Urban computing with Artificial Intelligence and IoT

Call for Book Chapters

Urban computing with

Artificial Intelligence and IoT

(Emerging Technology for smart living)

About the Book :

Due to urbanization, people are migrating to cities and governments are building smart cities to give the quality of life to citizens. Urban computing will solve human life quality; improve the urban environment, and smart city systems. With the integration of Internet of Things (IoT ) and advanced algorithms urban computing and intelligence can make informative decisions . These can improve quality of life and urban environments.

Urban computing is a process of integration and analysis of heterogeneous data to solve the issues faced by major cities. Urban computing is the integration of sensing, computing, and actuation technologies into urban settings used to improve human life quality, urban environment, and city operation systems.

Urban Computing has attracted great attention from industry and academia to solve many solutions for the problems like transportation, urbanization, energy and environment.

In light of this potential, this Book presents up-to-date information on Urban computing especially applications of deep learning and IoT .This Book discuss various computational approaches for addressing the challenges that arise in urban environments. The Book will explore mixture of deep learning methodologies and urban computing applications.

This Edited volume book is a collection of quality research articles reporting the research advances in the area of deep learning, IoT and urban computing.This Book describes new insights based on deep learning and IoT for urban computing and is useful for architects, engineers, policymakers, facility managers, academicians, and researchers who are interested in expanding their knowledge of the applications of deep learning trends involving urban computing.

Indexed By Scopus

Recommended Topics Include , But not Limited to

This Book will focus on latest research results and exchange views on the future research directions. It invites original contributions on, but not limited to, the themes and topics in the following areas of research

Track 1 : Technologies for Urban Computing

Artificial Intelligence and IoT for Urban Planning
Artificial Intelligence Techniques and IoT for Urban Data
Urban Economy using Big Data and Artificial Intelligence and IoT
Artificial Intelligence and IoT for Smart Cites
Urban Visualization Methods
Learning methods for Urban Data Mining
Trajectory Data Mining

Track 2 : Applications of Urban Computing

Urban Computing for Gentrification
Artificial Intelligence and IoT for urban Transportation Systems
Fusion of Artificial Intelligence and IoT for Urban Energy Consumption
Semantic Technologies for Smart Cities
Artificial Intelligence and IoT for Cultural archiving
Urban Computing to Predict Pollution in Certain Areas.
Artificial Intelligence and IoT to facilitate Social Interaction
Case studies on Urban computing with Artificial Intelligence and IoT

Track 3:Urban computing for Societal challenges

Challenges with IoT Technology in the Urban Computing
Artificial Intelligence and IoT for Social Applications
IoT and Artificial Intelligence Techniques for Public Safety and Security
Urban Environment Monitoring, Analytics and Prediction using IoT and Artificial Intelligence
Computational Epidemiology
Case studies based on IoT and Big Data Analytics Technologies applied to smart cities.
Urban Computing for Traffic anomaly detection
Urban Computing for disaster detection and evacuation
Urban Computing for Location Recommendation
Urban Computing for economic and policy aspects
Future directions for urban computing