Electronic Governance with Emerging Technologies de Fernando Ortiz-Rodríguez

Electronic Governance with Emerging Technologies

Fernando Ortiz-Rodríguez

Sanju Tiwari

Miguel-Angel Sicilia

Anastasija Nikiforova

This book constitutes selected and revised papers presented at the First International Conference on Electronic Governance with Emerging Technologies, EGETC 2022, held in Tampico, Mexico, in September 2022.

The 15 full papers and 2 short papers presented were thoroughly reviewed and selected from the 54 submissions. This volume focuses on the recent developmentsin the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications.

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Cuprins

Deep Learning based Obstructive Sleep Apnea Detection for e-health Applications.- Deep Learning and Sign language models based enhanced accessibility of e-governance services for speech and hearing-impaired.- A Blockchain Enabled Trusted Public Distribution Management System using Smart Contract.- Administration of Vaccine mechanism for COVID-19 using Blockchain.- Cyber Security Strategies While Safeguarding Information Systems in Public/Private Sectors.- The spatial relationships of meteorological data for Unmanned Aerial System Decision-Making Support.- HIAS: Hybrid Intelligence Approach for Soil Classification and Recommendation of Crops.- Education 5.0 Maturity Index: Concept and Prospects for Development.- Interpretability of AI systems in electronic governance to improve user trust and acceptance.- An automated stress recognition for digital healthcare: Towards e-governance.-Emergency supply chain management.- Public Budget Simulations with Machine Learning and Synthetic Data: Some Challenges and Lessons from The Mexican Case.- Open data hackathon as a tool for increased engagement of Generation Z: to hack or not to hack?.- Data Visualization Guide for Smart City Technologies.- A D eep Learning-based Mobile Chatbot Model for Crop Farmers.- Urban data: sources and targeted applications for urban planning indicators modelling.- Understanding KlimaDAO use and value: insights from an empirical analysis.