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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Wavelet transforms Engineering & Materials Science
Robots Engineering & Materials Science
wavelet Earth & Environmental Sciences
Mobile robots Engineering & Materials Science
Signal detection Engineering & Materials Science
Wavelets Mathematics
Evolutionary algorithms Engineering & Materials Science
Electrocardiography Engineering & Materials Science

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Research Output 1997 2018

  • 178 Citations
  • 7 h-Index
  • 43 Conference contribution
  • 15 Article
  • 4 Chapter
  • 1 Conference article
3 Citations (Scopus)

3D model generation of cattle using multiple depth-maps for ICT agriculture

Maki, N., Nakamura, S., Takano, S. & Okada, Y., Jan 1 2018, Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017. Barolli, L. & Terzo, O. (eds.). Springer Verlag, p. 768-777 10 p. (Advances in Intelligent Systems and Computing; vol. 611).

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

Agriculture
Beef
Sensors
Synchronization
Animals

LcwtNet: Lifting complex wavelet layers for constructing a compact DNN model

Takano, S., Jun 18 2018, 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017. Institute of Electrical and Electronics Engineers Inc., p. 288-293 6 p. (2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017).

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

Network architecture
Deep neural networks

Deep learning-based prediction method for people flows and their anomalies

Takano, S., Hori, M., Goto, T., Uchida, S., Kurazume, R. & Taniguchi, R. I., Jan 1 2017, ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. Fred, A., De Marsico, M. D. & di Baja, G. S. (eds.). SciTePress, Vol. 2017-January. p. 676-683 8 p. (ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods; vol. 2017-January).

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

Statistics
Deep learning
1 Citation (Scopus)

Skeleton clustering by multi-robot monitoring for fall risk discovery

Deguchi, Y., Takayama, D., Takano, S., Scuturici, V. M., Petit, J. M. & Suzuki, E., Feb 1 2017, In : Journal of Intelligent Information Systems. 48, 1, p. 75-115 41 p.

Research output: Contribution to journalArticle

Robots
Monitoring
Experiments

Using a simple electroencephalograph for activity recognition of learners

Baba, K., Abe, H. & Takano, S., Jan 1 2017, In : IEEJ Transactions on Electronics, Information and Systems. 137, 3, p. 542-546 5 p.

Research output: Contribution to journalArticle

Brain
Support vector machines
Experiments