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Tetsuro Matsui
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2020 – today
- 2023
- [c28]Masato Igarashi, Yoshikazu Fukuyama, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Adamo Santana, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion. SSCI 2023: 533-538 - 2021
- [c27]Yuki Hara, Yoshikazu Fukuyama, Kiyo Arai, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
Fault Detection of Hydroelectric Generators by Robust Random Cut Forest with Feature Selection Using Hilbert-Schmidt Independence Criterion. SmartIoT 2021: 136-143 - 2020
- [c26]Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy. CEC 2020: 1-8 - [c25]Miao Zheng, Yoshikazu Fukuyama, Mohammed El-Abd
, Tatsuya Iizaka, Tetsuro Matsui:
Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative Coevolution. CEC 2020: 1-7 - [c24]Adamo Santana, Souta Inoue, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
Clustering-Based Data Reduction Approach to Speed up SVM in Classification and Regression Tasks. IEA/AIE 2020: 478-488 - [c23]Naoki Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui:
A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting. SICE 2020: 581-586 - [c22]Yoshio Tange, Satoshi Kiryu, Tetsuro Matsui:
Mild Action Blending Policy on Deep Reinforcement Learning with Discretized Actions for Process Control. SICE 2020: 587-592 - [c21]Yuki Hara, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
Fault Detection of Hydroelectric Generators using Isolation Forest. SICE 2020: 864-869 - [c20]Takahiro Yamasaki, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants. SICE 2020: 870-875
2010 – 2019
- 2019
- [j2]Mayuko Sato
Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration. Algorithms 12(1): 15 (2019) - [j1]Mayuko Sato, Yoshikazu Fukuyama
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, Algorithms 2019, 12, 15. Algorithms 12(6): 125 (2019) - [c19]Yoshio Tange, Satoshi Kiryu, Tetsuro Matsui:
Model Predictive Control Based on Deep Reinforcement Learning Method with Discrete-Valued Input. CCTA 2019: 308-313 - [c18]Mayuko Sato, Yoshikazu Fukuyama, Mohammed El-Abd
Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization. CEC 2019: 681-688 - [c17]Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm Optimization. SSCI 2019: 808-814 - [c16]Kiyo Arai, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui:
Dependable Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution for On-line Energy Plant Optimal Operation Planning. SSCI 2019: 2664-2670 - [c15]Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization. ICSI (1) 2019: 286-296 - 2018
- [c14]Mayuko Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui:
Total Optimization of Smart City by Global-Best Modified Brain Storm Optimization. IJCCI 2018: 101-109 - [c13]Tatsuya Iizaka, Yoshikazu Fukuyama, Kiyo Arai, Tetsuro Matsui:
Multi-population Modified Brain Storm Optimization for Optimal Operational Planning of Energy Plants. SMC 2018: 935-940 - [c12]Kiyo Arai, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui:
Global-best Brain Storm Optimization for Optimal Operational Planning of Energy Plants. TENCON 2018: 871-876 - 2017
- [c11]Daiji Sakurai, Yoshikazu Fukuyama, Adamo Santana, Yu Kawamura, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
Estimation of missing data of showcase using artificial neural networks. IWCIA 2017: 15-18 - [c10]Sohei Iwata, Yoshikazu Fukuyama, Toru Jintsugawa, Hisashi Fujimoto, Tetsuro Matsui:
Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systems. SSCI 2017: 1-7 - [c9]Norihiro Nishimura, Yoshikazu Fukuyama, Tetsuro Matsui:
Parallel dependable multi-population differential evolutionary particle swarm optimization for on-line optimal operational planning of energy plants. SSCI 2017: 1-7 - [c8]Norihiro Nishimura, Yoshikazu Fukuyama, Tetsuro Matsui:
Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization. ICSI (2) 2017: 233-241 - 2015
- [c7]Yoshio Tange, Satoshi Kiryu, Tetsuro Matsui:
Overshoot suppression control based on final tracking error estimation and quantifier elimination. ASCC 2015: 1-6 - 2014
- [c6]Yoshio Tange, Satoshi Kiryu, Tetsuro Matsui:
A direct quantifier elimination approach for offline multi-rate predictive control with constraints. MED 2014: 390-395 - 2010
- [c5]Ryohei Suzuki, Fukiko Kawai, Shinji Kitagawa, Tetsuro Matsui, Kouji Matsumoto, Donghui Xiang, Yoshikazu Fukuyama:
Optimal Operational Planning and Control of Energy Plants by e Constrained Particle Swarm Optimization. CCA 2010: 2077-2081 - [c4]Ryohei Suzuki, Fukiko Kawai, Shinji Kitagawa, Tetsuro Matsui, Kouji Matsumoto, Donghui Xiang, Yoshikazu Fukuyama:
The epsilon constrained differential evolution approach for optimal operational planning of energy plants. IEEE Congress on Evolutionary Computation 2010: 1-6
2000 – 2009
- 2007
- [c3]Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama, Ryohei Suzuki, Eitaro Aiyoshi:
Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter? ISIC 2007: 646-651 - [c2]Shiro Masuda, Akira Fujimori, Hideyuki Nishida, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama:
Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r. ALCOSP 2007: 75-80 - 2006
- [c1]Masayuki Kobayashi, Tetsuya Yukawa, Yasuhito Kuze, Tetsuro Matsui, Tatsuya Iizaka, Yoshikazu Fukuyama:
Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions. IJCNN 2006: 3754-3759
Coauthor Index
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