火光在摇曳 发表于 2025-3-26 21:52:13
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Support Vector Machine and K-fold Cross-validation to Detect False Alarms in Wind Turbines, based on machine learning efficiently categorize large volumes of complex data. K-Fold cross-validation is a competent tool for measuring the success rate of classification algorithms. The purpose of this research is to compare the performance of various kernel functions for the support vector mach碎石 发表于 2025-3-27 07:13:20
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Multi-Criteria Decision-Making for Sustainable Transport: A Case Study on Traffic Flow Prediction Uis elucidated using multi-criteria decision-making analysis (MCDA), a discipline of Operation Research (OR) which is in a wide range of applications and practices in real-time traffic engineering. The principle criteria considered in the study of short-term prediction of traffic flow rate are spatiaLAY 发表于 2025-3-27 18:48:22
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A Descriptive Comprehension Study on Solar Energy, Solar Products, and Solar Products Marketing in nnect them to know their applicable part. The research gap of solar product marketing is also well focused. Geographically, India is an ideal country for solar energy. Despite India is having the potential power to tap solar energy at mass level; however, the solar product users are very less, which