000			03374nam a22002417a 4500
005			20251012164137.0
008			251012b |||||||| |||| 00| 0 eng d
020			_a9783031809606
082			_a006.31 _bHAS
245			_aMachine learning for drone-enabled IoT networks: _bopportunities, developments, and trends
260			_aCham _bSpringer _c2025
300			_aix, 207 p.
365			_aINR _b11596.29
490			_aAdvances in Science, Technology & Innovation (ASTI)
500			_aTable of contents: Front Matter Pages i-ix Download chapter PDF Unmanned Aerial Vehicles Enabled IoT Platform for Effective Disaster Management R. Anjana Devi, V. Harshini Amutha, Priya Thiagarajan Pages 1-17 Exploring Machine and Deep Learning for Crop Detection and Yield Prediction in Drone-Enabled IoT Networks Youness Hnida, Mohamed Adnane Mahraz, Ali Yahyaouy, Ali Achebour, Jamal Riffi, Hamid Tairi Pages 19-38 Drone Swarm Coordination Using Machine Learning in IoT Networks Divyesh Divakar, Kanmani, A. V. Supriya Pages 39-64 Security and Privacy Issues in Drone-Enabled IoT Networks Roopashree Nayak, Jennifer C. Saldanha, Sumiksha Shetty, A. B. Smitha, Ragesh Raju Pages 65-80 Enhancing Capabilities and Security Features of Drone Networks Through Machine Learning: A Comprehensive Overview Dipta Gomes, Manzurul Hasan, Supta Richard Philip Pages 81-105 Unlocking the Potential of Machine Learning for Enhanced Security in Drone-Enabled IoT Networks M. S. Bhargavi, P. Hemavathi, Chowdam Jaganath, Kilari Narendra Pages 107-120 Machine Learning Models for Drone Security: Cognitive Versus Cyber Intelligence for Safety Operations Simeon Okechukwu Ajakwe, Christianah Amaka Okoloegbo, Jae Min Lee, Dong Seong Kim Pages 121-139 Cost–Benefit Analysis of Sensing and Data Collection with Drones for IoT Applications Harshit Mishra, Divyanshi Mishra, Ankit Kumar Tiwari, Deep Chand Nishad Pages 141-168 Economic Analysis of AI Integration in Internet of Drones (IoD) Harshit Mishra, Shripati Dwivedi Pages 169-190 Emerging Trends and Future Directions in ML for Drone-Assisted IoT Networks M. Praveen Kumar, A. B. Abhishek, S. Pavanalaxmi, T. Kripa, Roopashree Nayak Pages 191-207 [https://link.springer.com/book/10.1007/978-3-031-80961-3]
520			_aThis 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 (https://link.springer.com/book/10.1007/978-3-031-80961-3)
650			_aMachine learning
650			_aIoT--Drone _925555
700			_aJahan, Hassan [Editor] _925556
700			_aSara, Khalifa [Editor] _925557
700			_aMisra, Prasant [Editor] _925558
942			_cBK _2ddc
999			_c10485 _d10485