Artificial Intelligence in IoT

This book PDF is perfect for those who love Technology & Engineering genre, written by Fadi Al-Turjman and published by Springer which was released on 12 February 2019 with total hardcover pages 231. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Artificial Intelligence in IoT books below.

Artificial Intelligence in IoT
Artificial Intelligence in IoT
Author : Fadi Al-Turjman
File Size : 47,7 Mb
Publisher : Springer
Language : English
Release Date : 12 February 2019
ISBN : 9783030041106
Pages : 231 pages
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Artificial Intelligence in IoT by Fadi Al-Turjman Book PDF Summary

This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.

Artificial Intelligence in IoT

Artificial Intelligence in IoT by Fadi Al-Turjman

This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The

Get Book
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Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such as computer vision, NLP, and embedded machine learningBuild, maintain, and deploy machine learning systems to extract key

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