Deep Learning for Internet of Things Infrastructure Book [PDF] Download

Download the fantastic book titled Deep Learning for Internet of Things Infrastructure written by Uttam Ghosh, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Deep Learning for Internet of Things Infrastructure", which was released on 30 September 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Deep Learning for Internet of Things Infrastructure by Uttam Ghosh PDF

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.


Detail About Deep Learning for Internet of Things Infrastructure PDF

  • Author : Uttam Ghosh
  • Publisher : CRC Press
  • Genre : Computers
  • Total Pages : 266 pages
  • ISBN : 1000431894
  • PDF File Size : 52,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Deep Learning for Internet of Things Infrastructure

Deep Learning for Internet of Things Infrastructure
  • Publisher : CRC Press
  • File Size : 39,7 Mb
  • Release Date : 30 September 2021
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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

Deep Learning for Internet of Things Infrastructure

Deep Learning for Internet of Things Infrastructure
  • Publisher : Unknown Publisher
  • File Size : 31,9 Mb
  • Release Date : 20 May 2024
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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

Data Analytics for Internet of Things Infrastructure

Data Analytics for Internet of Things Infrastructure
  • Publisher : Springer Nature
  • File Size : 35,7 Mb
  • Release Date : 19 September 2023
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This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus

Advances in Deep Learning Applications for Smart Cities

Advances in Deep Learning Applications for Smart Cities
  • Publisher : IGI Global
  • File Size : 25,7 Mb
  • Release Date : 13 May 2022
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Within the past decade, technology has grown exponentially, and governments have promoted smart cities. Emerging smart cities have become both crucibles and showrooms for the practical application of the internet

Artificial Intelligence-based Internet of Things Systems

Artificial Intelligence-based Internet of Things Systems
  • Publisher : Springer Nature
  • File Size : 43,5 Mb
  • Release Date : 11 January 2022
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The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring

The Internet of Things

The Internet of Things
  • Publisher : John Wiley & Sons
  • File Size : 50,5 Mb
  • Release Date : 08 June 2020
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Provides comprehensive coverage of the current state of IoT, focusing on data processing infrastructure and techniques Written by experts in the field, this book addresses the IoT technology stack, from

Machine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT
  • Publisher : John Wiley & Sons
  • File Size : 25,8 Mb
  • Release Date : 14 July 2021
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Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from

Big Data, IoT, and Machine Learning

Big Data, IoT, and Machine Learning
  • Publisher : CRC Press
  • File Size : 40,5 Mb
  • Release Date : 29 July 2020
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The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications