Masaru Teranishi

According to our database, Masaru Teranishi authored at least 24 papers between 1991 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2019

Peculiarity Classification of Flat Finishing Skill Training by using Torus Type Self-Organizing Maps with Cluster Maps.

Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno

Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training.

Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps Part 2: Improvement of Clustering Performance Based on Codebook Vector Density.

Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno

Proceedings of the Distributed Computing and Artificial Intelligence, 2019

2018

Development of Flat Finishing Skill Training System Based on Personal Peculiarity Classification of Tool Trajectory.

Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno

Proceedings of the 7th International Congress on Advanced Applied Informatics, 2018

Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps.

Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno

Proceedings of the Distributed Computing and Artificial Intelligence, 2018

Blur Restoration of Confocal Microscopy with Depth and Horizontal Dependent PSF.

Yuichi Morioka, Katsufumi Inoue, Michifumi Yoshioka, Masaru Teranishi, Takashi Murayama

Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017

Examining efficient instructional methods for computer-aided brush coating skill training system in elementary and secondary education.

Nobuto Fujimoto, Shimpei Matsumoto, Masaru Teranishi, Hidetoshi Takeno, Tatsushi Tokuyasu

Artif. Life Robotics, 2017

Flat Finishing Skill Training Software System Based on Personal Peculiarity Classification.

Masaru Teranishi, Shinpei Matsumoto, Hidetoshi Takeno

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2017

Personal Peculiarity Classification of Flat Finishing Skill Training by using Torus type Self-Organizing Maps.

Masaru Teranishi, Shinpei Matsumoto, Nobuto Fujimoto, Hidetoshi Takeno

Proceedings of the Distributed Computing and Artificial Intelligence, 2017

2016

Improved neural network tomography by initial learning with coarse reconstructed image.

Masaru Teranishi

Neurocomputing, 2016

A brush coating skill training system for manufacturing education at Japanese elementary and junior high schools.

Shimpei Matsumoto, Nobuto Fujimoto, Masaru Teranishi, Hidetoshi Takeno, Tatsushi Tokuyasu

Artif. Life Robotics, 2016

Personal Peculiarity Classification of Flat Finishing Motion for Skill Training by Using Expanding Self-Organizing Maps.

Masaru Teranishi, Shinpei Matsumoto, Nobuto Fujimoto, Hidetoshi Takeno

Proceedings of the Distributed Computing and Artificial Intelligence, 2016

2015

Image restoration of confocal microscopy based on deconvolution algorithms for biological structure.

Isao Yamashita, Masaru Teranishi, Michifumi Yoshioka, Takashi Murayama, Yoshitaka Kimori

Proceedings of the 10th Asian Control Conference, 2015

Personal peculiarity classification of flat finishing tool motion by using self-organizing maps for skill training.

Masaru Teranishi, Shinpei Matsumoto, Hidetoshi Takeno

Proceedings of the 10th Asian Control Conference, 2015

2014

Stable Learning for Neural Network Tomography by Using Back Projected Image.

Masaru Teranishi, Keita Oka, Masahiro Aramoto

Proceedings of the Distributed Computing and Artificial Intelligence, 2014

2009

Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Artif. Life Robotics, 2009

2008

Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008

Fatigue Level Estimation of Bill by Using Supervised SOM Based on Feature-Selected Acoustic Energy Pattern.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2002

Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the Artificial Neural Networks, 2002

2000

Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

J. Adv. Comput. Intell. Intell. Informatics, 2000

Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

New and used bills classification for cepstrum patterns.

Masaru Teranishi, Sigeru Omato, Toshihisa Kosaka

Proceedings of the International Joint Conference Neural Networks, 1999

1998

New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1991

A new neuron model "cone" with fast convergence rate and its application to pattern recognition.

Minoru Fukumi, Sigeru Omatu, Masaru Teranishi

Syst. Comput. Jpn., 1991