Overview

This book provides knowledge into the intelligence and security areas of smart-city paradigms. It focuses on connected computing devices, mechanical and digital machines, objects, and/or people that are provided with unique identifiers. The authors discuss the ability to transmit data over a wireless network without requiring human-to-human or human-to-computer interaction via secure/intelligent methods. The authors also provide a strong foundation for researchers to advance further in the assessment domain of these topics in the IoT era. The aim of this book is hence to focus on both the design and implementation aspects of the intelligence and security approaches in smart city applications that are enabled and supported by the IoT paradigms.  Presents research related to cognitive computing and secured telecommunication paradigms; Discusses development of intelligent outdoor monitoring systems via wireless sensing technologies; With contributions from researchers, scientists, engineers and practitioners in telecommunication and smart cities.

Full Product Details

Author:   Fadi Al-Turjman
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9783030147204

ISBN 10:   3030147207
Pages:   243
Publication Date:   15 August 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Chapter1: An Effective Design for Polar Codes over Multipath Fading Channels.- Chapter2: Learning-City: Knowledge generation for Smart Cities.- Chapter3: Deep Reinforcement Learning paradigm for dense wireless networks in Smart-Cities.- Chapter4: Energy Demand Forecasting Using Deep Learning.- Chapter5: Context-aware Location Recommendation for Smart-Cities.- Chapter6: Fractional Derivatives for Edge Detection: Application to Road Obstacles.- Chapter7: ML Parameter Estimation in the Smart-city Paradigm for the Medical field.- Chapter8: Open Source Tools for Machine Learning with Big Data in Smart Cities.- Chapter9: Identity Verification using Biometrics in Smart-cities.- Chapter10: Dark Web Traffic Analysis through Geo-Location IP Address Space.- Chapter11: LBCLCT: Location Based Cross Language Cipher Technique.

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Author Information

Prof. Dr. FADI AL-TURJMAN received his Ph.D. degree in computer science from Queen’s University, Canada, in 2011. He is a Professor with Antalya Bilim University, Turkey. He is a leading authority in the areas of smart/cognitive, wireless and mobile networks’ architectures, protocols, deployments, and performance evaluation. His record spans over 180 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored/edited more than 10 books about cognition, security, and wireless sensor networks’ deployments in smart environments with Taylor & Francis, and the Springer (Top tier publishers in the area). He was a recipient of several recognitions and best papers’ awards at top international conferences. He led a number of international symposia and workshops in flag-ship ComSoc conferences. He is serving as the Lead Guest Editor in several journals, including the IET WirelessSensor Systems and Sensors (MDPI and Wiley). He is also the Publication Chair for the IEEE International Conference on Local Computer Networks.

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