Presentation 2022-11-17
Propagation loss prediction method by machine learning for indoor environments
Takayuki Nakanishi, Kenya Shimizu, Kenzaburo Hitomi, Yasuhiro Nishioka, Yoshio Inasawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # EMT2022-54
Date of Issue 2022-11-10 (EMT)

Conference Information
Committee EMT / IEE-EMT
Conference Date 2022/11/17(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Kikai-Shinko-Kaikan Bldg.
Topics (in Japanese) (See Japanese page)
Topics (in English) Electromagnetic Theory, etc.
Chair Hiroyuki Deguchi(Doshisha Univ.) / Shinichi Furukawa(Nihon Univ.)
Vice Chair Hideki Kawaguchi(Muroran Inst. of Tech)
Secretary Hideki Kawaguchi(Mitsubishi Electric) / (Kyushu Sangyo Univ.)
Assistant Ryo Natsuaki(Univ. of Tokyo) / Kazuki Niino(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Electromagnetic Theory / Technical Meeting on Electromagnetic Theory
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Propagation loss prediction method by machine learning for indoor environments
Sub Title (in English)
Keyword(1)
1st Author's Name Takayuki Nakanishi
1st Author's Affiliation Mitsubishi Electric Corporation(MELCO)
2nd Author's Name Kenya Shimizu
2nd Author's Affiliation Mitsubishi Electric Corporation(MELCO)
3rd Author's Name Kenzaburo Hitomi
3rd Author's Affiliation Mitsubishi Electric Engineering Company Limited(MELCO)
4th Author's Name Yasuhiro Nishioka
4th Author's Affiliation Mitsubishi Electric Corporation(MELCO)
5th Author's Name Yoshio Inasawa
5th Author's Affiliation Mitsubishi Electric Corporation(MELCO)
Date 2022-11-17
Paper # EMT2022-54
Volume (vol) vol.122
Number (no) EMT-256
Page pp.pp.59-64(EMT),
#Pages 6
Date of Issue 2022-11-10 (EMT)