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Fingerprint Shigeru Takanoが取り組む研究トピックをご確認ください。これらのトピックラベルは、この人物の研究に基づいています。これらを共に使用することで、固有の認識が可能になります。

  • 2 同様のプロファイル
Wavelet transforms Engineering & Materials Science
Robots Engineering & Materials Science
Mobile robots Engineering & Materials Science
Signal detection Engineering & Materials Science
Wavelets Mathematics
Evolutionary algorithms Engineering & Materials Science
Electrocardiography Engineering & Materials Science
Robot Mathematics

ネットワーク 最近の共同研究。丸をクリックして詳細を確認しましょう。

研究成果 1997 2018

3 引用 (Scopus)

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

Maki, N., Nakamura, S., Takano, S. & Okada, Y., 1 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. (版). Springer Verlag, p. 768-777 10 p. (Advances in Intelligent Systems and Computing; 巻数 611).

研究成果: 著書/レポートタイプへの貢献会議での発言

Agriculture
Beef
Sensors
Synchronization
Animals

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

Takano, S., 6 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).

研究成果: 著書/レポートタイプへの貢献会議での発言

Network architecture
Deep neural networks

3D Model Generation of Black Cattle Using Multiple RGB Cameras for Their BCS

Tamari, H., Nakamura, S., Takano, S. & Okada, Y., 8 24 2017, p. 812-821. 10 p.

研究成果: 会議への寄与タイプ論文

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

Takano, S., Hori, M., Goto, T., Uchida, S., Kurazume, R. & Taniguchi, R. I., 1 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. (版). SciTePress, 巻 2017-January. p. 676-683 8 p. (ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods; 巻数 2017-January).

研究成果: 著書/レポートタイプへの貢献会議での発言

Statistics
Deep learning
1 引用 (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., 2 1 2017, : : Journal of Intelligent Information Systems. 48, 1, p. 75-115 41 p.

研究成果: ジャーナルへの寄稿記事

Robots
Monitoring
Experiments