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- 232 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Smart Urban Computing Applications
Book details
Table of contents
Citations
About This Book
This edited book is a collection of quality research articles reporting research advances in the area of deep learning, IoT and urban computing. It 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.
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Yes, you can access Smart Urban Computing Applications by M.A. Jabbar,Sanju Tiwari,Fernando Ortiz-Rodriguez in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Half Title page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- List of Contributors
- List of Figures
- List of Tables
- List of Abbreviations
- 1 Requirement Analysis of Data Analytics Software Within the Scope of a Smart University
- 2 Performance Analysis of Deep Learning Models for Re-identification of a Person in a Public Surveillance System
- 3 Exploiting Trajectory Data to Improve Smart City Services
- 4 An EndâEnd Framework for Autonomous Driving Cars in a CARLA Simulator
- 5 IoT and Artificial Intelligence Techniques for Public Safety and Security
- 6 Deep Learning Approaches for the Classification of IoT-based Hyperspectral Images
- 7 Artificial Intelligence and IoT for Smart Cities
- 8 Intelligent Facility Management System for Self-sustainable Homes in Smart Cities: An Integrated Approach
- Artificial Intelligence and loT for Smart Cities
- Index
- About the Editors