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Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches
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A Feedback-Assisted Inverse Neural Network Controller for Cart-Mounted Inverted Pendulum
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Neural network backstepping control of OWC wave energy system
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Predicting the Activity Level of the Great Gerbil (Rhombomys opimus) via Machine Learning
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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids.
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A novel multi-task learning model based on Transformer-LSTM for wind power forecasting
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality
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Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model
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Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite
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