A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …
catastrophic losses. These losses have underscored the urgent need to improve public …
AI-Based Drone Assisted Human Rescue in Disaster Environments: Challenges and Opportunities
In this survey we are focusing on utilizing drone-based systems for the detection of
individuals, particularly by identifying human screams and other distress signals. This study …
individuals, particularly by identifying human screams and other distress signals. This study …
Active Learning for Single-Stage Object Detection in UAV Images
Unmanned aerial vehicles (UAVs) are widely used for image acquisition in various
applications, and object detection is a crucial task for UAV imagery analysis. However …
applications, and object detection is a crucial task for UAV imagery analysis. However …
An attention-based dual-encoding network for fire flame detection using optical remote sensing
S Kong, J Deng, L Yang, Y Liu - Engineering Applications of Artificial …, 2024 - Elsevier
Automatic extraction of flame area plays an important role in forest fire detection, which can
accurately understand the spatial distribution and development trend of forest fire, so as to …
accurately understand the spatial distribution and development trend of forest fire, so as to …
Drone-based Bug Detection in Orchards with Nets: A Novel Orienteering Approach
The use of drones for collecting information and detecting bugs in orchards covered by nets
is a challenging problem. The nets help in reducing pest damage, but they also constrain the …
is a challenging problem. The nets help in reducing pest damage, but they also constrain the …
[HTML][HTML] Management of a post-disaster emergency scenario through unmanned aerial vehicles: Multi-Depot Multi-Trip Vehicle Routing with Total Completion Time …
One of the most valuable and promising applications for Unmanned aerial vehicles (UAVs)
is in natural disaster management, where these aircraft can operate autonomously without …
is in natural disaster management, where these aircraft can operate autonomously without …
Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems
X Yu, P Xu, F Wang, X Wang - Engineering Applications of Artificial …, 2024 - Elsevier
Many real-world problems can be established as Constrained Multi-objective Optimization
Problems (CMOPs). It is still challenging to automatically set efficient parameters for …
Problems (CMOPs). It is still challenging to automatically set efficient parameters for …
[HTML][HTML] Trajectory-Aware Offloading Decision in UAV-Aided Edge Computing: A Comprehensive Survey
Recently, the integration of unmanned aerial vehicles (UAVs) with edge computing has
emerged as a promising paradigm for providing computational support for Internet of Things …
emerged as a promising paradigm for providing computational support for Internet of Things …
Interference-Aware Multi-Hop Routing in UAV Networks: A Harmonic Function-Based Potential Field Approach
Multi-hop packet routing is critical for unmanned aerial vehicle (UAV) networks to enable
efficient communication between terminals in diverse environments. However, the …
efficient communication between terminals in diverse environments. However, the …
Multi-Objective MDP-based Routing In UAV Networks For Search-based Operations
P Mahajan, P Balamurugan, A Kumar… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) systems have gained widespread recognition due to their
versatility and autonomy. Their deployment for disaster mitigation and management …
versatility and autonomy. Their deployment for disaster mitigation and management …