In this paper, we investigate a data propagation scheme wherein connected cars are deployed to provide shelters with ad hoc network connectivity.
An important objective of this work is to devise a strategy for online path planning. Although shortest-path query times may easily be reduced by a priori ...
Data-based Graphical Modeling with Applications in Data ... - CoLab
colab.ws › ascc56756.2022.9828050
Data-based Graphical Modeling with Applications in Data Propagation for Disaster Response ; Elsevier. When Evolutionary Computing Meets Astro- and Geoinformatics.
Apr 15, 2021 · This research proposes a novel model that utilizes the capabilities of Bayesian Networks (BNs) and Building Information Modeling (BIM).
Dec 3, 2024 · Efficient public transportation is crucial for reducing traffic congestion, cut- ting carbon emissions, and ensuring fair access to jobs and ...
The selection of the essential real data can be accomplished through big data analysis and simulation employing AI judgement based on the available empirical ...
Data-based Graphical Modeling with Applications in Data Propagation for Disaster Response. DOI · Kota Sakazaki · Tielong Shen. 収録刊行物.
The aim of this paper is to present a broad perspective on applications dealing with 3D building models and indoor navigation during an emergency.
... Data-driven model for stability condition. 2296 prediction of soil embankments based on visual data features. Journal of Computing in. 2297. Civil Engineering ...
May 9, 2024 · This research proposes a data-driven model based on sustainability, taking into account the pre and post-crisis simultaneously.
Missing: Graphical Applications Propagation