Results 11 to 20 of about 2,631,204 (260)
Developing a flexible framework for spatiotemporal population modelling [PDF]
, 2015 This article proposes a general framework for modeling population distributions in space and time. This is particularly pertinent to a growing range of applications that require spatiotemporal specificity; for example, to inform planning of emergency ...
Martin, David +2 more
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Hand, foot and mouth disease: spatiotemporal transmission and climate [PDF]
, 2011 BACKGROUND: The Hand-Foot-Mouth Disease (HFMD) is the most common infectious disease in China, its total incidence being around 500,000~1,000,000 cases per year. The composite space-time disease variation is the result of underlining attribute mechanisms
Zhong-Jie Li +20 more
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Spatiotemporal modeling of community risk [PDF]
, 2016 Every day throughout the country, fire departments respond to a variety of emergencies in their communities. Steadily over the last decade, departments have mitigated these threats in an atmosphere of decreasing budgets, declining fire volume, and a ...
Tuggle, Todd T.
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Timescape: A Novel Spatiotemporal Modeling Tool
, 2022 We developed a novel approach in the field of spatiotemporal modeling, based on the spatialisation of time, the Timescape algorithm. It is especially aimed at sparsely distributed datasets in ecological research, whose spatial and temporal variability is
Marco Ciolfi +4 more
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Convolutional State Space Models for Long-Range Spatiotemporal Modeling [PDF]
, 2023 Effectively modeling long spatiotemporal sequences is challenging due to the need to model complex spatial correlations and long-range temporal dependencies simultaneously. ConvLSTMs attempt to address this by updating tensor-valued states with recurrent
Byeon, Wonmin +4 more
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ST-GTNet: A Spatio-Temporal Graph Attention Network for Dynamic Airport Capacity Prediction
AerospaceDynamic evaluation of airport terminal capacity is critical for efficient operations, yet it remains challenging due to the complex interplay of spatial and temporal factors. Existing approaches often handle spatial connectivity and temporal fluctuations
Pinzheng Qian +4 more
doaj +1 more source
SensorsBlood glucose monitoring is crucial for the daily management of diabetic patients. In this study, we developed a differential absorbance and photoplethysmography (PPG)-based non-invasive blood glucose measurement system (NIBGMS) using visible–near ...
Jinxiu Cheng +3 more
doaj +1 more source
Generation of Spatiotemporally Resolved Power Production Data of PV Systems in Germany
ISPRS International Journal of Geo-Information, 2020 Photovoltaics, as one of the most important renewable energies in Germany, have increased significantly in recent years and cover up to 50% of the German power provision on sunny days.
Reinhold Lehneis +2 more
doaj +1 more source
Ecosphere, 2021 The disease white‐nose syndrome (WNS) was first recognized in upstate New York in 2006 and has since spread across much of the United States (U.S.), causing severe mortality in several North American bat species.
John F. Grider +3 more
doaj +1 more source
Spatiotemporal Traffic Prediction Using Hierarchical Bayesian Modeling
, 2021 Hierarchical Bayesian models (HBM) are powerful tools that can be used for spatiotemporal analysis. The hierarchy feature associated with Bayesian modeling enhances the accuracy and precision of spatiotemporal predictions.
Khalid Elgazzar +2 more
core +1 more source