Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Toshiaki Koike-Akino"'
Autor:
Takuya Fujihashi, Toshiaki Koike-Akino
Publikováno v:
IEEE Access, Vol 12, Pp 1163-1171 (2024)
Communication of bioelectric signals, such as electroencephalography (EEG) signals, will be a key technology for smooth interaction between users and remote robots. The existing solutions use an orthogonal transform for EEG signal compression, such a
Externí odkaz:
https://doaj.org/article/f2a5e1fee1554e0dbd5f4ae936f9fcc2
Publikováno v:
IEEE Access, Vol 9, Pp 39955-39972 (2021)
Learning data representations that capture task-related features, but are invariant to nuisance variations remains a key challenge in machine learning. We introduce an automated Bayesian inference framework, called AutoBayes, that explores different
Externí odkaz:
https://doaj.org/article/fe0d3c0742b4491b954b78011a5d3593
Publikováno v:
IEEE Access, Vol 8, Pp 27074-27085 (2020)
Discovering and exploiting shared, invariant neural activity in electroencephalogram (EEG) based classification tasks is of significant interest for generalizability of decoding models across subjects or EEG recording sessions. While deep neural netw
Externí odkaz:
https://doaj.org/article/af172f5b39a44208b275e30348cf3898
Publikováno v:
IEEE Access, Vol 8, Pp 84879-84892 (2020)
Existing fingerprint-based indoor localization uses either fine-grained channel state information (CSI) from the physical layer or coarse-grained received signal strength indicator (RSSI) measurements. In this paper, we propose to use a mid-grained i
Externí odkaz:
https://doaj.org/article/058cbd2550d44b56b9a5ee16b3ae4b42
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Remote machine systems have drawn a lot of attention owing to accelerations of virtual reality (VR), augmented reality (AR), and the fifth generation (5G) networks. Despite recent trends of developing autonomous systems, the realization of sophistica
Externí odkaz:
https://doaj.org/article/2f722e0873ed45dcb45e9720c5a4349b
Autor:
TAKUYA FUJIHASHI1 tfuji@ist.osaka-u.ac.jp, TOSHIAKI KOIKE-AKINO2 watanabe@ist.osaka-u.ac.jp, TAKASHI WATANABE1 koike@merl.com
Publikováno v:
ACM Computing Surveys. Feb2024, Vol. 56 Issue 2, p1-37. 37p.
Publikováno v:
IEEE Internet of Things Journal. 9:23810-23825
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos, Petar Popovski
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Yehan Ma, Yebin Wang, Stefano Di Cairano, Toshiaki Koike-Akino, Jianlin Guo, Philip Orlik, Xinping Guan, Chenyang Lu
Publikováno v:
IEEE Transactions on Automation Science and Engineering. :1-15