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Data Science for Sustainable Development Goals : Indian Case Studies.

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Format:
Book
Author/Creator:
Sarkar, Avik.
Contributor:
Sarkar, Avik
Language:
English
Physical Description:
1 online resource (238 pages)
Edition:
1st ed.
Place of Publication:
Milton : CRC Press LLC, 2026.
Summary:
The book is an authoritative reference on real-life applications of Data Science and Big Data for SDGs. It includes a list of case studies from different regions across India. It serves as a valuable resource for students, researchers, and scholars seeking to deepen their knowledge and engage with real life applications of Data Science.
Contents:
Cover
Half Title
Title
Copyright
Dedication
Contents
Foreword
Preface
Editor Bios
Contributors
Introduction
Section I Planning and Governance
Chapter 1 CM Relief Fund prediction - The Right Amount of Funds at the Right Time for the Right Cause
Chapter 2 Sustainable Development Goals: India Index: The Journey of Creating It
Chapter 3 Janata + Data: Making Data Science and Participatory Planning Come Alive
Chapter 4 Using Big Data to Create an Evidence-Based Design for a Gram Panchayat Development Plan to Encourage Targeted Development
Chapter 5 Enhancing Reader Engagement and Creating Interaction through Data Analysis
Chapter 6 Vidhan Sabha Proceeding Search - "Making Governance Transparent, in People's Language"
Section II Human Capital
Chapter 7 Identifying and Rectifying Urban Bias in Allocation of Targets in Rural Skilling Program in Kerala
Chapter 8 Managing, Predicting, and Preventing the Coronavirus Outbreak in Orissa: A Data for Good Initiative
Chapter 9 Child Health Cluster Analytics in Maharashtra - Non-Key Indicators Tell Key Stories
Chapter 10 Using Data Analytics to Improve Students' Performance
Chapter 11 Determinants of Placements in the Indian Skilling Ecosystem
Section III Agriculture, Climate and Environment
Chapter 12 Decision Support System for Sustainable Growth in the Agriculture Sector
Chapter 13 Use of Satellite Imagery and Analytics for Replacing Crop-Cutting Experiments for Agricultural Yields
Chapter 14 Harnessing Technology to Create Smart Farms and Achieve Agricultural Progress: Case Studies across India
Chapter 15 Supporting Farmers through Comprehensive Real-Time Agricultural Advisories Using Spatial Analytics
Chapter 16 Long-Term Rainfall Forecasting Using Data Science.
Chapter 17 Sundarbans Mangrove Tigers: How They Came to Be Camera-Trapped and Counted
Section IV Energy, Water and Sanitation
Chapter 18 Integrated Energy Modelling for India
Chapter 19 Evaluation Study to Assess the Performance of Sanitation Coverage in Selected States
Chapter 20 Data-Driven Approach to Determine Distribution Centres in Pradhan Mantri Ujjwala Yojana
Chapter 21 Smart Sanitation at Kumbh 2019
Chapter 22 Approaching Sustainable Development in Andhra Pradesh through Managing Its Water Resources
Section V Smart City and Urban Development
Chapter 23 Using Drones to Map and Assess Road Quality in Rural Andhra Pradesh
Chapter 24 Facial Recognition: Translating Algorithmic Promise into Safer, More Sustainable Indian Cities
Chapter 25 Revamping City Surveillance through Deep Learning and Artificial Intelligence
Chapter 26 Location Casting: Identifying Demand Clusters via Big Data
Index.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9781003487531

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