研究業績
“MAP-Elites アルゴリズムを用いた予測困難なトラヒック変動への適応性を有する仮想ネットワーク埋め込み手法”, 電子情報通信学会NS研究会
2022年6月10日
大月天渡, 小南大智, 大歳達也, 下西英之, 村田正幸 https://ken.ieice.org/ken/paper/20220610RCkC/
"Beyond 5G vision and probabilistic digital twin" CiNet Friday Lunch Seminar
2022年6月10日
Hideyuki Shimonishi https://cinet.jp/japanese/event/20220610_4027/
"Spreading Factor Allocation Method Adaptive to Changing Environments for LoRaWAN Based on Thermodynamical Genetic Algorithm", IWCMC 2022 Wireless Networking Symposium
2022年6月1日
Yuki Fujita, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata https://doi.org/10.1109/IWCMC55113.2022.982 […]
‘High-Performance Virus Detection System by using Deep Learning' IEEE WCCI 2020 Coference, July,2020.
2020年7月22日
Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka and […]
‘Feasibility Study of Liquid Immersion Technology for Cooling Network Equipment' OCP Future Technologies Symposium, May,2020.
2020年5月31日
Natsuko Kobayashi, Kazuhiro Matsuda, Yasunori Ooka and Morito Matsuoka
‘Toward an Online Network Intrusion Detection System Based on Ensemble Learning’ IEEE International Conference on Cloud Computing 2019, July,2019.
2019年7月22日
Ying-Feng Hsu, ZhenYu He, Yuya Tarutani, Morito Matsuoka
‘Real-time workload allocation optimizer for computing systems by using deep learning' IEEE International Conference on Cloud Computing 2019, July,2019.
2019年7月22日
Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka
‘Toward a Workload Allocation Optimizer for Power Saving in Data Centers’ IEEE International Conference on Cloud Engineering (IC2E), July,2019.
2019年7月16日
Ying-Feng Hsu, Hayato Kuwahara, Kazuhiro Matsuda, and Morito Matsuoka
‘Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification’ AIME 2019 17th Conference on Artificial Intelligence in Medicine, July,2019.
2019年7月11日
Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, an […]
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