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Optimization of Rock-Cutting Tools: Improvements in Structural Design and Process Efficiency
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Feasibility of Conoscopic Holography Measurement in the Stereolithography (SLA) Process with Alumina
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ElectroCom61: A multiclass dataset for detection of electronic componentsMendeley Data
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Diagnostic Techniques and Artificial Intelligence for Multiple Sclerosis Identification
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Multiscale Convolutional Neural Networks for Hand Detection
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The Future of Vineyard Irrigation: AI-Driven Insights from IoT Data
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A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants
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Intelligent Damage Prediction During Vehicle Collisions Based on Simulation Datasets
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An Ensemble Learning Approach for Drought Analysis and Forecasting in Central Bangladesh
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Event recognition technology and short-term rockburst early warning model based on microseismic monitoring and ensemble learning
Published 2025-05-01“…The rockburst early warning model V-soft achieves peak accuracy and F1 scores of 0.9394 and 0.9173, respectively, demonstrating performance improvements of 6.59–15.68% in accuracy and 14.11–27.21% in F1 score compared to conventional machine learning algorithms and ensemble classifiers. …”
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