Deep Learning for Internet of Things Infrastructure /

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Ghosh, Uttam (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, 2022.
Edition:	First edition.
Subjects:	Internet of things. Machine learning. Internet des objets. Apprentissage automatique. COMPUTERS > Networking > General. Internet of things Machine learning Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1 Data Caching at Fog Nodes under IoT Networks: Review of Machine Learning Approaches
Chapter 2 ECC-Based Privacy-Preserving Mechanisms Using Deep Learning for Industrial IoT: A State-of-the-Art Approaches
Chapter 3 Contemporary Developments and Technologies in Deep Learning-Based IoT
Chapter 4 Deep Learning-Assisted Vehicle Counting for Intersection and Traffic Management in Smart Cities
Chapter 5 Toward Rapid Development and Deployment of Machine Learning Pipelines across Cloud-Edge
Chapter 6 Category Identification Technique by a Semantic Feature Generation Algorithm
Chapter 7 Role of Deep Learning Algorithms in Securing Internet of Things Applications
Chapter 8 Deep Learning and IoT in Ophthalmology
Chapter 9 Deep Learning in IoT-Based Healthcare Applications
Chapter 10 Authentication and Access Control for IoT Devices and Its Applications
Chapter 11 Deep Neural Network-Based Security Model for IoT Device Network.