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Diffractive Deep Neural Networks at Visible Wavelengths Article
Hang Chen, Jianan Feng, Minwei Jiang, Yiqun Wang, Jie Lin, Jiubin Tan, Peng Jin
Engineering 2021, Volume 7, Issue 10, Pages 1485-1493 doi: 10.1016/j.eng.2020.07.032
Optical deep learning based on diffractive optical elements offers unique advantages for parallelOne landmark method is the diffractive deep neural network (D2NN) based on three-dimensional printing
Keywords: Optical computation Optical neural networks Deep learning Optical machine learning Diffractive deepneural networks
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
Tandem hiddenMarkovmodels using deep belief networks for offline handwriting recognition Article
Partha Pratim ROY, Guoqiang ZHONG, Mohamed CHERIET
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7, Pages 978-988 doi: 10.1631/FITEE.1600996
Keywords: Handwriting recognition Hidden Markov models Deep learning Deep belief networks Tandem approach
Khuong LE-NGUYEN; Quyen Cao MINH; Afaq AHMAD; Lanh Si HO
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10, Pages 1213-1232 doi: 10.1007/s11709-022-0880-7
Keywords: FRCM deep neural networks confinement effect strength model confined concrete
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
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1453-1479 doi: 10.1007/s11709-021-0767-z
Keywords: damage detection deep feed-forward neural networks functionally graded carbon nanotube-reinforced composite
Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6, Pages 759-771 doi: 10.1007/s11705-022-2269-5
Keywords: hydrocracking convolutional neural networks self-organizing map deep learning data-driven optimization
Estimating Rainfall Intensity Using an Image-Based Deep Learning Model Article
Hang Yin, Feifei Zheng, Huan-Feng Duan, Dragan Savic, Zoran Kapelan
Engineering 2023, Volume 21, Issue 2, Pages 162-174 doi: 10.1016/j.eng.2021.11.021
Keywords: Urban flooding Rainfall images Deep learning model Convolutional neural networks (CNNs) Rainfall
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models Review
Changde Du, Jinpeng Li, Lijie Huang, Huiguang He
Engineering 2019, Volume 5, Issue 5, Pages 948-953 doi: 10.1016/j.eng.2019.03.010
Keywords: Brain encoding and decoding Functional magnetic resonance imaging Deep neural networks Deep generative
A Survey of Accelerator Architectures for Deep Neural Networks Review
Yiran Chen, uan Xie, Linghao Song, Fan Chen, Tianqi Tang
Engineering 2020, Volume 6, Issue 3, Pages 264-274 doi: 10.1016/j.eng.2020.01.007
Keywords: Deep neural network Domain-specific architecture Accelerator
Recent advances in efficient computation of deep convolutional neural networks Review
Jian CHENG, Pei-song WANG, Gang LI, Qing-hao HU, Han-qing LU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 64-77 doi: 10.1631/FITEE.1700789
Keywords: Deep neural networks Acceleration Compression Hardware accelerator
Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wirelessnetworks 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
Pieter P. Plehiers, Steffen H. Symoens, Ismaël Amghizar, Guy B. Marin, Christian V. Stevens, Kevin M. Van Geem
Engineering 2019, Volume 5, Issue 6, Pages 1027-1040 doi: 10.1016/j.eng.2019.02.013
Keywords: Artificial intelligence Deep learning Steam cracking Artificial neural networks
On the principles of Parsimony and Self-consistency for the emergence of intelligence Position Paper
Yi MA, Doris TSAO, Heung-Yeung SHUM
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9, Pages 1298-1323 doi: 10.1631/FITEE.2200297
Keywords: Intelligence Parsimony Self-consistency Rate reduction Deep networks Closed-loop transcription
De-long FENG,Ming-qing XIAO,Ying-xi LIU,Hai-fang SONG,Zhao YANG,Ze-wen HU
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12, Pages 1287-1304 doi: 10.1631/FITEE.1601365
Keywords: Deep belief networks (DBNs) Fault diagnosis Information entropy Engine
Title Author Date Type Operation
Diffractive Deep Neural Networks at Visible Wavelengths
Hang Chen, Jianan Feng, Minwei Jiang, Yiqun Wang, Jie Lin, Jiubin Tan, Peng Jin
Journal Article
Survey on deep learning for pulmonary medical imaging
Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu
Journal Article
Tandem hiddenMarkovmodels using deep belief networks for offline handwriting recognition
Partha Pratim ROY, Guoqiang ZHONG, Mohamed CHERIET
Journal Article
Development of deep neural network model to predict the compressive strength of FRCM confined columns
Khuong LE-NGUYEN; Quyen Cao MINH; Afaq AHMAD; Lanh Si HO
Journal Article
A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of
Journal Article
A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced
Journal Article
Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units
Journal Article
Estimating Rainfall Intensity Using an Image-Based Deep Learning Model
Hang Yin, Feifei Zheng, Huan-Feng Duan, Dragan Savic, Zoran Kapelan
Journal Article
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models
Changde Du, Jinpeng Li, Lijie Huang, Huiguang He
Journal Article
A Survey of Accelerator Architectures for Deep Neural Networks
Yiran Chen, uan Xie, Linghao Song, Fan Chen, Tianqi Tang
Journal Article
Recent advances in efficient computation of deep convolutional neural networks
Jian CHENG, Pei-song WANG, Gang LI, Qing-hao HU, Han-qing LU
Journal Article
Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wirelessnetworks
Xiaoyu LIU, Chi XU, Haibin YU, Peng ZENG,liuxiaoyu1@sia.cn,xuchi@sia.cn,yhb@sia.cn,zp@sia.cn
Journal Article
Artificial Intelligence in Steam Cracking Modeling: A Deep Learning Algorithm for Detailed Effluent Prediction
Pieter P. Plehiers, Steffen H. Symoens, Ismaël Amghizar, Guy B. Marin, Christian V. Stevens, Kevin M. Van Geem
Journal Article
On the principles of Parsimony and Self-consistency for the emergence of intelligence
Yi MA, Doris TSAO, Heung-Yeung SHUM
Journal Article