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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
C. L. Philip Chen
Editor-In-Chief
School of Computer Science and Engineering,
South China University of Technology, Guangzhou, 510641, China, and Faculty of Science and Technology, University of Macau, Macau, China.
Articles
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30 September 2021IEEE Transactions on CyberneticsPresents a listing of the editorial board, board of governors, current staff, committee members,...
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30 September 2021Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity EstimationDeep learning approaches have significantly contributed to recent progress in stereo matching....
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30 September 2021A Dynamic Adaptive Subgroup-to-Subgroup Compatibility-Based Conflict Detection and Resolution Model for Multicriteria Large-Scale Group Decision MakingThe current societal demands and technological developments have resulted in the participation of...
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30 September 2021Adaptive Neural-Network Boundary Control for a Flexible Manipulator With Input Constraints and Model UncertaintiesThis article develops an adaptive neural-network (NN) boundary control scheme for a flexible...
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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 2021Federated Continuous Learning With Broad Network ArchitectureFederated learning (FL) is a machine-learning setting, where multiple clients collaboratively...
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31 July 2021Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble SurrogatesData-driven evolutionary algorithms (DDEAs) aim to utilize data and surrogates to drive...
