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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 recognizedSuccessful implementations
of adversarial attacks in real physical-world scenarios further demonstrate
Hence, adversarial attack and defense techniques have attracted increasing attention from bothIn this paper,
we first introduce the theoretical foundations, algorithms, and applications of adversarial
Keywords: Machine learning Deep neural network Adversarial example Adversarial attack Adversarial defense
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
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
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
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
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 Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1667-3
● Hybrid deep-learning model is proposed for water quality prediction
Keywords: Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator
Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 814-828 doi: 10.1007/s11465-021-0650-6
Keywords: bearing cross-severity fault diagnosis hierarchical fault diagnosis convolutional 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
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
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
Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang
Engineering 2019, Volume 5, Issue 1, Pages 156-163 doi: 10.1016/j.eng.2018.11.018
It is essential to utilize deep-learning algorithms based on big data for the implementation of theEffective utilization of deep learning relies considerably on the number of labeled samples, which restrictsthe application of deep learning in an environment with a small sample size.In this paper, we propose an approach based on a generative adversarial network (GAN) combined with adeep neural network (DNN).
Keywords: Artificial intelligence Generative adversarial network Deep neural network Small sample size Cancer
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1621-4
● Used a double-stage attention mechanism model to predict ozone.
Keywords: Ozone prediction Deep learning Time series Attention Volatile organic compounds
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
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
Title Author Date Type Operation
Adversarial Attacks and Defenses in Deep Learning
Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu
Journal Article
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
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
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
A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced
Journal Article
Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured
Journal Article
Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical
Journal Article
A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting
Journal Article
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
Journal Article
Multiclass classification based on a deep convolutional
Ying CAI,Meng-long YANG,Jun LI
Journal Article
Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology
Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang
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Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neuralnetwork
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A Survey of Accelerator Architectures for Deep Neural Networks
Yiran Chen, uan Xie, Linghao Song, Fan Chen, Tianqi Tang
Journal Article