Energy regeneration: A study on dynamic capacitance adjustment technology in piezoelectric shock absorbers for electric vehicles under varied road conditions. Tekijä Shih-Lin Lin

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Deep learning-based state of charge estimation for electric vehicle batteries: Overcoming technological bottlenecks Tekijä Shih-Lin Lin

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Application Combining VMD and ResNet101 in Intelligent Diagnosis of Motor Faults Tekijä Shih-Lin Lin

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The Application of Machine Learning ICA-VMD in an Intelligent Diagnosis System in a Low SNR Environment Tekijä Shih-Lin Lin

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Research on tire crack detection using image deep learning method Tekijä Shih-Lin Lin

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Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet Tekijä Shih-Lin Lin

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Technique on Vehicle Damage Assessment After Collisions Using Optical Radar Technology and Iterative Closest Point Algorithm Tekijä Shih-Lin Lin, Yi-Hsuan Chen

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Application of Kalman Filter to Improve 3D LiDAR Signals of Autonomous Vehicles in Adverse Weather Tekijä Shih-Lin Lin, Bing-Han Wu

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Enhancing Lidar-Based 3D Classification Through an Improved Deep Learning Framework With Residual Connections Tekijä Shih-Lin Lin, Jun-Yi Wu

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Improving Deep Learning for Forecasting Accuracy in Financial Data Tekijä Shih-Lin Lin, Hua-Wei Huang

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