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Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7
Keywords: deep reinforcement learning hyper parameter optimization convolutional neural network fault diagnosis
Shaojun ZHU; Makoto OHSAKI; Kazuki HAYASHI; Shaohan ZONG; Xiaonong GUO
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11, Pages 1397-1414 doi: 10.1007/s11709-022-0860-y
Keywords: progressive collapse alternate load path demolition planning reinforcement learning graph embedding
Jingda Wu, Zhiyu Huang, Zhongxu Hu, Chen Lv
Engineering 2023, Volume 21, Issue 2, Pages 75-91 doi: 10.1016/j.eng.2022.05.017
Due to its limited intelligence and abilities, machine learning is currentlytraining loop of artificial intelligence (AI), leveraging human intelligence to further advance machine learningIn this study, a real-time human-guidance-based (Hug)-deep reinforcement learning (DRL) method is developedvalidated by human-in-the-loop experiments with 40 subjects and compared with other state-of-the-art learning
Keywords: Human-in-the-loop AI Deep reinforcement learning Human guidance Autonomous driving
Automated synthesis of steady-state continuous processes using reinforcement learning
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 288-302 doi: 10.1007/s11705-021-2055-9
Keywords: automated process synthesis flowsheet synthesis artificial intelligence machine learning reinforcementlearning
Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning Research Article
Shihmin WANG, Binqi ZHAO, Zhengfeng ZHANG, Junping ZHANG, Jian PU
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1541-1556 doi: 10.1631/FITEE.2300084
Keywords: Reinforcement learning Sample efficiency Sampling process Clustering methods Autonomous driving
Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach
Xiangkun He,Wenhui Huang,Chen Lv,
Engineering doi: 10.1016/j.eng.2023.10.005
Keywords: Autonomous vehicle Decision-making Reinforcement learning Adversarial attack Safety guarantee
Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,
Engineering doi: 10.1016/j.eng.2023.07.018
Keywords: Obstacle avoidance trajectory planning Inverse reinforcement theory Anthropomorphic Adaptive driving
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1
● MSWNet was proposed to classify municipal solid waste.
Keywords: Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Frontiers of Structural and Civil Engineering Pages 994-1010 doi: 10.1007/s11709-023-0942-5
Keywords: dynamic prediction moving trajectory pipe jacking GRU deep learning
Digital image correlation-based structural state detection through deep learning
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 45-56 doi: 10.1007/s11709-021-0777-x
Keywords: structural state detection deep learning digital image correlation vibration signal steel frame
Survey on deep learning for pulmonary medical imaging
Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu
Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 450-469 doi: 10.1007/s11684-019-0726-4
Keywords: deep learning neural networks pulmonary medical image survey
Recent development on statistical methods for personalized medicine discovery
Yingqi Zhao, Donglin Zeng
Frontiers of Medicine 2013, Volume 7, Issue 1, Pages 102-110 doi: 10.1007/s11684-013-0245-7
It is well documented that patients can show significant heterogeneous responses to treatments so the best treatment strategies may require adaptation over individuals and time. Recently, a number of new statistical methods have been developed to tackle the important problem of estimating personalized treatment rules using single-stage or multiple-stage clinical data. In this paper, we provide an overview of these methods and list a number of challenges.
Keywords: dynamic treatment regimes personalized medicine reinforcement learning Q-learning
Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wireless Research Article
Xiaoyu LIU, Chi XU, Haibin YU, Peng ZENG,liuxiaoyu1@sia.cn,xuchi@sia.cn,yhb@sia.cn,zp@sia.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1, Pages 47-60 doi: 10.1631/FITEE.2100331
Keywords: Multi-agent deep reinforcement learning End–edge orchestrated Industrial wireless networks Delay
Frontiers of Medicine 2022, Volume 16, Issue 3, Pages 496-506 doi: 10.1007/s11684-021-0828-7
Keywords: XGBoost deep neural network healthcare risk prediction
Incentive-Aware Blockchain-Assisted Intelligent Edge Caching and Computation Offloading for IoT Article
Qian Wang, Siguang Chen, Meng Wu
Engineering 2023, Volume 31, Issue 12, Pages 127-138 doi: 10.1016/j.eng.2022.10.014
Keywords: Computation offloading Caching Incentive Blockchain Federated deep reinforcement learning
Title Author Date Type Operation
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article
Deep reinforcement learning-based critical element identification and demolition planning of frame structures
Shaojun ZHU; Makoto OHSAKI; Kazuki HAYASHI; Shaohan ZONG; Xiaonong GUO
Journal Article
Toward Human-in-the-loop AI: Enhancing Deep Reinforcement Learning Via Real-time Human Guidance for Autonomous
Jingda Wu, Zhiyu Huang, Zhongxu Hu, Chen Lv
Journal Article
Automated synthesis of steady-state continuous processes using reinforcement learning
Journal Article
Embedding expert demonstrations into clustering buffer for effective deep reinforcement learning
Shihmin WANG, Binqi ZHAO, Zhengfeng ZHANG, Junping ZHANG, Jian PU
Journal Article
Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach
Xiangkun He,Wenhui Huang,Chen Lv,
Journal Article
Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based on Inverse ReinforcementLearning Theory
Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,
Journal Article
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal
Journal Article
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article
Survey on deep learning for pulmonary medical imaging
Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu
Journal Article
Recent development on statistical methods for personalized medicine discovery
Yingqi Zhao, Donglin Zeng
Journal Article
Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wireless
Xiaoyu LIU, Chi XU, Haibin YU, Peng ZENG,liuxiaoyu1@sia.cn,xuchi@sia.cn,yhb@sia.cn,zp@sia.cn
Journal Article
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
Journal Article