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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
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
Jie CHEN, Dandan WU, Ruiyun XIE,chenjie1900@mail.nwpu.edu.cn,wudd@cetcsc.com
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8, Pages 1117-1142 doi: 10.1631/FITEE.2200314
Keywords: Artificial intelligence (AI) Machine learning (ML) Deep learning (DL) Optimization algorithm Hybrid
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
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
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
Hamed BOLANDI; Xuyang LI; Talal SALEM; Vishnu Naresh BODDETI; Nizar LAJNEF
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11, Pages 1365-1377 doi: 10.1007/s11709-022-0882-5
Keywords: Deep Learning finite element analysis stress contours structural components
Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2, Pages 340-352 doi: 10.1007/s11465-021-0629-3
Keywords: fault intelligent diagnosis deep learning deep convolutional neural network high-dimensional samples
Deep learning in digital pathology image analysis: a survey
Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu
Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 470-487 doi: 10.1007/s11684-020-0782-9
Keywords: pathology deep learning segmentation detection classification
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0688-0
Keywords: precision milling dimensional accuracy cutting force convolutional neural networks coherent noise
Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 318-332 doi: 10.1007/s11709-021-0715-y
Keywords: pile foundations damage location acoustic emission deep learning damage step
Adversarial Attacks and Defenses in Deep Learning Feature Article
Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu
Engineering 2020, Volume 6, Issue 3, Pages 346-360 doi: 10.1016/j.eng.2019.12.012
With the rapid developments of artificial intelligence (AI) and deep learning (DL) techniques, itRecently, the security vulnerability of
DL algorithms to adversarial samples has been widely recognizedThe fabricated samples can lead to various
misbehaviors of the DL models while being perceivedadversarial attack and defense techniques have attracted increasing attention from both machine
learning
Keywords: Machine learning Deep neural network Adversarial example Adversarial attack Adversarial defense
A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3
● A novel deep learning framework for short-term water demand forecasting
Keywords: Short-term water demand forecasting Long-short term memory neural network Convolutional Neural Network Wavelet multi-resolution analysis Data-driven models
Title Author Date Type Operation
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
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article
Artificial intelligence algorithms for cyberspace security applications: a technological and status review
Jie CHEN, Dandan WU, Ruiyun XIE,chenjie1900@mail.nwpu.edu.cn,wudd@cetcsc.com
Journal Article
Survey on deep learning for pulmonary medical imaging
Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu
Journal Article
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
Journal Article
Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning
Xinbin WU; Junjie LI; Linlin WANG
Journal Article
Bridging finite element and deep learning: High-resolution stress distribution prediction in structural
Hamed BOLANDI; Xuyang LI; Talal SALEM; Vishnu Naresh BODDETI; Nizar LAJNEF
Journal Article
Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples
Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG
Journal Article
Deep learning in digital pathology image analysis: a survey
Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu
Journal Article
A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of
Journal Article
Detection of damage locations and damage steps in pile foundations using acoustic emissions with deeplearning technology
Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE
Journal Article
Adversarial Attacks and Defenses in Deep Learning
Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu
Journal Article