Related references
Note: Only part of the references are listed.Generative Adversarial Networks for Spatio-temporal Data: A Survey
Nan Gao et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2022)
DIGFuPAS: Deceive IDS with GAN and function-preserving on adversarial samples in SDN-enabled networks
Phan The Duy et al.
COMPUTERS & SECURITY (2021)
Nonlinear quality-related fault detection using combined deep variational information bottleneck and variational autoencoder
Peng Tang et al.
ISA TRANSACTIONS (2021)
Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment
Mohamed Abdel-Basset et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multitask Learning Mechanism
Laisen Nie et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
A Survey on Trajectory Data Management, Analytics, and Learning
Sheng Wang et al.
ACM COMPUTING SURVEYS (2021)
An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model
Mohammad Mehedi Hassan et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Challenges and Opportunities in Securing the Industrial Internet of Things
Martin Serror et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Anomaly Detection Based on Multidimensional Data Processing for Protecting Vital Devices in 6G-Enabled Massive IIoT
Guangjie Han et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
Thanasis Kotsiopoulos et al.
COMPUTER SCIENCE REVIEW (2021)
Generative adversarial networks based remaining useful life estimation for IIoT
Sourajit Behera et al.
COMPUTERS & ELECTRICAL ENGINEERING (2021)
MACHINE LEARNING FOR MASSIVE INDUSTRIAL INTERNET OF THINGS
Hui Zhou et al.
IEEE WIRELESS COMMUNICATIONS (2021)
Differential Privacy for Industrial Internet of Things: Opportunities, Applications, and Challenges
Bin Jiang et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment
Mohammad Mehedi Hassan et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications
Ruhul Amin Khalil et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Learning With Imbalanced Data in Smart Manufacturing: A Comparative Analysis
Yasmin Fathy et al.
IEEE ACCESS (2021)
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)
Industrial internet of things: Recent advances, enabling technologies and open challenges
W. Z. Khan et al.
COMPUTERS & ELECTRICAL ENGINEERING (2020)
GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
Yuxiu Hua et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)
Neural Network-Based Model Predictive Control of a Paste Thickener Over an Industrial Internet Platform
Felipe Nunez et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
Potential, challenges and future directions for deep learning in prognostics and health management applications
Olga Fink et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT
Di Wu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network
Pengfei Liang et al.
MEASUREMENT (2020)
Generative Adversarial Networks
Ian Goodfellow et al.
COMMUNICATIONS OF THE ACM (2020)
Detection of Low-Frequency and Multi-Stage Attacks in Industrial Internet of Things
Xinghua Li et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
ARIES: A Novel Multivariate Intrusion Detection System for Smart Grid
Panagiotis Radoglou Grammatikis et al.
SENSORS (2020)
A comprehensive survey and analysis of generative models in machine learning
G. M. Harshvardhan et al.
COMPUTER SCIENCE REVIEW (2020)
Generative-Adversarial-Network-Based Wireless Channel Modeling: Challenges and Opportunities
Yang Yang et al.
IEEE COMMUNICATIONS MAGAZINE (2019)
Federated Machine Learning: Concept and Applications
Qiang Yang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2019)
Motor Fault Detection and Feature Extraction Using RNN-Based Variational Autoencoder
Yang Huang et al.
IEEE ACCESS (2019)
Recent Progress on Generative Adversarial Networks (GANs): A Survey
Zhaoqing Pan et al.
IEEE ACCESS (2019)
An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition
Zirui Wang et al.
NEUROCOMPUTING (2018)
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT
Manuel Lopez-Martin et al.
SENSORS (2017)