IoT and Big Data Analytics for Smart Cities
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B01=Balamurugan Balusamy
B01=Gheorghita Ghinea
B01=Munish Sabharwal
B01=Rajesh Kumar Dhanaraj
B01=Sathiyaraj Rajendran
Big Data
Big Data Analytics
Category1=Non-Fiction
Category=JBSD
Category=JFSG
Category=UNC
Category=UNF
Category=UTC
Cloud Computing
computational data science
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COP=United Kingdom
CWSI
Data Analytics
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emergency communication systems
Energy-Efficient solutions
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eq_computing
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eq_nobargain
eq_non-fiction
eq_society-politics
Intelligent City
Intelligent Framework
Intelligent Systems
intelligent traffic management framework
Internet of Things
IoT Data
IoT Data Analytic
IoT Device
IoT Ecosystem
IoT Infrastructure
IoT Network
IoT Security
IoT System
IoT Technology
Language_English
LPWAN
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Pandemic Management
predictive modelling
Price_€50 to €100
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PS=Forthcoming
Random Forest
Security & Privacy Challenges
Smart Agriculture
Smart Cities
Smart City Applications
Smart Urban
Smarter applications
Social
Social Networking
softlaunch
Soil Fertility
sustainable agriculture technology
Switch Board
urban informatics
Wireless Body Area Networks
Product details
- ISBN 9781032380490
- Weight: 380g
- Dimensions: 178 x 254mm
- Publication Date: 08 Oct 2024
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
- Language: English
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The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities.
Features:
- Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application
- Challenges and Roles of IoT and Big Data in Smart City applications
- Provides Big Data-IoT intelligent smart systems in a global perspective
- Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays
- Gives various solutions and ideas for smart traffic development in smart cities
- Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications
This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.
Sathiyaraj Rajendran, Rajesh Kumar Dhanaraj
