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 …
[HTML][HTML] Flying free: A research overview of deep learning in drone navigation autonomy
Drones | Free Full-Text | Flying Free: A Research Overview of Deep Learning in Drone
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
A survey on UAV computing platforms: A hardware reliability perspective
F Ahmed, M Jenihhin - Sensors, 2022 - mdpi.com
This study describes the Computing Platforms (CPs) and the hardware reliability issues of
Unmanned Aerial Vehicles (UAVs), or drones, which recently attracted significant attention …
Unmanned Aerial Vehicles (UAVs), or drones, which recently attracted significant attention …
Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane
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 …
management activities. The public is engaged with AI in various ways in these activities. For …
The development of new remote technologies in disaster medicine education: a scoping review
CL Kao, LC Chien, MC Wang, JS Tang… - Frontiers in public …, 2023 - frontiersin.org
Background Remote teaching and online learning have significantly changed the
responsiveness and accessibility after the COVID-19 pandemic. Disaster medicine (DM) has …
responsiveness and accessibility after the COVID-19 pandemic. Disaster medicine (DM) has …
Training a disaster victim detection network for UAV search and rescue using harmonious composite images
Human detection in images using deep learning has been a popular research topic in recent
years and has achieved remarkable performance. Training a human detection network is …
years and has achieved remarkable performance. Training a human detection network is …
Natural disasters intensity analysis and classification based on multispectral images using multi-layered deep convolutional neural network
Natural disasters not only disturb the human ecological system but also destroy the
properties and critical infrastructures of human societies and even lead to permanent …
properties and critical infrastructures of human societies and even lead to permanent …
An Optimized Multi-Task Learning Model for Disaster Classification and Victim Detection in Federated Learning Environments
Disaster classification and victim detection are two important tasks in enabling efficient
rescue operations. In this paper, we propose a multi-task learning (MTL) model which …
rescue operations. In this paper, we propose a multi-task learning (MTL) model which …
Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor …
Recent technological advancements, encompassing cutting-edge sensors, drones, and AI
systems, present novel prospects for enhancing survivor detection in disaster scenarios …
systems, present novel prospects for enhancing survivor detection in disaster scenarios …
A study for detecting disaster victims using multi-copter drone with a thermographic camera and image object recognition by SSD
W Hoshino, J Seo, Y Yamazaki - 2021 IEEE/ASME …, 2021 - ieeexplore.ieee.org
It is dangerous for people to approach a building damaged by an earthquake when there is
a risk of it collapsing, and the likelihood of survival of victims of building collapse decreases …
a risk of it collapsing, and the likelihood of survival of victims of building collapse decreases …