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Wenbing Chang

Showing results (1-10 of 11) with videos related to

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Sensors (Basel, Switzerland)|June 15, 2018
A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble ClassifierShenghan Zhou, Silin Qian, Wenbing Chang, et al.
Entropy (Basel, Switzerland)|December 3, 2020
A Bayesian Failure Prediction Network Based on Text Sequence Mining and ClusteringWenbing Chang, Zhenzhong Xu, Meng You, et al.
Entropy (Basel, Switzerland)|September 23, 2022
A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics MiningShenghan Zhou, Chaofei Song, Tianhuai Wang, et al.
Brain and Behavior|October 20, 2018
Amyotrophic lateral sclerosis in Beijing: Epidemiologic features and prognosis from 2010 to 2015Shenghan Zhou, Yuliang Zhou, Silin Qian, et al.
Neuroepidemiology|January 12, 2018
Using the Capture-Recapture Method to Estimate the Incidence of Amyotrophic Lateral Sclerosis in Beijing, ChinaShenghan Zhou, Silin Qian, Xiaohan Li, et al.
Diagnostics (Basel, Switzerland)|April 30, 2021
Prediction of Hypertension Outcomes Based on Gain Sequence Forward Tabu Search Feature Selection and XGBoostWenbing Chang, Xinpeng Ji, Yiyong Xiao, et al.
Entropy (Basel, Switzerland)|October 23, 2021
Travel Characteristics Analysis and Traffic Prediction Modeling Based on Online Car-Hailing Operational Data SetsShenghan Zhou, Bang Chen, Houxiang Liu, et al.
Healthcare (Basel, Switzerland)|October 23, 2021
A Machine-Learning Method of Predicting Vital Capacity Plateau Value for Ventilatory Pump Failure Based on Data MiningWenbing Chang, Xinpeng Ji, Liping Wang, et al.
Diagnostics (Basel, Switzerland)|November 10, 2019
A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical DataWenbing Chang, Yinglai Liu, Yiyong Xiao, et al.
Entropy (Basel, Switzerland)|July 2, 2021
Status Set Sequential Pattern Mining Considering Time Windows and Periodic Analysis of PatternsShenghan Zhou, Houxiang Liu, Bang Chen, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|June 15, 2018
A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble ClassifierShenghan Zhou, Silin Qian, Wenbing Chang, et al.
Entropy (Basel, Switzerland)|December 3, 2020
A Bayesian Failure Prediction Network Based on Text Sequence Mining and ClusteringWenbing Chang, Zhenzhong Xu, Meng You, et al.
Entropy (Basel, Switzerland)|September 23, 2022
A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics MiningShenghan Zhou, Chaofei Song, Tianhuai Wang, et al.
Brain and Behavior|October 20, 2018
Amyotrophic lateral sclerosis in Beijing: Epidemiologic features and prognosis from 2010 to 2015Shenghan Zhou, Yuliang Zhou, Silin Qian, et al.
Neuroepidemiology|January 12, 2018
Using the Capture-Recapture Method to Estimate the Incidence of Amyotrophic Lateral Sclerosis in Beijing, ChinaShenghan Zhou, Silin Qian, Xiaohan Li, et al.
Diagnostics (Basel, Switzerland)|April 30, 2021
Prediction of Hypertension Outcomes Based on Gain Sequence Forward Tabu Search Feature Selection and XGBoostWenbing Chang, Xinpeng Ji, Yiyong Xiao, et al.
Entropy (Basel, Switzerland)|October 23, 2021
Travel Characteristics Analysis and Traffic Prediction Modeling Based on Online Car-Hailing Operational Data SetsShenghan Zhou, Bang Chen, Houxiang Liu, et al.
Healthcare (Basel, Switzerland)|October 23, 2021
A Machine-Learning Method of Predicting Vital Capacity Plateau Value for Ventilatory Pump Failure Based on Data MiningWenbing Chang, Xinpeng Ji, Liping Wang, et al.
Diagnostics (Basel, Switzerland)|November 10, 2019
A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical DataWenbing Chang, Yinglai Liu, Yiyong Xiao, et al.
Entropy (Basel, Switzerland)|July 2, 2021
Status Set Sequential Pattern Mining Considering Time Windows and Periodic Analysis of PatternsShenghan Zhou, Houxiang Liu, Bang Chen, et al.
Pageof 2