Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Yoko Sasaki"'
Autor:
Miyabi Nakabayashi, Takumi Tsutaya, Abdul Hamid Ahmad, Yoko Sasaki, Nanako O. Ogawa, Naoto F. Ishikawa, Naohiko Ohkouchi
Publikováno v:
Progress in Earth and Planetary Science, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract We applied stable carbon and nitrogen isotopic analyses to understand the faunivory of the four sympatric wild Paradoxurinae civet species in Borneo, which share similar ecological characteristics. We also employed compound-specific nitrogen
Externí odkaz:
https://doaj.org/article/def4d1e036d74d5cb7a17d58fe987f55
Autor:
Kenta Tsutsui, Yoshitaka Terazaki, Risa Kanai, Masako Ishii, Seika Ohno, Yoko Sasaki, Akira Kitamura, Daisuke Kudo, Wataru Sasaki, Naomichi Tanaka, Masataka Narita, Kazuhisa Matsumoto, Hitoshi Mori, Yoshifumi Ikeda, Takahide Arai, Shintaro Nakano, Ritsushi Kato
Publikováno v:
Journal of Arrhythmia, Vol 40, Iss 2, Pp 349-355 (2024)
Abstract Objective Postoperative pain is a major issue with subcutaneous implantable cardioverter defibrillators (S‐ICD). In 2020, we introduced intravenous patient‐controlled analgesia (IV‐PCA) in addition to the conventional, request‐based
Externí odkaz:
https://doaj.org/article/aaa6706f45d64ee0ac9937a3047f1a16
Autor:
Miyabi Nakabayashi, Takumi Tsutaya, Abdul Hamid Ahmad, Yoko Sasaki, Nanako O. Ogawa, Naoto F. Ishikawa, Naohiko Ohkouchi
Publikováno v:
Progress in Earth and Planetary Science, Vol 11, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/ef2d73ea07864366aa24f8922bf86417
Publikováno v:
PeerJ Computer Science, Vol 9, p e1641 (2023)
This article proposes a means of autonomous mobile robot navigation in dense crowds based on predicting pedestrians’ future trajectories. The method includes a pedestrian trajectory prediction for a running mobile robot and spatiotemporal path plan
Externí odkaz:
https://doaj.org/article/7c2661a5ee0a43daac43a2194f2c2d61
Autor:
Akira Utsunomiya, Takenao Chino, Hiroshi Kasamatsu, Takumi Hasegawa, Natsuko Utsunomiya, Vu Huy Luong, Takashi Matsushita, Yoko Sasaki, Dai Ogura, Shin-ichiro Niwa, Noritaka Oyama, Minoru Hasegawa
Publikováno v:
Arthritis Research & Therapy, Vol 24, Iss 1, Pp 1-15 (2022)
Abstract Background Systemic sclerosis (SSc) is a collagen disease that exhibits intractable fibrosis and vascular injury of the skin and internal organs. Transforming growth factor-β (TGF-β)/Smad signaling plays a central role in extracellular mat
Externí odkaz:
https://doaj.org/article/b68308a6286e442d85d4b00233c720ac
Autor:
Ryuji Toue, Kazuhiko Fujita, Masashi Tsuchiya, Yoshito Chikaraishi, Yoko Sasaki, Naohiko Ohkouchi
Publikováno v:
Progress in Earth and Planetary Science, Vol 9, Iss 1, Pp 1-11 (2022)
Abstract Based on laboratory observations, planktonic foraminifers are omnivorous, feeding zooplankton and phytoplankton. Spinose species tend toward greater dependence on zooplankton prey than on phytoplankton prey, while non-spinose species are mor
Externí odkaz:
https://doaj.org/article/448c1a07c8a44f968e4e61dd9881f637
Publikováno v:
IEEE Access, Vol 10, Pp 32244-32254 (2022)
The 3D maps are used for self-positioning estimation and path planning for the autonomous navigation of robots in urban areas. This paper presents a framework that generates globally consistent 3D maps from the pose graph of existing simultaneous loc
Externí odkaz:
https://doaj.org/article/3cbb671822754919a1a67b7b7004b1d0
Publikováno v:
IEEE Access, Vol 9, Pp 38718-38730 (2021)
Sound source localization and separation are essential functions for robot audition to comprehend acoustic environments. The widely-used multiple signal classification (MUSIC) can precisely estimate the directions of arrival (DoAs) of multiple sound
Externí odkaz:
https://doaj.org/article/c46a8e69a6bb4fe7b99ff16855a5a28c
Publikováno v:
IEEE Access, Vol 8, Pp 88443-88452 (2020)
In this paper, we propose an automatic labeled sequential data generation pipeline for human segmentation and velocity estimation with point clouds. Considering the impact of deep neural networks, state-of-the-art network architectures have been prop
Externí odkaz:
https://doaj.org/article/e0e8f84788b146eba68ef0de9fe082c2
Publikováno v:
IEEE Access, Vol 7, Pp 55132-55141 (2019)
Following the improvements in deep neural networks, state-of-the-art networks have been proposed for human segmentation using point clouds captured by light detection and ranging. However, the performance of these networks depends significantly on th
Externí odkaz:
https://doaj.org/article/68defde1a8c04272ad8c19b1a5f36c8b