Zobrazeno 1 - 10
of 73 542
pro vyhledávání: '"Ohya A"'
Autor:
Oya, Shunsuke1 (AUTHOR), Imaizumi, Fumitoshi2 (AUTHOR) imaizumi@shizuoka.ac.jp, Takayama, Shoki2 (AUTHOR)
Publikováno v:
Earth Surface Dynamics. 2024, Vol. 12 Issue 1, p67-86. 20p.
Akademický článek
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Publikováno v:
Earth Surface Dynamics, Vol 12, Pp 67-86 (2024)
The characteristics of debris flows (e.g., mobility, sediment concentration, erosion, and deposition of sediment) are dependent on the pore water pressure in the flows. Therefore, understanding the magnitude of pore water pressure in debris flows is
Externí odkaz:
https://doaj.org/article/d8854d8ffe0547efb884fcca98a183fd
Autor:
Noboru Watanabe
This volume is a collection of articles written by Professor M Ohya over the past three decades in the areas of quantum teleportation, quantum information theory, quantum computer, etc. By compiling Ohya's important works in these areas, the book ser
Publikováno v:
In Geomorphology 15 February 2021 375
Autor:
Muthoharoh, Luluk1 (AUTHOR), Hardhienata, Hendradi1 (AUTHOR), Alatas, Husin1 (AUTHOR) alatas@apps.ipb.ac.id
Publikováno v:
Journal of Biological Physics. Sep2020, Vol. 46 Issue 3, p297-307. 11p.
Autor:
Imaizumi, Fumitoshi, Masui, Takeshi, Yokota, Yushi, Tsunetaka, Haruka, Hayakawa, Yuichi S., Hotta, Norifumi
Publikováno v:
In Geomorphology 15 August 2019 339:58-69
Autor:
Kaneta-Takada, Shingo, Wakabayashi, Yuki K., Shinya, Hikari, Taniyasu, Yoshitaka, Yamamoto, Hideki, Krockenberger, Yoshiharu, Tanaka, Masaaki, Ohya, Shinobu
Interconversion between charge and spin currents is a key phenomenon in realizing next-generation spintronic devices. Highly efficient spin-charge interconversion is expected to occur at band crossing points in materials with large spin-orbit interac
Externí odkaz:
http://arxiv.org/abs/2409.12598
Autor:
Kich, Victor Augusto, Bottega, Jair Augusto, Steinmetz, Raul, Grando, Ricardo Bedin, Yorozu, Ayano, Ohya, Akihisa
In this work, we present Curled-Dreamer, a novel reinforcement learning algorithm that integrates contrastive learning into the DreamerV3 framework to enhance performance in visual reinforcement learning tasks. By incorporating the contrastive loss f
Externí odkaz:
http://arxiv.org/abs/2408.05781
Autor:
Kich, Victor Augusto, Kolling, Alisson Henrique, de Jesus, Junior Costa, Heisler, Gabriel V., Jacobs, Hiago, Bottega, Jair Augusto, Kelbouscas, André L. da S., Ohya, Akihisa, Grando, Ricardo Bedin, Drews-Jr, Paulo Lilles Jorge, Gamarra, Daniel Fernando Tello
This paper introduces novel deep reinforcement learning (Deep-RL) techniques using parallel distributional actor-critic networks for navigating terrestrial mobile robots. Our approaches use laser range findings, relative distance, and angle to the ta
Externí odkaz:
http://arxiv.org/abs/2408.05744