Presentation 2024-03-15
Long-Term Fine-grained Forecasts of Emergency Demand Using EMS Big Data and Regional Mesh Population Estimates
Kaneda Masaki, Chen Sinan, Nakamura Masahide, SaikiSachio,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # KBSE2023-81
Date of Issue 2024-03-07 (KBSE)

Conference Information
Committee KBSE
Conference Date 2024/3/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Prefectual General Welfare Center
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Takuya Saruwatari(NTT Data)
Vice Chair Yoshinori Tanabe(Tsurumi Univ.)
Secretary Yoshinori Tanabe(BIPROGY)
Assistant Takafumi Tanaka(Tamagawa Univ.) / Takashi Kitamura(AIST)

Paper Information
Registration To Technical Committee on Knowledge-Based Software Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Long-Term Fine-grained Forecasts of Emergency Demand Using EMS Big Data and Regional Mesh Population Estimates
Sub Title (in English)
Keyword(1)
1st Author's Name Kaneda Masaki
1st Author's Affiliation Kobe University(Kobe Univ.)
2nd Author's Name Chen Sinan
2nd Author's Affiliation Kobe University(Kobe Univ.)
3rd Author's Name Nakamura Masahide
3rd Author's Affiliation Kobe University(Kobe Univ.)
4th Author's Name SaikiSachio
4th Author's Affiliation Kochi University of Technology(Kochi Univ. of Tech.)
Date 2024-03-15
Paper # KBSE2023-81
Volume (vol) vol.123
Number (no) KBSE-443
Page pp.pp.84-89(KBSE),
#Pages 6
Date of Issue 2024-03-07 (KBSE)