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Strategic Deployment of AI and Drones Enhancing Disaster Management in Natural Disasters
R Singh, G Manoharan, S Singh - AI and IoT for Proactive Disaster …, 2024 - igi-global.com
The emergence of artificial intelligence (AI) and unmanned aerial vehicles (UAVs),
commonly known as drones, has revolutionized disaster management practices, particularly …
commonly known as drones, has revolutionized disaster management practices, particularly …
[HTML][HTML] A framework for the optimal deployment of police drones based on street-level crime risk
Drones are increasingly adopted for policing in many countries, as they can aid police
officers to detect hazards and respond to incidents with timely and low-cost services …
officers to detect hazards and respond to incidents with timely and low-cost services …
Maritime Emission Monitoring: Development and Testing of a UAV-Based Real-Time Wind Sensing Mission Planner Module
T Karachalios, P Moschos, T Orphanoudakis - Sensors, 2024 - mdpi.com
Maritime emissions contribute significantly to global pollution, necessitating accurate and
efficient monitoring methods. Traditional methods for tracking ship emissions often face …
efficient monitoring methods. Traditional methods for tracking ship emissions often face …
[HTML][HTML] Review of Drone-Based Technologies for Wind Turbine Blade Inspection
SJ Heo, WS Na - Electronics, 2025 - mdpi.com
Wind energy is one of the most rapidly growing sectors in renewable energy generation,
with wind turbines being central to this expansion. Regular maintenance, particularly the …
with wind turbines being central to this expansion. Regular maintenance, particularly the …
Method in Selecting Vehicles for Interventions and Surveillance of Navigation Safety at Sea
L Vukić, J Vidov, I Karin - Journal of marine science and engineering, 2024 - mdpi.com
Selecting a vehicle to monitor navigational safety is an important goal, especially in search
and rescue operations. It depends on the criteria set and the type of equipment in use. The …
and rescue operations. It depends on the criteria set and the type of equipment in use. The …
A real-time vision guidance method for autonomous longan picking by the UAV
H Chen, K Wu, H Lin, H Zhou, Z Zhou, Y Mai… - … and Electronics in …, 2025 - Elsevier
The unmanned aerial vehicle (UAV) with high flexibility has great application prospect in
autonomous longan picking. However, the robustness of the UAV preplanned flight mode is …
autonomous longan picking. However, the robustness of the UAV preplanned flight mode is …
Path planning for unmanned surface vehicles in anchorage areas based on the risk-aware path optimization algorithm
H Wang, S Mao, X Mou, J Zhang, R Li - Frontiers in Marine Science, 2025 - frontiersin.org
In dense anchorage areas, the challenge of navigation for Unmanned Surface Vehicles
(USVs) is particularly pronounced, especially regarding path safety and economy. A Risk …
(USVs) is particularly pronounced, especially regarding path safety and economy. A Risk …
Strategic enhancement infrastructure connectivity: a fuzzy exploratory factors analysis in Thailand's regional ports within the RCEP framework
N Netirith, M Ji - Maritime Business Review, 2024 - emerald.com
Purpose Advancements in enhancing regional port connectivity are crucial to fostering
global maritime transport. The objective of this paper is to explore the complex relationship …
global maritime transport. The objective of this paper is to explore the complex relationship …
Map** the complexity of legal challenges for trustworthy drones on construction sites in the United Kingdom
Drones, unmanned aircraft controlled remotely and equipped with cameras, have seen
widespread deployment across military, industrial, and commercial domains. The …
widespread deployment across military, industrial, and commercial domains. The …
[PDF][PDF] Drone-Assisted Multimodal Logistics: Trends and Research Issues.
This study explores the evolving trends and research issues in the field of drone-assisted
multimodal logistics over the past two decades. By employing various text-mining …
multimodal logistics over the past two decades. By employing various text-mining …