Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kim, Hwayeon"'
Autor:
Go, Dongyoung, Whang, Taesun, Lee, Chanhee, Kim, Hwayeon, Park, Sunghoon, Ji, Seunghwan, Kim, Dongchan, Kim, Young-Bum
The integration of Retrieval-Augmented Generation (RAG) with Multimodal Large Language Models (MLLMs) has expanded the scope of multimodal query resolution. However, current systems struggle with intent understanding, information retrieval, and safet
Externí odkaz:
http://arxiv.org/abs/2411.12287
Autor:
Kim, Hwayeon
甲第24212号
工博第5040号
新制||工||1787(附属図書館)
学位規則第4条第1項該当
Doctor of Philosophy (Engineering)
Kyoto University
DFAM
工博第5040号
新制||工||1787(附属図書館)
学位規則第4条第1項該当
Doctor of Philosophy (Engineering)
Kyoto University
DFAM
Externí odkaz:
http://hdl.handle.net/2433/277355
Publikováno v:
京都大学防災研究所年報. B. 65:146-156
Localized severe heavy rainfalls have frequently occurred in Japan. For reducing the damages by disasters, it is necessary to predict the risk of GHR. Kim and Nakakita (2021) developed the quantitative risk prediction method by considering the relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::f4828d4020b56590fed24359331c1762
http://hdl.handle.net/2433/279424
http://hdl.handle.net/2433/279424
Autor:
KIM, Hwayeon, NAKAKITA, Eiichi
Publikováno v:
京都大学防災研究所年報. B. 65:254-260
To alert flash flood warnings on the watersheds of the Toga River basin in Japan, flash flood guidance (FFG) was considered to determine the criteria for whether flash floods occur. FFG is the amount of precipitation needed in a specific period of ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::8567e2043b674d129b4b196b20ee4a8b
http://hdl.handle.net/2433/279433
http://hdl.handle.net/2433/279433
Autor:
KIM, Hwayeon, NAKAKITA, Eiichi
Publikováno v:
京都大学防災研究所年報. B. 64:217-226
Japan has suffered from devastating flood disasters caused by localized heavy rainfall known as Guerrilla heavy rainfall recently. For reducing the damage, it is necessary to predict the risk of GHR precisely. So, we aim to propose an accurate quanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::f8ff5acc0b4cf4484cb1cf04d8ff573b
http://hdl.handle.net/2433/268157
http://hdl.handle.net/2433/268157
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