Results 81 to 90 of about 460,215 (289)
Neuropsychiatric Disease and Treatment, 2020 Xiaoyan He, 1 Qingyan Ma, 1 Yajuan Fan, 1 Binbin Zhao, 1 Wei Wang, 1 Feng Zhu, 2 Xiancang Ma, 1 Lina Zhou 1 1Department of Psychiatry, The First Affiliated Hospital of Medical College of Xi’an Jiaotong University, Xi’an, Shaanxi, People ...
He X +7 more
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AIChE Journal, EarlyView.Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag +2 more
wiley +1 more source
Infection and Drug Resistance, 2021 Hui-Ming Peng,1 Zong-Ke Zhou,2 Fei Wang,3 Shi-Gui Yan,4 Peng Xu,5 Xi-Fu Shang,6 Jia Zheng,7 Qing-Sheng Zhu,8 Li Cao,9 Xi-Sheng Weng1 1Department of Orthopedics, Peking Union Medical College Hospital, CAMS & PUMC, Beijing, 100730, People’s Republic of ...
Peng HM +9 more
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Advanced Intelligent Discovery, EarlyView.We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Risk Management and Healthcare Policy, 2023 Jian Zhu,1,* Guang-Ping Zhu,2,* Yan-Ming Weng,3,* Yong Zhang,4 Bi-Xi Li5 1Department of Thoracic Cardiovascular Surgery, General Hospital of Central Theater Command of the People’s Liberation Army, Wuhan, People’s Republic of China ...
Zhu J, Zhu GP, Weng YM, Zhang Y, Li BX
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Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Cancer Management and Research, 2020 Bin Wang,* Siyuan Jiang,* Lizhe Zhu, Wei Sheng, Yan Qiao, Huimin Zhang, Jian Zhang, Yang Liu, Na Hao, Xiaoxia Ma, Can Zhou, Yu Ren Department of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s
Wang B +11 more
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Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang +6 more
wiley +1 more source
Significant prognostic values of aquaporin mRNA expression in breast cancer
Cancer Management and Research, 2019 Lizhe Zhu,1 Nan Ma,2 Bin Wang,1 Lei Wang,3 Can Zhou,1 Yu Yan,1 Jianjun He,1 Yu Ren1 1Department of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China; 2Department of Pharmacy, Health ...
Zhu L +7 more
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