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Transactions on Cybernetics
Scope
The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
IEEE Transactions on Cybernetics replaced the IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics on January 1, 2013.
Subscribe to this Journal via RSS.Editor-in-Chief
Peng Shi
Editor-In-Chief
School of Electrical and Electronic Engineering,
The University of Adelaide, Australia
Articles
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31 July 2022IEEE SYSTEMS, MAN, AND CYBERNETICS SOCIETYPresents a listing of the editorial board, board of governors, current staff, committee members,...
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31 July 2022Adaptive Fuzzy Event-Triggered Control for Single-Link Flexible-Joint Robots With Actuator FailuresThis article studies the finite-time tracking control problem for the single-link flexible-joint...
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31 July 2022Weighted Gate Layer AutoencodersA single dataset could hide a significant number of relationships among its feature set. Learning...
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31 July 2022A Hierarchical Structure Approach to Finite-Time Filter Design for Fuzzy Markov Switching Systems With Deception AttacksThis work is concerned with the issue of finite-time filter design for a type of...
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31 August 2020Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and ApplicationsReinforcement learning (RL) algorithms have been around for decades and employed to solve various...
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28 February 2021MADNet: A Fast and Lightweight Network for Single-Image Super ResolutionRecently, deep convolutional neural networks (CNNs) have been successfully applied to the...
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30 June 2020Predicting COVID-19 in China Using Hybrid AI ModelThe coronavirus disease 2019 (COVID-19) breaking out in late December 2019 is gradually being...
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31 July 2020A Survey of Optimization Methods From a Machine Learning PerspectiveMachine learning develops rapidly, which has made many theoretical breakthroughs and is widely...
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31 August 2020Automatically Designing CNN Architectures Using the Genetic Algorithm for Image ClassificationConvolutional neural networks (CNNs) have gained remarkable success on many image classification...
