• 552 引用
  • 11 h指数
20002020

年単位の研究成果

Pureに変更を加えた場合、すぐここに表示されます。

フィンガープリント Jin Nakazawaが有効な場合、研究トピックを掘り下げます。このトピックラベルは、この人物の業績からのものです。これらはともに一意のフィンガープリントを構成します。

  • 11 同様のプロファイル

ネットワーク 最近の国レベルでの外部協力。点をクリックして詳細を開いてください。

研究成果

Introduction to the special issue on software papers

Ugawa, T., Umatani, S., Nakazawa, J., Hayashi, S. & Banbara, M., 2020, : : Computer Software. 37, 1, 1 p.

研究成果: Editorial

AffectiveNemo: Promoting owner-fish interaction by displaying observed fish emotion with speech bubble

Isokawa, N., Okoshi, T. & Nakazawa, J., 2019 11 12, ACI 2019 - 6th International Conference on Animal-Computer Interaction: Common Denominator, Proceedings. Association for Computing Machinery, 3371067. (ACM International Conference Proceeding Series).

研究成果: Conference contribution

  • CityFlow: Exploiting Edge Computing for Large Scale Smart City Applications

    Giang, N. K., Leung, V. C. M., Kawano, M., Yonezawa, T., Nakazawa, J., Lea, R. & Broadbent, M., 2019 4 1, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8679234. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

    研究成果: Conference contribution

  • Cruisers: An automotive sensing platform for smart cities using door-to-door garbage collecting trucks

    Chen, Y., Nakazawa, J., Yonezawa, T. & Tokuda, H., 2019 3 15, : : Ad Hoc Networks. 85, p. 32-45 14 p.

    研究成果: Article

  • 4 引用 (Scopus)

    Damaged lane markings detection method with label propagation

    Nukita, T., Kishimoto, Y., Iida, Y., Kawano, M., Yonezawa, T. & Nakazawa, J., 2019 1 9, Proceedings - 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2018. Institute of Electrical and Electronics Engineers Inc., p. 203-208 6 p. 8607250. (Proceedings - 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2018).

    研究成果: Conference contribution