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Fingerprint Dive into the research topics where Mikio Hasegawa is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series

Takeuchi, S., Hasegawa, M., Kanno, K., Uchida, A., Chauvet, N. & Naruse, M., 1 Dec 2020, In : Scientific reports. 10, 1, 1574.

Research output: Contribution to journalArticle

Open Access
  • A Machine-Learning-Based Channel Assignment Algorithm for IoT

    Ma, J., Nagatsuma, T., Kim, S. J. & Hasegawa, M., 18 Mar 2019, 1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019. Institute of Electrical and Electronics Engineers Inc., p. 467-472 6 p. 8669028. (1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019).

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

  • 1 Citation (Scopus)

    An Evaluation of Wooden House Health Monitoring System using PVDF Piezoelectric Sensor with 3-layer Neural Network and Inverted Binary-Data Augmentation

    Takahashi, N., Sakiyama, N., Yamamoto, T., Kishi, S., Hashizume, Y., Nakajima, T., Yamamoto, T., Hasegawa, M., Ito, T. & Kawahara, T., Jan 2019, SAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 135-140 6 p. 8782723. (SAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings).

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

  • 1 Citation (Scopus)

    A reinforcement-learning-based distributed resource selection algorithm for massive IoT

    Ma, J., Hasegawa, S., Kim, S. J. & Hasegawa, M., 1 Sep 2019, In : Applied Sciences (Switzerland). 9, 18, 3730.

    Research output: Contribution to journalArticle

    Open Access
  • Autonomous Wireless System Optimization Method based on Cross-layer Modeling using Machine Learning

    Oshima, K., Ma, J. & Hasegawa, M., Jul 2019, ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, p. 239-244 6 p. 8806031. (International Conference on Ubiquitous and Future Networks, ICUFN; vol. 2019-July).

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