Zobrazeno 1 - 10
of 358
pro vyhledávání: '"KENJI KASHIMA"'
Autor:
Kaito Ito, Kenji Kashima
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 15, Iss 2, Pp 119-129 (2022)
Kullback–Leibler (KL) control enables efficient numerical methods for nonlinear optimal control problems. The crucial assumption of KL control is the full controllability of transition distributions. However, this assumption is often violated when
Externí odkaz:
https://doaj.org/article/8e07d14ebb79453eb1b66b39b9c42eb7
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 14, Iss 1, Pp 67-77 (2021)
Extreme outliers of wind power fluctuation are a source of severe damage to power systems. In our previous work, we proposed a modelling framework, verified its usefulness via real data, and developed a model-based evaluation method of the impact of
Externí odkaz:
https://doaj.org/article/e8a383081cc04651a995b2501d0f6954
Autor:
Toshihisa Tamura, Tetsuo Hamada, Tatsuhiko Sako, Kosuke Makihara, Kozue Yamada, Kenji Kashima, Shigeo Yokoyama, Keiji Hirata, Yasutaka Hachiya, Tokihiko Fukuyama, Yutaka Hirano
Publikováno v:
Case Reports in Gastroenterology, Vol 4, Iss 3, Pp 361-368 (2010)
An 83-year-old Japanese man was admitted to our hospital for gastric adenocarcinoma mimicking a submucosal tumor in the gastric body. Considering his general condition, partial resection of the stomach and dissection of regional lymph nodes were perf
Externí odkaz:
https://doaj.org/article/a28850dde415490ab1475b770e4595ff
Autor:
Haruto Nishida, Tsutomu Daa, Kenji Kashima, Motoki Arakane, Hiromitsu Shimada, Mizuki Goto, Yoshitaka Kai, Yutaka Hatano, Osamu Okamoto, Shigeo Yokoyama
Publikováno v:
Dermatology Reports, Vol 5, Iss 1, Pp e3-e3 (2013)
A 73-year-old Japanese woman presented with cutaneous horn on the right cheek. The resected tumor was 9 mm in diameter, with 14 mm protrusion, and showed exophytic growth with marked papillomatosis. Histopathology showed proliferation of atypical mel
Externí odkaz:
https://doaj.org/article/7be7d7aadce74492856b7e2066ef700f
Autor:
Terukazu Ishii, Kentaro Kai, Masakazu Nishida, Kaei Nasu, Hisashi Narahara, Kenji Kashima, Noriyuki Takai, Naoko Kira
Publikováno v:
Rare Tumors, Vol 4, Iss 2, Pp e26-e26 (2012)
Meningeal metastasis is rare in the clinical course of ovarian carcinoma and its prognosis is extremely poor. We experienced a case of carcinomatous meningitis from metastatic ovarian small cell carcinoma. A 33-year-old woman with atypical genital bl
Externí odkaz:
https://doaj.org/article/46d8aab7b8fb4bd7b78fbd8a281af1b8
Autor:
Takeo Nomura, Ryuta Satoh, Kenji Kashima, Mutsushi Yamasaki, Kenichi Hirai, Fuminori Satoh, Hiromitsu Mimata
Publikováno v:
Clinical Medicine Insights: Case Reports, Vol 2 (2009)
Solitary fibrous tumor (SFT) is a rare spindle cell neoplasm mainly originated in the pleural cavity. We report here an unusual case of a large SFT in the retroperitoneum. A 27-year-old female complaining of a palpable mass in the right flank with du
Externí odkaz:
https://doaj.org/article/cf8ae2ebd6164fd7bd0e76e30c6ac5b3
Autor:
Takuya Ikeda, Kenji Kashima
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:1166-1177
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21a334cde0649a1d52a7f3ea6ccfc3aa
https://doi.org/10.1109/tcns.2022.3154666
https://doi.org/10.1109/tcns.2022.3154666
Supplementary Figures from CH7233163 Overcomes Osimertinib-Resistant EGFR-Del19/T790M/C797S Mutation
Autor:
Hiroshi Sakamoto, Takuya Torizawa, Takashi Chiba, Yukako Tachibana, Hiromi Tanimura, Hiroki Kawauchi, Kenji Kashima
Supplementary Figures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c290d31f7cec5ea49cd277310928065
https://doi.org/10.1158/1535-7163.22521345.v1
https://doi.org/10.1158/1535-7163.22521345.v1
Autor:
Hiroshi Sakamoto, Takuya Torizawa, Takashi Chiba, Yukako Tachibana, Hiromi Tanimura, Hiroki Kawauchi, Kenji Kashima
Supplementary Tables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44bea9835a8da73e3c0b1d1571554ff5
https://doi.org/10.1158/1535-7163.22521342
https://doi.org/10.1158/1535-7163.22521342
Publikováno v:
IEEE Control Systems Letters. 6:397-402
This paper aims to improve the reliability of optimal control using models constructed by machine learning methods. Optimal control problems based on such models are generally non-convex and difficult to solve online. In this paper, we propose a mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec436fa6bcb923b3e53b13517066fbfd
https://doi.org/10.1109/lcsys.2021.3077201
https://doi.org/10.1109/lcsys.2021.3077201