Re-stabilizing large-scale network systems using high-dimension low-sample-size data analysis

Xun Shen^*, Hampei Sasahara, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara

^*この論文の責任著者

研究成果: ジャーナルへの寄稿 › 学術論文 › 査読

本文言語	アメリカ英語
ジャーナル	IEEE Transactions on Emerging Topics in Computational Intelligence
DOI	https://doi.org/10.1109/TETCI.2024.3442824
出版ステータス	出版済み - 2024/08/20

文献へのアクセス

@article{9552f42b8a744b558cda0285a7cb5f97,

title = "Re-stabilizing large-scale network systems using high-dimension low-sample-size data analysis",

author = "Xun Shen and Hampei Sasahara and Jun-ichi Imura and Makito Oku and Kazuyuki Aihara",

year = "2024",

month = aug,

day = "20",

doi = "10.1109/TETCI.2024.3442824",

language = "American English",

journal = "IEEE Transactions on Emerging Topics in Computational Intelligence",

issn = "2471-285X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Re-stabilizing large-scale network systems using high-dimension low-sample-size data analysis

AU - Shen, Xun

AU - Sasahara, Hampei

AU - Imura, Jun-ichi

AU - Oku, Makito

AU - Aihara, Kazuyuki

PY - 2024/8/20

Y1 - 2024/8/20

U2 - 10.1109/TETCI.2024.3442824

DO - 10.1109/TETCI.2024.3442824

M3 - Article

SN - 2471-285X

JO - IEEE Transactions on Emerging Topics in Computational Intelligence

JF - IEEE Transactions on Emerging Topics in Computational Intelligence

ER -