Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
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 …
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
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 …
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
Social media platforms are playing increasingly critical roles in disaster response and
rescue operations. During emergencies, users can post rescue requests along with their …
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
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 …
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
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 …
aspects of emergencies. The field has attracted researchers because of its ever-increasing …
Heartbeat sound signal classification using deep learning
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 …
sound analysis is a convenient way to diagnose heart disease. Heartbeat sound …
Spatiotemporal event detection: A review
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …
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
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 …
disasters to share real‐time information and to report incidents. Within these messages …
Applications of machine learning to wind engineering
Advances of the analytical, numerical, experimental and field-measurement approaches in
wind engineering offers unprecedented volume of data that, together with rapidly evolving …
wind engineering offers unprecedented volume of data that, together with rapidly evolving …