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A Survey on Machine|Learning Techniques for UAV|Based ...


A Survey on Machine-Learning Techniques for UAV-Based ... - MDPI

In this article, we provide a detailed survey of all relevant research works, in which ML techniques have been used on UAV-based communications.

A Survey on Machine-Learning Techniques for UAV-Based ...

Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless communication networks. Their adoption in various ...

[PDF] A Survey on Machine-Learning Techniques for UAV-Based ...

This article provides a detailed survey of all relevant research works, in which ML techniques have been used on UAV-based communications ...

(PDF) A Survey on Applications of Unmanned Aerial Vehicles Using ...

In this context, Machine Learning (ML) techniques provide solutions to several problems concerning the use of UAVs in civil and military applications. An ...

A Survey on the Use of Deep Learning Techniques for UAV ... - MDPI

Currently, machine and deep learning techniques are popular and are also used in various drone-related applications. However, no detailed research has been ...

Machine Learning Methods for UAV Flocks Management-A Survey

It may be useful to group the UAVs into clusters/flocks in certain domains, and various challenges associated with UAV usage can be alleviated ...

Machine Learning Methods for Management UAV Flocks -- a Survey

In this survey, we describe the basic terms relating to UAVS and modern ML methods, and we provide an overview of related tutorials and surveys.

A survey of deep learning techniques for vehicle detection from UAV ...

This paper presents a survey of deep learning techniques for performing on-ground vehicle detection from aerial imagery captured using UAVs (also known as ...

A Survey on Machine-Learning Techniques for UAV-Based ... - OUCI

In this article, we provide a detailed survey of all relevant research works, in which ML techniques have been used on UAV-based communications for improving ...

Machine Learning Methods for Management UAV Flocks -- a Survey

It may be useful to group the UAVs into clusters/flocks in certain domains, and various challenges ... [Show full abstract] associated with UAV ...

Machine Learning Techniques for UAV Trajectory Optimization—A ...

A deep study is made and presented in this work with a keen study of all Machine Learning techniques utilized for UAV linked changes.

A Survey on Energy Optimization Techniques in UAV-Based ... - arXiv

Title:A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches ; https://doi.

Artificial Intelligence for UAV-enabled Wireless Networks: A Survey

Vouyioukas, and A. G.. Kanatas, “A survey on machine-learning techniques for UAV-based communications,” Sensors, vol. 19, no. 23, p. 5170, 2019. [25] G. Gan ...

Machine Learning Methods for UAV Flocks Management-A Survey

This comprehensive review may be useful for both researchers and developers in providing a wide view of various aspects of state-of-the-art ML technologies ...

A survey of deep learning techniques for vehicle detection from UAV ...

“Unmanned aerial vehicles” (UAVs) are now being used for a wide range of surveillance applications. Specifically, the detection of on-ground vehicles from ...

A Survey on Machine-Learning Techniques for UAV-Based ...

External Links · Cite Key · Statistics · PDF · Researchr · A Survey on Machine-Learning Techniques for UAV-Based Communications.

A Survey on Machine-Learning Techniques for UAV-Based ...

TL;DR: This article provides a detailed survey of all relevant research works, in which ML techniques have been used on UAV-based communications for ...

A survey of machine learning techniques for improving Global ...

The evaluation shows that the NN outperforms SVM, achieving a 97.7% discrimination accuracy for NLOS signals. In [87], an ML-based framework is ...

A Survey on Reinforcement Learning Methods for UAV Systems

In this paper, we first provide a comprehensive overview and summary of the application of RL in different UAV application scenarios based on the ...

How do we get the most out of Lidar surveys using machine learning?

Lidar scans with drones is pretty expensive and time consuming. I know it has been done and discussed before but I am developing code for a ...