Information, Production and Systems Research Center

  • Japan

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Network Programming Mathematics
Classifiers Engineering & Materials Science
Genetic Network Mathematics
Genetic Programming Mathematics
Support vector machines Engineering & Materials Science
Quartz Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Resonators Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

No photo of Xun Pan

Xun Pan

Person: Academic

20142017
No photo of Jyun Rong Zhuang
20172019

Research Output 1976 2019

Highly Efficient, Flexible Wireless-Powered Circuit Printed on a Moist, Soft Contact Lens

Takamatsu, T., Chen, Y., Yoshimasu, T., Nishizawa, M. & Miyake, T., 2019 Jan 1, In : Advanced Materials Technologies. 1800671.

Research output: Contribution to journalArticle

Contact lenses
Printed circuits
Eyeglasses
Lenses
Networks (circuits)

One-Class Classification Using Quasi-Linear Support Vector Machine

Liang, P., Li, W., Wang, Y. & Furuzuki, T., 2019 Jan 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 662-667 6 p. 8616117. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

Support vector machines
Linear networks
Classifiers
Support Vector Machine
Support vector machine

Real-Time Delay Minimization for Data Processing in Wirelessly Networked Disaster Areas

Wang, Y., Meyer, M. C. & Wang, J., 2019 Jan 1, In : IEEE Access. 7, p. 2928-2937 10 p., 8571231.

Research output: Contribution to journalArticle

Disasters
Time delay
Genetic algorithms
Telecommunication networks
Fog