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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
Development and deep-sea exploration of the Haidou-1
Frontiers of Engineering Management Pages 546-549 doi: 10.1007/s42524-023-0260-6
Keywords: hadal zone autonomous and remotely-operated vehicle integrated exploration operation deep dive exceeding
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
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
Multiclass classification based on a deep convolutional
Ying CAI,Meng-long YANG,Jun LI
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11, Pages 930-939 doi: 10.1631/FITEE.1500125
Keywords: Head pose estimation Deep convolutional neural network Multiclass classification
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
Stability analysis on Tingzikou gravity dam along deep-seated weak planes during earthquake
Weiping HE, Yunlong HE
Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1, Pages 69-75 doi: 10.1007/s11709-012-0146-x
Keywords: gravity dam deep-seated weak planes stability against sliding earthquake
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
Advanced finite element analysis of a complex deep excavation case history in Shanghai
Yuepeng DONG, Harvey BURD, Guy HOULSBY, Yongmao HOU
Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 1, Pages 93-100 doi: 10.1007/s11709-014-0232-3
Keywords: advanced finite element analysis deep excavations case history small-strain stiffness
Theoretical and technological exploration of deep
Heping XIE, Yang JU, Shihua REN, Feng GAO, Jianzhong LIU, Yan ZHU
Frontiers in Energy 2019, Volume 13, Issue 4, Pages 603-611 doi: 10.1007/s11708-019-0643-x
Keywords: coal resource deep in situ fluidized mining theoretical system key technologies strategic roadmap
Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning
Xinbin WU; Junjie LI; Linlin WANG
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5, Pages 564-575 doi: 10.1007/s11709-022-0829-x
Keywords: water conveyance tunnels siltation images remotely operated vehicles deep learning ensemble learning
Deep eutectic solvent inclusions for high- composite dielectric elastomers
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6, Pages 996-1002 doi: 10.1007/s11705-022-2138-2
Keywords: composite materials deep eutectic solvent dielectric elastomer high dielectric constant
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
Predicting the response of continuous RC deep beams under varying levels of differential settlement
M. Z. NASER, R. A. HAWILEH
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3, Pages 686-700 doi: 10.1007/s11709-018-0506-2
Keywords: concrete continuous beams deep beams finite element modeling support settlement
Micro-hydromechanical deep drawing of metal cups with hydraulic pressure effects
Liang LUO, Zhengyi JIANG, Dongbin WEI, Xiaogang WANG, Cunlong ZHOU, Qingxue HUANG
Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1, Pages 66-73 doi: 10.1007/s11465-018-0468-z
Keywords: micro-hydromechanical deep drawing microforming size effects lubrication Voronoi
Title Author Date Type Operation
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article
Multiclass classification based on a deep convolutional
Ying CAI,Meng-long YANG,Jun LI
Journal Article
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
Journal Article
Stability analysis on Tingzikou gravity dam along deep-seated weak planes during earthquake
Weiping HE, Yunlong HE
Journal Article
Survey on deep learning for pulmonary medical imaging
Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu
Journal Article
Advanced finite element analysis of a complex deep excavation case history in Shanghai
Yuepeng DONG, Harvey BURD, Guy HOULSBY, Yongmao HOU
Journal Article
Theoretical and technological exploration of deep
Heping XIE, Yang JU, Shihua REN, Feng GAO, Jianzhong LIU, Yan ZHU
Journal Article
Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning
Xinbin WU; Junjie LI; Linlin WANG
Journal Article
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal
Journal Article
Predicting the response of continuous RC deep beams under varying levels of differential settlement
M. Z. NASER, R. A. HAWILEH
Journal Article