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80 results for “Performance Indicator”

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Research ArticleOpen accessIn the abstractEffect of Distance of the Submerged Vanes from the Outer Bank on Sediment Movement within 180° BendJaafar S. Maatooq, Barq A. AdhabA small aspect ratio of submerged vanes when used near the outer bank at the angle of attack between 10° to 20° and at the initial height above the bed between 20-40% of flow depth is considered one of the most successful river training structures. Vanes when located within the bends of river, produces helical swirls at inverse action with … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 3 Jul 2017 · 7,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Telecommunication Network Management with Autonomous Optimization Agents and Machine LearningDanny Adil Sibarani, Evaristus Didik MadyatmadjaThis study explores the integration of Machine Learning (ML) and Autonomous Optimization Agents (AOAs) in the management and optimization of Radio Access Networks (RAN). The research addresses the growing challenges posed by the need for skilled network experts capable of managing and analyzing large-scale network data, including Key Performance Indicators (KPIs) and thousands of network configuration parameters. To overcome these … …Journal of Computer Science, Vol. 21, Issue 2 · 4 Mar 2025 · 7,047 accessesView PDFCite
Research ArticleOpen accessIn the abstractEconomic Evaluation of Standalone Hybrid PV–H2 with Storage SystemAdeyinka Victor Adebayo, Samuel Oladeji, Hussein Kehinde Adebayo, Ismaheel Oyeyemi OladejoThis study evaluates the economic performance of a standalone hybrid PV-H2 system with battery storage for small-scale electricity demand. The methodology involves comparing various configurations of standalone PV, storage, and hybrid PV-H2 systems under different discount rates and evaluation periods. Economic indicators such as Net Present Value (NPV), Payback Period, and Discounted Annualized Return (AAR) determine financial viability. Results indicate … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 4 Mar 2025 · 7,123 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Evaluation of Coffee Leaf Disease Classification and Recognition Based on Machine Learning and Deep Learning AlgorithmsKacoutchy Jean Ayikpa et al.Coffee plant diseases constitute a significant danger to world coffee production, and the greatest challenge is to detect these diseases as early as possible to save the crop. Traditional methods are most often based on visual observations, often with errors in diagnosing diseases. Machine Learning has become a tool that presents itself as an alternative for automatically identifying plant diseases. … …Journal of Computer Science, Vol. 18, Issue 12 · 10 Dec 2022 · 6,994 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Antibodies Against Bovine Herpes Virus 1, Bovine Viral Diarrhea Virus and Bovine Respiratory Syncytial Virus in Early and Ultra-Early Weaned Beef CalvesDiego Daniel Gonzalez, Juan Sebastian Vittone, Martin Lado et al.Bovine respiratory disease is the leading cause of morbidity and mortality in weaned calves. In Argentina, two weaning practices have been implemented. In the early weaning, the calf is removed from the cow at 60-70 days of age while in ultra-early weaning the calf is weaned at 30-45 days of age. The purposes of both systems is to improve cow … …American Journal of Animal and Veterinary Sciences, Vol. 8, Issue 4 · 29 Oct 2013 · 8,388 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Electrically Inspired Low Emission Microcontroller Based Hybrid VehicleM. Habib Ullah, T. S. Gunawan, Sharif M. Raihan, Riza MuhidaProblem statement: Recently, influx of research afford is being concentrated in automobile engineering to develop low emission hybrid electric vehicle to reduce the greenhouse gases such as hydro-carbons, carbon monoxide, carbon dioxide, produces from the vehicle. Approach: Hybrid Electric Vehicles (HEVs) powered by electric machines and an Internal Combustion Engine (ICE) are a promising mean of reducing emissions and fuel … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,200 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvolving Fuzzy Neural Network for Phishing Emails DetectionAmmar ALmomani, Tat-Chee Wan, Altyeb Altaher et al.One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been trained on old dataset, not included in black list. Accordingly, the current paper seeks to Detection and Prediction of unknown “zero-day” phishing Emails by provide a new … …Journal of Computer Science, Vol. 8, Issue 7 · 4 Jun 2012 · 8,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of the Activity of Plant Extracts in Boer GoatsM. Worku, R. Franco, J. H. MillerProblem statement: The effect of extracts from Neem (Azadirachta indica), Wormwood (Artemisia absinthium) and Tobacco (Nicotiana tabacum) with added copper sulfate, on female Boer goats infected with gastrointestinal parasites (GIN) was evaluated. Approach: Following initial screening for infection, animals were artificially infected with a mix containing approximately 80% Haemonchus contortus and 20% Trichostrongylus spp. After 21 days, fecal samples were … …American Journal of Animal and Veterinary Sciences, Vol. 4, Issue 4 · 21 Dec 2009 · 8,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnomaly Detection in Electroencephalogram Signals Using Unconstrained Minimum Average Correlation Energy FilterAini Hussain, Rosniwati Ghafar, Salina Abdul Samad, Nooritawati Md TahirProblem statement: Electroencepharogram (EEG) is an extremely complex signal with very low signal to noise ratio and these attributed to difficulty in analyzing the signal. Hence for detecting abnormal segment, a distinctive method is required to train the technologist to distinguish the anomalous in EEG data. The objective of this study was to create a framework to analyze EEG signals … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 7,329 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of the Work Environment on the Safety Performance and Safety Management Practices: Its Influence on the Attitudes of Nurses in the Jordanian HospitalsAbdallah Ashour, Zuraida HassanThis study employs an integrated model, combining management practices studies and social theories, to examine the safety management practices and behavioural safety of Jordanian nurses from public hospitals. Our research employs Partial Least Squares (PLS-SEM) regression analysis to test the model. Hedonic value and utilitarian value are proposed as first-order reflective indicators of second-order formative value construct. The role of … …American Journal of Applied Sciences, Vol. 16, Issue 11 · 24 Dec 2019 · 7,612 accessesView PDFCite