et al.Cloud computing platforms provide on-demand online services without the need for direct user management. Generally, big clouds distribute functions over multiple data centers at distant locations. The major facilities offered by clouds are based upon virtual machines which provide benefits in terms of low scheduling cost, improved accessibility and availability of cloud services. While transferring the tasks for effective scheduling, … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractPhishing Website Detection Using Improved Multilayered Convolutional Neural NetworksHadia Bibi, Syed Rehan Shah, Mirza Murad Baig et al.The internet has become an essential part of many fields: Communication, entertainment, commerce, industrial production, agriculture, etc. Unfortunately, online users are vulnerable to various attacks; this could lead to financial damages and loss of personal information. Phishing is seen as an internet threat and a cybercrime where anyone can capture personal information and data by posing as a reliable source. … …Journal of Computer Science, Vol. 20, Issue 9 · 6 Jul 2024 · 6,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approach to Mitigate DDoS Attacks in SDNHema Surendrakumar Dhadhal, Paresh Kotak, Parvez Faruki, Atul GonsaiThe rise of Distributed Denial of Service (DDoS) attacks remains a significant obstacle to network security and availability. This abstract presents a new hybrid model for DDoS mitigation in Software-Defined Networking (SDN) environments, combining a Semi-supervised Deep Extreme Learning Machine (Semi-Deep ELM) with a hybrid architecture. SDN's centralized control and programmability create an ideal platform for implementing advanced mitigation strategies. … …Journal of Computer Science, Vol. 20, Issue 9 · 5 Jul 2024 · 5,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Palm Kernel Cake Based Biosupplement Biscuits on Nutrient Utilization, Growth Performance, and Metabolic Responses in Male Ettawah GoatsTintin Rostini, Suharlina, Achmad Jaelani et al.Palm Kernel Cake (PKC), a major by-product of the palm oil industry, has considerable potential as an alternative feed ingredient for ruminants because of its wide availability, moderate protein content, and economic value. However, its utilization is often constrained by high fiber and lignocellulosic components that may limit nutrient digestibility. This study evaluated the effects of PKC-based biosupplement biscuits as … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 3 · 22 Oct 2026 · 312 accessesView PDFCite