Tetsuro Matsui
According to our database1,
Tetsuro Matsui
authored at least 30 papers
between 2006 and 2023.
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Bibliography
2023
Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2021
Fault Detection of Hydroelectric Generators by Robust Random Cut Forest with Feature Selection Using Hilbert-Schmidt Independence Criterion.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2021
2020
One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
Mild Action Blending Policy on Deep Reinforcement Learning with Discretized Actions for Process Control.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
Clustering-Based Data Reduction Approach to Speed up SVM in Classification and Regression Tasks.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative Coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Correction: Sato, M., et al. Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration, <i>Algorithms</i> 2019, <i>12</i>, 15.
Algorithms, 2019
Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration.
Algorithms, 2019
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Dependable Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution for On-line Energy Plant Optimal Operation Planning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Model Predictive Control Based on Deep Reinforcement Learning Method with Discrete-Valued Input.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
2018
Global-best Brain Storm Optimization for Optimal Operational Planning of Energy Plants.
Proceedings of the TENCON 2018, 2018
Multi-population Modified Brain Storm Optimization for Optimal Operational Planning of Energy Plants.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018
2017
Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
Parallel dependable multi-population differential evolutionary particle swarm optimization for on-line optimal operational planning of energy plants.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017
2015
Overshoot suppression control based on final tracking error estimation and quantifier elimination.
Proceedings of the 10th Asian Control Conference, 2015
2014
A direct quantifier elimination approach for offline multi-rate predictive control with constraints.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014
2010
The epsilon constrained differential evolution approach for optimal operational planning of energy plants.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Optimal Operational Planning and Control of Energy Plants by e Constrained Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Control Applications, 2010
2007
Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r.
Proceedings of the 9th IFAC Workshop on Adaptation and Learning in Control and Signal Processing, 2007
Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter?
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007
2006
Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions.
Proceedings of the International Joint Conference on Neural Networks, 2006