1.

Record Nr.

UNINA9911001466203321

Titolo

Machine Learning for Drone-Enabled IoT Networks : Opportunities, Developments, and Trends / / edited by Jahan Hassan, Sara Khalifa, Prasant Misra

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-80961-0

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (IX, 207 p. 52 illus., 42 illus. in color.)

Collana

Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development, , 2522-8722

Disciplina

006.31

Soggetti

Machine learning

Internet of things

Geographic information systems

Machine Learning

Internet of Things

Geographical Information System

Aprenentatge automàtic

Drons

Internet de les coses

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Machine learning algorithms for drone-enabled IoT networks -- Sensing and data collection with drones for IoT applications -- Data analysis and processing for IoT networks assisted by drones -- Energy-efficient and scalable solutions for drone-assisted IoT networks -- Security and privacy issues in drone-enabled IoT networks -- Emerging trends and future directions in ML for drone-assisted IoT networks.

Sommario/riassunto

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: •Machine



learning algorithms for drone-enabled IoT networks •Sensing and data collection with drones for IoT applications •Data analysis and processing for IoT networks assisted by drones •Energy-efficient and scalable solutions for drone-assisted IoT networks •Security and privacy issues in drone-enabled IoT networks •Emerging trends and future directions in ML for drone-assisted IoT networks.