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E-raamat: Smart Innovation of Web of Things [Taylor & Francis e-raamat]

, (Dean, Full Professor, Universidad Internacional de La Rioja, Spain), (Ambedkar Institute of Advanced Communication Technologies and Research, India)
  • Formaat: 212 pages, 6 Tables, black and white; 11 Line drawings, black and white; 51 Halftones, black and white; 65 Illustrations, black and white
  • Sari: Internet of Everything IoE
  • Ilmumisaeg: 23-Jun-2020
  • Kirjastus: CRC Press
  • ISBN-13: 9780429298462
  • Taylor & Francis e-raamat
  • Hind: 230,81 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 329,73 €
  • Säästad 30%
  • Formaat: 212 pages, 6 Tables, black and white; 11 Line drawings, black and white; 51 Halftones, black and white; 65 Illustrations, black and white
  • Sari: Internet of Everything IoE
  • Ilmumisaeg: 23-Jun-2020
  • Kirjastus: CRC Press
  • ISBN-13: 9780429298462
The Web of Things (WoT) is a concept that describes approaches, programming tools and software architectural systems, which interface networks of real-world objects with the World Wide Web. The book is organized into 11 chapters, each focusing on a unique wireless technological aspect of the Web of Things, and it aims to comprehensively cover each of its various applications, including:











A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoT





A blend of theoretical and simulation-based problems for better understanding of the concepts behind WoT





Various exemplifying applications in which the use of WoT is very attractive and an inspiration for future applications

The book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.
Preface vii
Editors xi
Contributors xiii
1 Emergence of the Web of Things: A Survey
1(20)
Aditya Garg
Manju Khari
2 WoT-Enabled Delay-Tolerant Networks
21(30)
Siddhant Banyal
Kartik Krishna Bhardwaj
Deepak Kumar Sharma
3 Deep Learning-Based Decision-Making with WoT for Smart City Development
51(12)
S. Vimal
V. Jeyabalaraja
P. Subbulakshmi
A. Suresh
M. Kaliappan
S. Koteeswaran
4 Predicting Epilepsy Seizures Using Machine Learning and IoT
63(20)
Bahubali Shiragapur
Tanuja S. Dhope (Shendkar)
Dina Simunic
Vijayalaxmi Jain
Nishikant Surwade
5 Cognitive Radio Networks
83(22)
Kirti Dalai
Aarti Jain
6 Extended Paradigms for Botnets with WoT Applications: A Review
105(18)
Manju Khari
Renu Dalai
Pratibha Rohilla
7 WoT-Enabled Smart Cities
123(24)
Aarti Jain
Rupali Rani
8 WoT-Enabled Retail Management
147(16)
Deepti Mishra
9 WoT-Enabled Banking Sector Modernization
163(12)
Aarti Jain
10 The Revolutionary Future Impact of the Web of Things in the Retail Industry: Toward Intelligent Retail
175(12)
Amit Bhati
Ashish Gupta
11 AndroSet: An Automated Tool to Create Datasets for Android Malware Detection and Functioning with WoT
187(20)
Manju Khari
Renu Dalai
Udit Misra
Ashish Kumar
Index 207
Aarti Jain, PhD, is Assistant Professor at Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR), Under Government of NCT Delhi, affiliated with Guru Gobind Singh Indraprastha (GGSIP) University, Delhi, India.

Rubén González Crespo, PhD, is Dean of the School of Engineering and Technology at La Universidad en Internet (UNIR) and Director of Policy and Academic Planning at the Universidad Internacional de La Rioja, Spain.

Manju Khari, PhD, is Assistant Professor and Professor in Charge of IT Services at Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR), Under Government of NCT Delhi, affiliated with Guru Gobind Singh Indraprastha (GGSIP) University, Delhi, India.