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Machine learning for drone-enabled IoT networksopportunities, developments, and trends /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for drone-enabled IoT networksedited by Jahan Hassan, Sara Khalifa, Prasant Misra.
Reminder of title:	opportunities, developments, and trends /
other author:	Hassan, Jahan.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	ix, 207 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Internet of things.
Online resource:	https://doi.org/10.1007/978-3-031-80961-3
ISBN:	9783031809613$q(electronic bk.)

Machine learning for drone-enabled IoT networksopportunities, developments, and trends /
Machine learning for drone-enabled IoT networksopportunities, developments, and trends /[electronic resource] :edited by Jahan Hassan, Sara Khalifa, Prasant Misra. - Cham :Springer Nature Switzerland :2025. - ix, 207 p. :ill. (chiefly color), digital ;24 cm. - Advances in science, technology & innovation. IEREK interdisciplinary series for sustainable development,2522-8722. - Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development..

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.

ISBN: 9783031809613$q(electronic bk.)

Standard No.: 10.1007/978-3-031-80961-3doiSubjects--Topical Terms:

670954
Internet of things.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

Machine learning for drone-enabled IoT networksopportunities, developments, and trends /
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