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Title:

Ambulance demand prediction via convolutional neural networks

Document type:
Zeitschriftenaufsatz
Author(s):
Rautenstrauss, M.; Schiffer, M.
Non-TUM Co-author(s):
nein
Cooperation:
national
Intellectual Contribution:
Discipline-based Research
Journal title:
Operations Research, Data Analytics and Logistics
Journal listet in FT50 ranking:
nein
Year:
2025
Journal volume:
46
Pages contribution:
200497
Fulltext / DOI:
doi:10.1016/j.ordal.2025.200497
Publisher:
Elsevier BV
E-ISSN:
3050-7847
Date of publication:
01.06.2026
Judgement review:
None
Key publication:
Ja
Peer reviewed:
Ja
Commissioned:
commissioned by company
Technology:
Ja
Interdisciplinarity:
Ja
Mission statement:
;
Ethics and Sustainability:
Ja
SDG:
;
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