[HTML][HTML] Applications of drone in disaster management: A sco** review

SMSM Daud, MYPM Yusof, CC Heo, LS Khoo… - Science & Justice, 2022 - Elsevier
The use of drones has rapidly evolved over the past decade involving a variety of fields
ranging from agriculture, commercial and becoming increasingly used in disaster …

Disruptive technologies as a solution for disaster risk management: A review

HS Munawar, M Mojtahedi, AWA Hammad… - Science of the total …, 2022 - Elsevier
Integrating disruptive technologies within smart cities improves the infrastructure needed to
potentially deal with disasters. This paper provides a perspective review of disruptive …

AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

Colosseum: Large-scale wireless experimentation through hardware-in-the-loop network emulation

L Bonati, P Johari, M Polese, S D'Oro… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Colosseum is an open-access and publicly-available large-scale wireless testbed for
experimental research via virtualized and softwarized waveforms and protocol stacks on a …

UAVs in disaster management: Application of integrated aerial imagery and convolutional neural network for flood detection

HS Munawar, F Ullah, S Qayyum, SI Khan, M Mojtahedi - Sustainability, 2021 - mdpi.com
Floods have been a major cause of destruction, instigating fatalities and massive damage to
the infrastructure and overall economy of the affected country. Flood-related devastation …

UAVs path planning architecture for effective medical emergency response in future networks

SI Khan, Z Qadir, HS Munawar, SR Nayak… - Physical …, 2021 - Elsevier
With the advancements of the Unmanned Aerial Vehicles (UAV) technology for use in
different environments, it can be easily substituted for traditional transportation in event of …

Ensuring threshold AoI for UAV-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer

H Wang, CH Liu, H Yang, G Wang… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) crowdsensing (UCS) is an emerging data collection
paradigm to provide reliable and high quality urban sensing services, with age-of …

Optimal scheduling and quantitative analysis for multi-flying warehouse scheduling problem: Amazon airborne fulfillment center

HY Jeong, BD Song, S Lee - Transportation Research Part C: Emerging …, 2022 - Elsevier
The outstanding advantages of unmanned aerial vehicles (UAVs) have led to an intensive
study of the UAV system over the past decade. A variety of potential UAV applications are …

Optimal decision-making of post-disaster emergency material scheduling based on helicopter–truck–drone collaboration

Y Shi, J Yang, Q Han, H Song, H Guo - Omega, 2024 - Elsevier
In the last decades, natural disasters, such as earthquakes and landslides, have occurred
frequently, seriously threatening the safety of people's lives and property. How emergency …

A discrete teaching–learning based optimization algorithm with local search for rescue task allocation and scheduling

Y Xu, X Li, Q Li - Applied Soft Computing, 2023 - Elsevier
The allocation and scheduling of the emergency rescue forces is a fundamental task in
emergency management. This paper aims to address the allocation and scheduling problem …