Machine Learning-Aided Operations and Communications of Unmanned Aerial
Vehicles: A Contemporary Survey

Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey

7 November 2022

Harrison Kurunathan

Papers citing "Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey"

15 / 15 papers shown

Title
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks Yousef Emami Hao Gao SeyedSina Nabavirazani Luis Almeida 38 0 0 20 Apr 2025
AD-Det: Boosting Object Detection in UAV Images with Focused Small Objects and Balanced Tail Classes Zhenteng Li Sheng Lian Dengfeng Pan Y. Wang Wei Liu 56 0 0 08 Apr 2025
Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning Gaurav Shetty M. Ramezani Hamed Habibi Holger Voos J. L. Sánchez-López 64 0 0 09 Feb 2025
On the Use of Immersive Digital Technologies for Designing and Operating UAVs Yousef Emami Kai Li Luis Almeida Wei Ni Wei Ni 21 1 0 23 Jul 2024
Fusion Flow-enhanced Graph Pooling Residual Networks for Unmanned Aerial Vehicles Surveillance in Day and Night Dual Visions A. Noor Kai Li Eduardo Tovar Pei Zhang Bo Wei 26 3 0 17 Jul 2024
Large Language Models for UAVs: Current State and Pathways to the Future Shumaila Javaid Nasir Saeed Bin He 37 17 0 02 May 2024
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning Jizhe Dou Haotian Zhang Guodong Sun 20 0 0 16 Mar 2024
Autonomous Strike UAVs for Counterterrorism Missions: Challenges and Preliminary Solutions Meshari Aljohani Ravi Mukkamalai Stephen Olariu 26 1 0 01 Mar 2024
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities Guangyuan Liu Nguyen Van Huynh Hongyang Du D. Hoang Dusit Niyato Kun Zhu Jiawen Kang Zehui Xiong Abbas Jamalipour Dong In Kim 52 13 0 28 Feb 2024
Autonomous Advanced Aerial Mobility -- An End-to-end Autonomy Framework for UAVs and Beyond Sakshi Mishra Praveen Palanisamy 31 16 0 08 Nov 2023
A Cyberpunk 2077 perspective on the prediction and understanding of future technology Miguel Bordallo López Constantino Álvarez Casado 21 1 0 25 Sep 2023
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning Alireza Shamsoshoara Fatemeh Lotfi Sajad Mousavi Fatemeh Afghah Ismail Güvenç 31 10 0 15 Jun 2023
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences Weihua He Yujie Wu Lei Deng Guoqi Li Haoyu Wang Yang Tian Wei Ding Wenhui Wang Yuan Xie 88 124 0 02 May 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,707 0 18 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017