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.

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.