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Electronic Governance with Emerging Technologies

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Cover of 'Electronic Governance with Emerging Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning Based Obstructive Sleep Apnea Detection for e-health Applications
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    Chapter 2 Deep Learning and Sign Language Models Based Enhanced Accessibility of e-governance Services for Speech and Hearing-Impaired
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    Chapter 3 A Blockchain Enabled Trusted Public Distribution Management System Using Smart Contract
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    Chapter 4 Administration of Vaccine Mechanism for COVID-19 Using Blockchain
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    Chapter 5 Cyber Security Strategies While Safeguarding Information Systems in Public/Private Sectors
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    Chapter 6 The Spatial Relationships of Meteorological Data for Unmanned Aerial System Decision-Making Support
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    Chapter 7 HIAS: Hybrid Intelligence Approach for Soil Classification and Recommendation of Crops
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    Chapter 8 Education 5.0 Maturity Index: Concept and Prospects for Development
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    Chapter 9 Interpretability of AI Systems in Electronic Governance
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    Chapter 10 An Automated Stress Recognition for Digital Healthcare: Towards E-Governance
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    Chapter 11 Emergency Supply Chain Management
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    Chapter 12 Public Budget Simulations with Machine Learning and Synthetic Data: Some Challenges and Lessons from the Mexican Case
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    Chapter 13 Open Data Hackathon as a Tool for Increased Engagement of Generation Z: To Hack or Not to Hack?
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    Chapter 14 Data Visualization Guide for Smart City Technologies
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    Chapter 15 A Machine Learning-Based Mobile Chatbot for Crop Farmers
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    Chapter 16 Urban Data: Sources and Targeted Applications for Urban Planning Indicators Modelling
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    Chapter 17 Understanding KlimaDAO Use and Value: Insights from an Empirical Analysis
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Title
Electronic Governance with Emerging Technologies
Published by
Springer Nature Switzerland, January 2023
DOI 10.1007/978-3-031-22950-3
ISBNs
978-3-03-122949-7, 978-3-03-122950-3
Editors

Ortiz-Rodríguez, Fernando, Tiwari, Sanju, Sicilia, Miguel-Angel, Nikiforova, Anastasija

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