Emboli stroke following migration of carotid foreign body: A case report by Che-Cheng Chang, Han-Cheng Wang

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Autonomous Driving Control Based on the Technique of Semantic Segmentation by Jichiang Tsai, Che-Cheng Chang, Tzu Li

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Machine learning strategy for identifying altered gut microbiomes for diagnostic screening in myasthenia gravis by Che-Cheng Chang, Che-Cheng Chang, Che-Cheng Chang, Tzu-Chi Liu, Chi-Jie Lu, Chi-Jie Lu, Chi-Jie Lu, Hou-Chang Chiu, Hou-Chang Chiu, Wei-Ning Lin

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URNet: An UNet-Based Model with Residual Mechanism for Monocular Depth Estimation by Hoang-Thanh Duong, Hsi-Min Chen, Che-Cheng Chang

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IoV-Based Collision Avoidance Architecture Using Machine Learning Prediction by Che-Cheng Chang, Yee-Ming Ooi, Bing-Herng Sieh

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Accuracy Improvement of Autonomous Straight Take-off, Flying Forward, and Landing of a Drone with Deep Reinforcement Learning by Che-Cheng Chang, Jichiang Tsai, Peng-Chen Lu, Chuan-An Lai

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Autonomous Driving Control Using the DDPG and RDPG Algorithms by Che-Cheng Chang, Jichiang Tsai, Jun-Han Lin, Yee-Ming Ooi

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Changes in Physical Fitness and Body Composition Associated with Physical Exercise in Patients with Myasthenia Gravis: A Longitudinal Prospective Study by Che-Cheng Chang, Yen-Kung Chen, Hou-Chang Chiu, Jiann-Horng Yeh

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10-Point CT-ASPECTS-based reperfusion therapy for unknown onset stroke by Che-Cheng Chang, Hsu-Ling Yeh, Chen-Yu Hsiao, Li-Ming Lien

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Comparative Evaluation of Different following Mechanisms in VR Guided Tour: A Preliminary Study by Hung-Yu Tsai, Ming-Han Tsai, Ting-Hui Chiang, Che-Cheng Chang

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Development of a lightweight convolutional neural network-based visual model for sediment concentration prediction by incorporating the IoT concept by Cheng-Chia Huang, Che-Cheng Chang, Chiao-Ming Chang, Ming-Han Tsai

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Positioning Improvement with Multiple GPS Receivers Based on Shallow Asymmetric Neural Network by Che-Cheng Chang, Yee-Ming Ooi, Yu-Chun Chen, Jhe-Wei Lin

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Attention-Based Background/Foreground Monocular Depth Prediction Model Using Image Segmentation by Ting-Hui Chiang, Meng-Hsiu Chiang, Ming-Han Tsai, Che-Cheng Chang

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Assessment of Sarcopenia and Obesity in Patients with Myasthenia Gravis Using Dual-Energy X-ray Absorptiometry: A Cross-Sectional Study by Che-Cheng Chang, Yen-Kung Chen, Hou-Chang Chiu, Jiann-Horng Yeh

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Autonomous Driving Control Based on the Perception of a Lidar Sensor and Odometer by Jichiang Tsai, Che-Cheng Chang, Yu-Cheng Ou, Bing-Herng Sieh, Yee-Ming Ooi

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Utilizing Ensemble Learning to Improve the Distance Information for UWB Positioning by Che-Cheng Chang, Yee-Ming Ooi, Shih-Tung Tsui, Ting-Hui Chiang, Ming-Han Tsai

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Explainable machine learning model for identifying key gut microbes and metabolites biomarkers associated with myasthenia gravis by Che-Cheng Chang, Tzu-Chi Liu, Chi-Jie Lu, Hou-Chang Chiu, Wei-Ning Lin

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Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms by Che-Cheng Chang, Jiann-Horng Yeh, Yen-Ming Chen, Mao-Jhen Jhou, Chi-Jie Lu

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Assessing the length of hospital stay for patients with myasthenia gravis based on the data mining MARS approach by Che-Cheng Chang, Che-Cheng Chang, Jiann-Horng Yeh, Jiann-Horng Yeh, Jiann-Horng Yeh, Hou-Chang Chiu, Hou-Chang Chiu, Tzu-Chi Liu, Yen-Ming Chen, Mao-Jhen Jhou, Chi-Jie Lu, Chi-Jie Lu, Chi-Jie Lu

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Utilization of Decision Tree Algorithms for Supporting the Prediction of Intensive Care Unit Admission of Myasthenia Gravis: A Machine Learning-Based Approach by Che-Cheng Chang, Jiann-Horng Yeh, Hou-Chang Chiu, Yen-Ming Chen, Mao-Jhen Jhou, Tzu-Chi Liu, Chi-Jie Lu

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