A new clustering algorithm for spatio-temporal data is developed. The proposed method
leverages a weighted combination of a spatial haversine distance matrix and a spectral …

Spatio-temporal areal data can be seen as a collection of time series which are spatially
correlated according to a specific neighboring structure. Incorporating the temporal and …

This paper proposes an integrated approach to jointly tackle districting and resource
allocation decisions, two interrelated problems that, in most cases, are handled separately …

One of the greatest challenges of Emergency medical services providers is to handle the
large number of Emergency Medical Service (EMS) calls coming from the population. An …

Efficient planning and management of health transport services are crucial for improving
accessibility and enhancing the quality of healthcare. This study focuses on the choice of …

Background: Emergency medical services have a pivotal role in giving timely and
appropriate responses to emergency events caused by medical, natural, or human-caused …

Abstract Accepted by: Konstantinos Nikolopoulos One of the challenges of emergency
ambulance demand (EAD) time series prediction lies in their non-stationary nature. We …

Background: Emergency medical services have a pivotal role in giving timely and
appropriate responses to emergency events caused by medical, natural, or human-caused …

The Intra-Voxel Incoherent Motion (IVIM) model allows to estimate water diffusion and
perfusion-related coefficients in biological tissues using diffusion weighted MR images …

The study focuses on the identification of significant temporal and weather-related features
that impact the daily demand for Emergency Medical Services (EMS). The study aims to …