Get Free Shipping on orders over $79
Deep Learning for Internet of Things Infrastructure - Uttam Ghosh

Deep Learning for Internet of Things Infrastructure

By: Uttam Ghosh (Editor), Mamoun Alazab (Editor), Ali Kashif Bashir (Editor), Al-Sakib Khan Pathan (Editor)

eText | 30 September 2021 | Edition Number 1

At a Glance

eText


$90.20

or 4 interest-free payments of $22.55 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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

?

Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.

Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia.

Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom.

Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.

on
Desktop
Tablet
Mobile

Other Editions and Formats

Paperback

Published: 7th October 2024

More in Computer Science

Amazon.com : Get Big Fast - Robert Spector

eBOOK

ReFormat : Windows 11 - Adam Natad

eBOOK

AI-Powered Search - Trey Grainger

eBOOK