Kenya Murakami

According to our database, Kenya Murakami authored at least 11 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2023

Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion.

Masato Igarashi, Yoshikazu Fukuyama, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Adamo Santana, Tetsuro Matsui

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion.

Masato Igarashi, Yoshikazu Fukuyama, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

Fault Detection of Hydroelectric Generators by Robust Random Cut Forest with Feature Selection Using Hilbert-Schmidt Independence Criterion.

Yuki Hara, Yoshikazu Fukuyama, Kiyo Arai, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui

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.

Takahiro Yamasaki, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui

Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020

Fault Detection of Hydroelectric Generators using Isolation Forest.

Yuki Hara, Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui

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.

Adamo Santana, Souta Inoue, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy.

Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization.

Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui

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.

Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2017

Estimation of missing data of showcase using artificial neural networks.

Daiji Sakurai, Yoshikazu Fukuyama, Adamo Santana, Yu Kawamura, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui

Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017

2004

A decision support system for designing business strategies - an application to soft drink business.

Itsuo Hatono, Kenichi Kurotani, Kenya Murakami, Nobutada Fujii, Kanji Ueda

Proceedings of the IEEE International Conference on Systems, 2004