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 …

Big data and disaster management: a systematic review and agenda for future research

S Akter, SF Wamba - Annals of Operations Research, 2019 - Springer
The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

Twitter as a tool for the management and analysis of emergency situations: A systematic literature review

M Martínez-Rojas, M del Carmen Pardo-Ferreira… - International Journal of …, 2018 - Elsevier
The importance of timely, accurate and effective use of available information is essential to
the proper management of emergency situations. In recent years, emerging technologies …

Multi-pie

R Gross, I Matthews, J Cohn, T Kanade… - Image and vision …, 2010 - Elsevier
A close relationship exists between the advancement of face recognition algorithms and the
availability of face databases varying factors that affect facial appearance in a controlled …

Towards disaster resilient smart cities: Can internet of things and big data analytics be the game changers?

SA Shah, DZ Seker, MM Rathore, S Hameed… - IEEE …, 2019 - ieeexplore.ieee.org
Disasters (natural or man-made) can be lethal to human life, the environment, and
infrastructure. The recent advancements in the Internet of Things (IoT) and the evolution in …

The rising role of big data analytics and IoT in disaster management: recent advances, taxonomy and prospects

SA Shah, DZ Seker, S Hameed, D Draheim - IEEE Access, 2019 - ieeexplore.ieee.org
The recent development of big data analytics (BDA) and the Internet of Things (IoT)
technologies create a huge opportunity for both disaster management systems and disaster …

[HTML][HTML] A review on application of data mining techniques to combat natural disasters

S Goswami, S Chakraborty, S Ghosh… - Ain Shams Engineering …, 2018 - Elsevier
Thousands of human lives are lost every year around the globe, apart from significant
damage on property, animal life, etc., due to natural disasters (eg, earthquake, flood …

Data-driven techniques in disaster information management

T Li, N Xie, C Zeng, W Zhou, L Zheng, Y Jiang… - ACM Computing …, 2017 - dl.acm.org
Improving disaster management and recovery techniques is one of national priorities given
the huge toll caused by man-made and nature calamities. Data-driven disaster management …

Question answering method for infrastructure damage information retrieval from textual data using bidirectional encoder representations from transformers

Y Kim, S Bang, J Sohn, H Kim - Automation in construction, 2022 - Elsevier
Manual searching for infrastructure damage information from large amounts of textual data
requires considerable time and effort. A fast and accurate collection of damage information …

Enterprise risk management in supply chains

DL Olson, D Wu - Enterprise Risk Management Models: Focus on …, 2023 - Springer
This chapter introduces risk management by reviewing some major risk events faced by
businesses in the past. Unexpected consequences of human activity are discussed, with a …