Tetsuro Matsui - researchr alias

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Viewing Publication 1 - 29 from 29

2021

Fault Detection of Hydroelectric Generators by Robust Random Cut Forest with Feature Selection Using Hilbert-Schmidt Independence CriterionYuki Hara, Yoshikazu Fukuyama, Kiyo Arai, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui. smartiot 2021: 136-143 [doi]

2020

Fault Detection of Hydroelectric Generators using Isolation ForestYuki Hara, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui. sice 2020: 864-869 [doi]

Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and CorrentropyNaoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui. cec 2020: 1-8 [doi]

Clustering-Based Data Reduction Approach to Speed up SVM in Classification and Regression TasksAdamo Santana, Souta Inoue, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui. ieaaie 2020: 478-488 [doi]

A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load ForecastingNaoki Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui. sice 2020: 581-586 [doi]

Mild Action Blending Policy on Deep Reinforcement Learning with Discretized Actions for Process ControlYoshio Tange, Satoshi Kiryu, Tetsuro Matsui. sice 2020: 587-592 [doi]

One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power PlantsTakahiro Yamasaki, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui. sice 2020: 870-875 [doi]

Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative CoevolutionMiao Zheng, Yoshikazu Fukuyama, Mohammed El-Abd, Tatsuya Iizaka, Tetsuro Matsui. cec 2020: 1-7 [doi]

2019

Dependable Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution for On-line Energy Plant Optimal Operation PlanningKiyo Arai, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui. ssci 2019: 2664-2670 [doi]

Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm OptimizationNaoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui. swarm 2019: 286-296 [doi]

Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm OptimizationNaoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui. ssci 2019: 808-814 [doi]

12, 15Mayuko Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui. algorithms, 12(6):125, 2019. [doi]

Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with MigrationMayuko Sato, Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui. algorithms, 12(1):15, 2019. [doi]

Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm OptimizationMayuko Sato, Yoshikazu Fukuyama, Mohammed El-Abd, Tatsuya Iizaka, Tetsuro Matsui. cec 2019: 681-688 [doi]

Model Predictive Control Based on Deep Reinforcement Learning Method with Discrete-Valued InputYoshio Tange, Satoshi Kiryu, Tetsuro Matsui. ccta 2019: 308-313 [doi]

2018

2017

Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systemsSohei Iwata, Yoshikazu Fukuyama, Toru Jintsugawa, Hisashi Fujimoto, Tetsuro Matsui. ssci 2017: 1-7 [doi]

Parallel dependable multi-population differential evolutionary particle swarm optimization for on-line optimal operational planning of energy plantsNorihiro Nishimura, Yoshikazu Fukuyama, Tetsuro Matsui. ssci 2017: 1-7 [doi]

Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm OptimizationNorihiro Nishimura, Yoshikazu Fukuyama, Tetsuro Matsui. swarm 2017: 233-241 [doi]

Estimation of missing data of showcase using artificial neural networksDaiji Sakurai, Yoshikazu Fukuyama, Adamo Santana, Yu Kawamura, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui. IEEEiwcia 2017: 15-18 [doi]

2015

Overshoot suppression control based on final tracking error estimation and quantifier eliminationYoshio Tange, Satoshi Kiryu, Tetsuro Matsui. ascc 2015: 1-6 [doi]

2014

A direct quantifier elimination approach for offline multi-rate predictive control with constraintsYoshio Tange, Satoshi Kiryu, Tetsuro Matsui. med 2014: 390-395 [doi]

2010

2007

Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter?Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama, Ryohei Suzuki, Eitaro Aiyoshi. IEEEisic 2007: 646-651 [doi]

Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas rShiro Masuda, Akira Fujimori, Hideyuki Nishida, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama. alcosp 2007: 75-80 [doi]

2006

Electric Load Forecasting using Scatter Search Based Weighted Average Weather ConditionsMasayuki Kobayashi, Tetsuya Yukawa, Yasuhito Kuze, Tetsuro Matsui, Tatsuya Iizaka, Y. Fukuyama. ijcnn 2006: 3754-3759 [doi]

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