Toward Smart Skies: Reviewing the State of the Art and Challenges for Intelligent Air Transportation Systems (IATS)

S Wandelt, C Zheng - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Given an extensive set of challenges, the aviation industry is required to undergo a
transformation into a connected, efficient and sustainable ecosystem. This transformation is …

Exploring the sensing power of mixed vehicle fleets

K Han, W Ji, YM Nie, Z Li, S Liu - Transportation Research Part B …, 2024 - Elsevier
Vehicle-based mobile sensing, also known as drive-by sensing, efficiently surveys urban
environments at low costs by leveraging the mobility of urban vehicles. While recent studies …

[HTML][HTML] Optimization of Urban Target Area Accessibility for Multi-UAV Data Gathering Based on Deep Reinforcement Learning

Z Jin, R Chen, K Wu, T Yu, L Fu - Drones, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) are increasingly deployed to enhance the operational
efficiency of city services. However, finding optimal solutions for the gather–return task …

Hybrid Heuristic-Based Multi-UAV Route Planning for Time-Dependent Data Collection

P Wan, S Wang, G Xu, Y Long… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) has been increasingly adopted for IoT data collection in
large-scale scenarios that are with less or even no network coverage. Efficient UAV route …

Cooperative Learning-Based Joint UAV and Human Courier Scheduling for Emergency Medical Delivery Service

J Chen, P Wan, G Xu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Emergency medical delivery plays a crucial role in ensuring timely treatment for patients
under the promising trend of medical resource sharing. However, traditional human courier …

Energy-Constrained Safe Path Planning for UAV-Assisted Data Collection of Mobile IoT Devices

J Fan, X Chang, J Mišić, VB Mišić… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are being broadly employed to assist in efficient data
collection for IoT networks. Studies have been conducted to ensure the effectiveness and …

Deep learning based insulator fault detection algorithm for power transmission lines

H Wang, Q Yang, B Zhang, D Gao - Journal of Real-Time Image …, 2024 - Springer
Aiming at the complex background of transmission lines at the present stage, which leads to
the problem of low accuracy of insulator fault detection for small targets, a deep learning …

Attention is All You Need to Optimize Wind Farm Operations and Maintenance

I Kazemian, M Yildirim, P Ramanan - arXiv preprint arXiv:2410.24052, 2024 - arxiv.org
Operations and maintenance (O&M) is a fundamental problem in wind energy systems with
far reaching implications for reliability and profitability. Optimizing O&M is a multi-faceted …

A UAV-Enabled Time-Sensitive Data Collection Scheme for Grassland Monitoring Edge Networks

D Jiao, Z Wang, W Fan, W Yang, P Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
Grassland monitoring is essential for the sustainable development of grassland resources.
Traditional Internet of Things (IoT) devices generate critical ecological data, making data …

AoI-Aware Deep Reinforcement Learning Based UAV Path Planning for Defence Applications

S Kumari, E Sodhi, D Gupta… - 2024 IEEE Space …, 2024 - ieeexplore.ieee.org
Next-gen wireless networks could greatly enhance capabilities by integrating Unmanned
Aerial Vehicles (UAVs) for real-time data gathering, especially in defense. Current UAV …