Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Yasuaki Kuroe"'
Autor:
Yasuaki Kuroe, Hitoshi Iima
Publikováno v:
IEEE Access, Vol 12, Pp 107353-107367 (2024)
Multi-agent systems appear in a wide variety of fields and there have been several studies on multi-agent reinforcement learning. Dilemma problems are typical classes of multi-agent problems. In these problems, the best policy for each agent differs
Externí odkaz:
https://doaj.org/article/a6c284d4640146a1b19655d23a9c0841
Publikováno v:
IEEE Access, Vol 11, Pp 62639-62651 (2023)
Accurately determining the magnetohydrodynamic (MHD) equilibrium is fundamentally important in controlling and stabilizing fusion plasmas. Development of reliable methods for equilibrium reconstruction is therefore crucial to advancing the fusion pla
Externí odkaz:
https://doaj.org/article/ea609c45f3a44d3cb75fccd5979fdffc
Publikováno v:
IEEE Access, Vol 9, Pp 74739-74751 (2021)
Carbon-free energy sources are essential to avoid global warming, and nuclear fusion is expected to play a major role in achieving clean and sustainable energy. In the development of magnetic fusion, there exist a lot of issues related with plasma eq
Externí odkaz:
https://doaj.org/article/8ba5e1f411f14132affffd282bf66aab
Autor:
Yasuaki Kuroe
Publikováno v:
Design Science and Innovation ISBN: 9789811977756
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26b083c162b006fc8d36ab36d1dc900e
https://doi.org/10.1007/978-981-19-7776-3_4
https://doi.org/10.1007/978-981-19-7776-3_4
Autor:
Yasuaki Kuroe, Yoshihiro Mori
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Publikováno v:
IEEE Access, Vol 9, Pp 74739-74751 (2021)
Carbon-free energy sources are essential to avoid global warming, and nuclear fusion is expected to play a major role in achieving clean and sustainable energy. In the development of magnetic fusion, there exist a lot of issues related with plasma eq
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 56:483-494
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
IJCNN
In artificial Spiking Neural Networks (SNNs) the information processing and transmission are carried out by spike trains in a manner similar to the generic biological neurons. Recently it has been reported that they are computationally more powerful
Publikováno v:
IFAC-PapersOnLine. 52:135-142
As the synthetic biology community continues to refine experimental techniques for construction of gene regulatory networks, there is continued need for computational design tools to efficiently achieve desired performance. Tracking controllers play