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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
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
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
Investigation of crack segmentation and fast evaluation of crack propagation, based on deep learning
Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 4, Pages 516-535 doi: 10.1007/s11709-024-1040-z
Keywords: deep learning crack segmentation crack propagation encoder−decoder recurrent neural network
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
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
A hybrid spatial-temporal deep learning prediction model of industrial methanol-to-olefins process
Frontiers of Chemical Science and Engineering 2024, Volume 18, Issue 4, doi: 10.1007/s11705-024-2403-7
Keywords: methanol-to-olefins process variables prediction spatial-temporal self-attention mechanism graph convolutional network
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2, Pages 214-223 doi: 10.1007/s11709-021-0800-2
Keywords: concrete structure GPR damage classification convolutional neural network transfer learning
DAN: a deep association neural network approach for personalization recommendation Research Articles
Xu-na Wang, Qing-mei Tan,Xuna@nuaa.edu.cn,tanchina@nuaa.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7, Pages 963-980 doi: 10.1631/FITEE.1900236
Keywords: Neural network Deep learning Deep association neural network (DAN) Recommendation
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, itadversarial attack and defense techniques have attracted increasing attention from both machine
learning
Keywords: Machine learning Deep neural network Adversarial example Adversarial attack Adversarial defense
Amit SHIULY; Debabrata DUTTA; Achintya MONDAL
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3, Pages 347-358 doi: 10.1007/s11709-022-0819-z
Keywords: support vector machine deep convolutional neural network microscope digital image curing period
Harun TANYILDIZI, Abdulkadir ŞENGÜR, Yaman AKBULUT, Murat ŞAHİN
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6, Pages 1316-1330 doi: 10.1007/s11709-020-0646-z
Keywords: concrete high temperature strength properties deep learning stacked auto-encoders LSTM network
Machine vision-based automatic fruit quality detection and grading
Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532
● A machine vision-based prototype system was developed for fruit grading.
Keywords: Computer and machine vision convolution neural network deep learning defective fruit detection fruit
Combining graph neural network with deep reinforcement learning for resource allocation in computing Research Article
Xueying HAN, Mingxi XIE, Ke YU, Xiaohong HUANG, Zongpeng DU, Huijuan YAO,hanxueying@bupt.edu.cn,yuke@bupt.edu.cn
Frontiers of Information Technology & Electronic Engineering 2024, Volume 25, Issue 5, Pages 701-712 doi: 10.1631/FITEE.2300009
Keywords: Computing force network Routing optimization Deep learning Graph neural network Resource allocation
Prediction of bearing capacity of pile foundation using deep learning approaches
Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6, Pages 870-886 doi: 10.1007/s11709-024-1085-z
Keywords: deep learning algorithms high-strain dynamic pile test bearing capacity of the pile
Title Author Date Type Operation
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal
Journal Article
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
Journal Article
Investigation of crack segmentation and fast evaluation of crack propagation, based on deep learning
Journal Article
A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting
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
A hybrid spatial-temporal deep learning prediction model of industrial methanol-to-olefins process
Journal Article
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
Journal Article
DAN: a deep association neural network approach for personalization recommendation
Xu-na Wang, Qing-mei Tan,Xuna@nuaa.edu.cn,tanchina@nuaa.edu.cn
Journal Article
Adversarial Attacks and Defenses in Deep Learning
Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu
Journal Article
Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques
Amit SHIULY; Debabrata DUTTA; Achintya MONDAL
Journal Article
Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed
Harun TANYILDIZI, Abdulkadir ŞENGÜR, Yaman AKBULUT, Murat ŞAHİN
Journal Article
Combining graph neural network with deep reinforcement learning for resource allocation in computing
Xueying HAN, Mingxi XIE, Ke YU, Xiaohong HUANG, Zongpeng DU, Huijuan YAO,hanxueying@bupt.edu.cn,yuke@bupt.edu.cn
Journal Article