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 …

A review of earth artificial intelligence

Z Sun, L Sandoval, R Crystal-Ornelas… - Computers & …, 2022 - Elsevier
In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages

Y Hu, G Mai, C Cundy, K Choi, N Lao… - International Journal …, 2023 - Taylor & Francis
Social media messages posted by people during natural disasters often contain important
location descriptions, such as the locations of victims. Recent research has shown that many …

VictimFinder: Harvesting rescue requests in disaster response from social media with BERT

B Zhou, L Zou, A Mostafavi, B Lin, M Yang… - … Environment and Urban …, 2022 - Elsevier
Social media platforms are playing increasingly critical roles in disaster response and
rescue operations. During emergencies, users can post rescue requests along with their …

A deep multi-modal neural network for informative Twitter content classification during emergencies

A Kumar, JP Singh, YK Dwivedi, NP Rana - Annals of Operations …, 2022 - Springer
People start posting tweets containing texts, images, and videos as soon as a disaster hits
an area. The analysis of these disaster-related tweet texts, images, and videos can help …

Artificial neural network approaches for disaster management: A literature review

S Guha, RK Jana, MK Sanyal - International Journal of Disaster Risk …, 2022 - Elsevier
Disaster management (DM) is one of the leading fields that deal with the humanitarian
aspects of emergencies. The field has attracted researchers because of its ever-increasing …

Heartbeat sound signal classification using deep learning

A Raza, A Mehmood, S Ullah, M Ahmad, GS Choi… - Sensors, 2019 - mdpi.com
Presently, most deaths are caused by heart disease. To overcome this situation, heartbeat
sound analysis is a convenient way to diagnose heart disease. Heartbeat sound …

Spatiotemporal event detection: A review

M Yu, M Bambacus, G Cervone, K Clarke… - … Journal of Digital …, 2020 - Taylor & Francis
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …

NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages

J Wang, Y Hu, K Joseph - Transactions in GIS, 2020 - Wiley Online Library
Social media messages, such as tweets, are frequently used by people during natural
disasters to share real‐time information and to report incidents. Within these messages …

Applications of machine learning to wind engineering

T Wu, R Snaiki - Frontiers in Built Environment, 2022 - frontiersin.org
Advances of the analytical, numerical, experimental and field-measurement approaches in
wind engineering offers unprecedented volume of data that, together with rapidly evolving …