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 …

[HTML][HTML] A review of the use of artificial intelligence methods in infrastructure systems

L McMillan, L Varga - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …

Artificial Intelligence based Models to Support Water Quality Prediction using Machine Learning Approach

P William, OJ Oyebode, G Ramu… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
The purpose of this study is to simulate the propagation of bio-contamination risk in Water
Distribution System (WDS). This will be accomplished by putting an emphasis on source …

Remote sensing of river corridors: A review of current trends and future directions

C Tomsett, J Leyland - River Research and Applications, 2019 - Wiley Online Library
River corridors play a crucial environmental, economic, and societal role yet also represent
one of the world's most dangerous natural hazards, making monitoring imperative to …

Edge technologies for disaster management: A survey of social media and artificial intelligence integration

M Aboualola, K Abualsaud, T Khattab, N Zorba… - IEEE …, 2023 - ieeexplore.ieee.org
Within the paradigm of smart cities, smart devices can be considered as a tool to enhance
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …

Water level prediction model applying a long short-term memory (lstm)–gated recurrent unit (gru) method for flood prediction

M Cho, C Kim, K Jung, H Jung - Water, 2022 - mdpi.com
The damage caused by floods is increasing worldwide, and if floods can be predicted, the
economic and human losses from floods can be reduced. A key parameter of flooding is …

Computer vision and IoT-based sensors in flood monitoring and mapping: A systematic review

B Arshad, R Ogie, J Barthelemy, B Pradhan… - Sensors, 2019 - mdpi.com
Floods are amongst the most common and devastating of all natural hazards. The alarming
number of flood-related deaths and financial losses suffered annually across the world call …

Potential advantages in combining smart and green infrastructure over silo approaches for future cities

Y Kaluarachchi - Frontiers of Engineering Management, 2021 - Springer
Cities are incorporating smart and green infrastructure components in their urban design
policies, adapting existing and new infrastructure systems to integrate technological …

[HTML][HTML] Locating and deploying essential goods and equipment in disasters using AI-enabled approaches: A systematic literature review

S Farazmehr, Y Wu - Progress in Disaster Science, 2023 - Elsevier
Locating, routing and deploying essential goods and equipment are proactive disaster
management strategies which received attention during recent decades. Many artificial …

A general overview of the risk-reduction strategies for floods and droughts

TH Yang, WC Liu - Sustainability, 2020 - mdpi.com
Water is a limited resource but essential to sustaining life and supporting economic
development. Only 2.5% of all the water on Earth is freshwater and can be used to meet …