S Wang, RKL Ko, G Bai, N Dong… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Cyber-physical systems (CPS) are increasingly relying on machine learning (ML) techniques to reduce labor costs and improve efficiency. However, the adoption of ML also …
Social media sensing has emerged as a new disaster response application paradigm to collect real-time observations from online social media users about the disaster status. Due …
P Kumar, RK Singh - Annals of Operations Research, 2022 - Springer
The coordination in post-disaster functions is a major challenge for the humanitarian supply chains. Due to uncertainty and temporary nature of the disasters, it becomes very difficult to …
F Zhang, Q Qiao, J Wang, P Liu - Journal of loss prevention in the process …, 2022 - Elsevier
Whether it is through crisis mapping or event simulation, Artificial Intelligence (AI) is a pioneering new method of emergency planning. It uses the analysis of information or data …
A Kamilaris, N Botteghi - Journal of ambient intelligence and …, 2020 - content.iospress.com
Abstract As the Internet of Things (IoT) penetrates different domains and application areas, it has recently entered also the world of robotics. Robotics constitutes a modern and fast …
Y Wang, H Chen, X Gu - Journal of Cleaner Production, 2024 - Elsevier
The rapidly increase in smart technology and integration into emergency management is unavoidable. How to scientifically use smart technologies such as artificial intelligence …
KE Benson, G Bouloukakis, C Grant, V Issarny… - Proceedings of the 19th …, 2018 - dl.acm.org
Real-time event detection and targeted decision making for emerging mission-critical applications, eg smart fire fighting, requires systems that extract and process relevant data …
AA Jahromi, D Kundur - Cyber-Physical Systems in the Built Environment, 2020 - Springer
Cyber-physical systems are permeating practical application to become an integral part of manufacturing, healthcare, agriculture, transportation, energy systems, financial systems …