Название: Deep Learning for Internet of Things Infrastructure Автор: Uttam Ghosh, Mamoun Alazab, Ali Kashif Bashir, and Al-Sakib Khan Pathan Издательство: CRC Press Год: 2022 Формат: PDF Страниц: 267 Размер: 10 Mb Язык: English
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.
Deep Learning: Convergence to Big Data Analytics Название: Deep Learning: Convergence to Big Data Analytics Автор: Murad Khan, Bilal Jan, Haleem Farman Издательство: Springer Серия: SpringerBriefs...
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Deep Learning for Internet of Things Infrastructure 
