Remote sensing methods for flood prediction: A review

HS Munawar, AWA Hammad, ST Waller - Sensors, 2022 - mdpi.com
Floods are a major cause of loss of lives, destruction of infrastructure, and massive damage
to a country's economy. Floods, being natural disasters, cannot be prevented completely; …

Machine learning for risk and resilience assessment in structural engineering: Progress and future trends

X Wang, RK Mazumder, B Salarieh… - Journal of Structural …, 2022 - ascelibrary.org
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …

Deploying artificial intelligence for climate change adaptation

W Leal Filho, T Wall, SAR Mucova, GJ Nagy… - … Forecasting and Social …, 2022 - Elsevier
Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …

Resilience building in service firms during and post COVID-19

A Huang, M Farboudi Jahromi - The Service Industries Journal, 2021 - Taylor & Francis
The COVID-19 pandemic has affected millions of service firms worldwide; therefore, they
must be resilient during these uncertain economic times. This paper develops a new …

[HTML][HTML] The influencing factors and mechanisms for urban flood resilience in China: From the perspective of social-economic-natural complex ecosystem

S Zhu, D Li, H Feng, N Zhang - Ecological Indicators, 2023 - Elsevier
Urban flood is one of the most frequent and deadly natural disasters in the world, seriously
affecting urban sustainability and people's well-being in China. As the largest developing …

Toward an integrated disaster management approach: how artificial intelligence can boost disaster management

SK Abid, N Sulaiman, SW Chan, U Nazir, M Abid… - Sustainability, 2021 - mdpi.com
Technical and methodological enhancement of hazards and disaster research is identified
as a critical question in disaster management. Artificial intelligence (AI) applications, such as …

Utilization of artificial intelligence in disease prevention: Diagnosis, treatment, and implications for the healthcare workforce

SUD Wani, NA Khan, G Thakur, SP Gautam, M Ali… - Healthcare, 2022 - mdpi.com
Artificial intelligence (AI) has been described as one of the extremely effective and promising
scientific tools available to mankind. AI and its associated innovations are becoming more …

An integrated approach for post-disaster flood management via the use of cutting-edge technologies and UAVs: A review

HS Munawar, AWA Hammad, ST Waller, MJ Thaheem… - Sustainability, 2021 - mdpi.com
Rapid advances that improve flood management have facilitated the disaster response by
providing first aid services, finding safe routes, maintaining communication and developing …

Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane

N Kankanamge, T Yigitcanlar, A Goonetilleke - Telematics and Informatics, 2021 - Elsevier
In recent years, artificial intelligence (AI) is being increasingly utilised in disaster
management activities. The public is engaged with AI in various ways in these activities. For …

Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review

L Dwarakanath, A Kamsin, RA Rasheed… - Ieee …, 2021 - ieeexplore.ieee.org
Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …