[HTML][HTML] Machine learning in disaster management: recent developments in methods and applications

V Linardos, M Drakaki, P Tzionas… - Machine Learning and …, 2022 - mdpi.com
Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …

Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

OCHSA: designing energy‐efficient lifetime‐aware leisure degree adaptive routing protocol with optimal cluster head selection for 5G communication network disaster …

S Raja, J Logeshwaran… - Scientific …, 2022 - Wiley Online Library
As an underlayment to cellular 5G communication network, device‐to‐device (D2D)
communications will not only boost capacity utilization and power efficiency but also provide …

Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management

C Fan, C Zhang, A Yahja, A Mostafavi - International journal of information …, 2021 - Elsevier
This paper presents a vision for a Disaster City Digital Twin paradigm that can:(i) enable
interdisciplinary convergence in the field of crisis informatics and information and …

[HTML][HTML] How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions

AY Sun, BR Scanlon - Environmental Research Letters, 2019 - iopscience.iop.org
Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …

The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events

S Bag, MS Rahman, G Srivastava, HL Chan… - International Journal of …, 2022 - Elsevier
Most parts of the world have suffered the negative impacts from extreme weather events, in
whatever form they may take. To mitigate such impacts, attention in the operations …

[HTML][HTML] Theoretical perspectives on sustainable supply chain management and digital transformation: A literature review and a conceptual framework

A Stroumpoulis, E Kopanaki - Sustainability, 2022 - mdpi.com
In an era where environmental and social pressures on companies are increasing,
sustainable supply chain management is essential for the efficient operation and …

Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques

A Khan, S Gupta, SK Gupta - International journal of disaster risk reduction, 2020 - Elsevier
Every year man-made and natural disasters impact the lives of millions of people. The
frequency of occurrence of such disasters is steadily increasing since the last 50 years, and …

Disaster resilience through big data: Way to environmental sustainability

MNI Sarker, Y Peng, C Yiran, RC Shouse - International Journal of Disaster …, 2020 - Elsevier
Disaster management is a growing concern and priority throughout the world and
“resilience” is increasingly viewed as a key capacity related to disaster and post-disaster …

[HTML][HTML] Empirical evidence of declining global vulnerability to climate-related hazards

G Formetta, L Feyen - Global Environmental Change, 2019 - Elsevier
Death tolls and economic losses from natural hazards continue to rise in many parts of the
world. With the aim to reduce future impacts from natural disasters it is crucial to understand …