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A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation

In the realm of Emergency Medical Services (EMS), the integration of Machine Learning (ML) techniques has emerged as a catalyst for revolutionizing ambulance operations. ML algorithms could play a pivotal role in dynamically allocating resources, devising efficient routes, and predicting demand patt...

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Xehetasun bibliografikoak
Egile Nagusiak: Reem Tluli, Ahmed Badawy, Saeed Salem, Mahmoud Barhamgi, Amr Mohamed
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: IEEE 2024-01-01
Saila:IEEE Open Journal of Intelligent Transportation Systems
Gaiak:
Sarrera elektronikoa:https://ieeexplore.ieee.org/document/10787208/
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