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Machine Learning Paradigm for Internet of Things Applications
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Table of Contents
List of Illustrations
List of Tables
Guide
Pages
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1
Machine Learning Concept–Based IoT Platforms for Smart Cities’ Implementation and Requirements
1.1 Introduction
1.2 Smart City Structure in India 1.2.1 Bhubaneswar City
1.2.1.1 Specifications
1.2.1.2 Healthcare and Mobility Services
1.2.1.3 Productivity
1.2.2 Smart City in Pune
1.2.2.1 Specifications
1.2.2.2 Transport and Mobility
1.2.2.3 Water and Sewage Management
1.3 Status of Smart Cities in India
1.3.1 Funding Process by Government
1.4 Analysis of Smart City Setup
1.4.1 Physical Infrastructure-Based
1.4.2 Social Infrastructure-Based
1.4.3 Urban Mobility
1.4.4 Solid Waste Management System
1.4.5 Economical-Based Infrastructure
1.4.6 Infrastructure-Based Development
1.4.7 Water Supply System
1.4.8 Sewage Networking
1.5 Ideal Planning for the Sewage Networking Systems 1.5.1 Availability and Ideal Consumption of Resources
1.5.2 Anticipating Future Demand
1.5.3 Transporting Networks to Facilitate
1.5.4 Control Centers for Governing the City
1.5.5 Integrated Command and Control Center
1.6 Heritage of Culture Based on Modern Advancement
1.7 Funding and Business Models to Leverage
1.7.1 Fundings
1.8 Community-Based Development 1.8.1 Smart Medical Care
1.8.2 Smart Safety for The IT
1.8.3 IoT Communication Interface With ML
1.8.4 Machine Learning Algorithms
1.8.5 Smart Community
1.9 Revolutionary Impact With Other Locations
1.10 Finding Balanced City Development
1.11 E-Industry With Enhanced Resources
1.12 Strategy for Development of Smart Cities 1.12.1 Stakeholder Benefits
1.12.2 Urban Integration
1.12.3 Future Scope of City Innovations
1.12.4 Conclusion
References
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