Nanliang Shan - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A ReviewShaoHua Qiu, Xiaopeng Cui, Zuowei Ping, Nanliang Shan, Zhong Li, Xianqiang Bao, Xinghua Xu. sensors, 23(3):1305, February 2023. [doi]

Multisensor Anomaly Detection and Interpretable Analysis for Linear Induction MotorsNanliang Shan, Xinghua Xu, Xianqiang Bao, Chengcheng Xu, Guangyu Zhu, Edmond Qi Wu. tits, 24(9):9861-9870, September 2023. [doi]

2022

Fast Fault Diagnosis in Industrial Embedded Systems Based on Compressed Sensing and Deep Kernel Extreme Learning MachinesNanliang Shan, Xinghua Xu, Xianqiang Bao, ShaoHua Qiu. sensors, 22(11):3997, 2022. [doi]

DuFeNet: Improve the Accuracy and Increase Shape Bias of Neural Network ModelsZecong Ye, Zhiqiang Gao, Xiaolong Cui, Yaojie Wang, Nanliang Shan. sivp, 16(5):1153-1160, 2022. [doi]

2020

Collaborative Intelligence: Accelerating Deep Neural Network Inference via Device-Edge SynergyNanliang Shan, Zecong Ye, Xiaolong Cui. scn, 2020, 2020. [doi]

"DRL + FL": An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge ComputingNanliang Shan, Xiaolong Cui, Zhiqiang Gao. comcom, 160:14-24, 2020. [doi]

2019

An Efficient Mobile Cloud Service Model or Tactical EdgeBo Du, Nanliang Shan, Sha Zhou. incos 2020: 422-430 [doi]

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