• 44 Citations
  • 4 h-Index
20092019
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Fingerprint Dive into the research topics where Hiroyuki Kodama is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Data mining Engineering & Materials Science
Decision support systems Engineering & Materials Science
Engineers Engineering & Materials Science
Drilling Engineering & Materials Science
Printed circuit boards Engineering & Materials Science
Milling (machining) Engineering & Materials Science
Grinding wheels Engineering & Materials Science
Cutting tools Engineering & Materials Science

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Research Output 2009 2019

  • 44 Citations
  • 4 h-Index
  • 28 Conference contribution
  • 10 Article
  • 1 Paper

Catalog mining using MIC (Maximal Information Coefficient) of radius end mill tool

Sakuma, T., Hirogaki, T., Aoyama, E., Kubo, K. & Kodama, H., Jan 1 2019, In : Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering. 85, 3, p. 260-266 7 p.

Research output: Contribution to journalArticle

Data mining
Processing
Machine tools
Statistics

Concentric mutual lapping to improve sliding surface function of SiC ceramics

Kodama, H., Koyama, H., Ishii, T., Tanimoto, Y. & Ohashi, K., Jan 1 2019, In : International Journal of Automation Technology. 13, 6, p. 756-764 9 p.

Research output: Contribution to journalArticle

Lapping
Surface topography
Starch
Interferometers
Friction

Decision support system for principal factors of grinding wheel using data mining methodology

Kodama, H., Uotani, I. & Oohashi, K., Jan 1 2019, In : International Journal of Abrasive Technology. 9, 2, p. 89-98 10 p.

Research output: Contribution to journalArticle

Grinding wheels
Decision support systems
Data mining
Decision trees
Surface properties

Aiding of micro end-milling condition decision using data-mining from tool catalog data

Kodama, H., Okuda, K. & Tanaka, K., Jan 1 2018, In : International Journal of Automation Technology. 12, 2, p. 238-245 8 p.

Research output: Contribution to journalArticle

Slotting
Data mining
Carbides
Engineers
Experiments

Decision support system for grinding wheel selection using data-mining

Kodama, H., Oohashi, K. & Uotani, I., Jan 1 2018, European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 18th International Conference and Exhibition, EUSPEN 2018. Riemer, O., Savio, E., Billington, D., Leach, R. K. & Phillips, D. (eds.). euspen, p. 213-214 2 p.

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

decision support systems
data mining
Grinding wheels
grinding
Decision support systems