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Fingerprint Dive into the research topics where Yoshito Ogata is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Neural networks Engineering & Materials Science
Biodegradability Engineering & Materials Science
Resilience Mathematics
Biodegradation Engineering & Materials Science
Ammonia Chemical Compounds
Artificial Neural Network Mathematics
Acids Engineering & Materials Science
Recycling Engineering & Materials Science

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Research Output 2006 2019

  • 1 Citations
  • 1 h-Index
  • 2 Conference contribution
  • 2 Article
  • 2 Conference article
Open Access
Biodegradability
Biodegradation
Recycling
Acids
Composite materials
1 Citation (Scopus)

Different reaction mechanisms of ammonia oxidation reaction on Pt/Al2O3 and Pt/CeZrO2 with various Pt states

Sun, M., Liu, J., Song, C., Ogata, Y., Rao, H., Zhao, X., Xu, H. & Chen, Y., Jan 1 2019, In : ACS Applied Materials and Interfaces. 11, 26, p. 23102-23111 10 p.

Research output: Contribution to journalArticle

Ammonia
Metals
Oxidation
Carbon Monoxide
Impregnation

A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network

Song, C., Ogata, Y. & He, J., Sep 20 2018, Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018. Xu, B. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 2119-2123 5 p. 8469633. (Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Resilience
Artificial Neural Network
Neural networks
Statistical methods
Questionnaire

Research on the image of sweeping robot based on the Artificial Neural Network

Song, C. & Ogata, Y., Dec 5 2017, In : MATEC Web of Conferences. 139, 00059.

Research output: Contribution to journalConference article

Robots
Neural networks
Statistical methods
Semantics
Experiments

The application of speed warning on highway using anti-dazzle panel based on persistence of vision effect

Liu, J. & Ogata, Y., Jan 1 2014, Mechanical Components and Control Engineering III. Ge, W. (ed.). Trans Tech Publications Ltd, p. 1462-1465 4 p. (Applied Mechanics and Materials; vol. 668-669).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Color
Painting
Animation