Deep Learning for Internet of Things Infrastructure

English | 2021 | ISBN: 978-0367457334 | 266 Pages | PDF | 10 MB

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 trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users.

FEATURES

• Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures
• Addresses emerging trends and issues on IoT systems and services across various application domains
• Investigates the challenges posed by the implementation of deep learning on IoT networking models and services
• Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT
• Explores new functions and technologies to provide adaptive services and intelligent applications for different end users