Ortiz-Rodriguez / Tiwari / Krisnadhi Electronic Governance with Emerging Technologies

Third International Conference, EGETC 2024, Jakarta, Indonesia, September 25–26, 2024, Revised Selected Papers
Erscheinungsjahr 2024
ISBN: 978-3-031-77029-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 226 Seiten

Reihe: Communications in Computer and Information Science

This book constitutes the refereed proceedings of the Third International Conference on Electronic Governance with Emerging Technologies, EGETC 2024, held in Jakarta, Indonesia, during September 25–26, 2024.
The 16 full papers and 1 short paper presented in this book were reviewed and selected from 50 submissions.
This volume discusses the latest scientific results and technological innovations related to emerging technologies that support electronic governance. It serves as a forum for academics, scholars, and practitioners from academia and industry to share and exchange recent developments in the domain of e-government and e-governance of digital organizations. Additionally, it aims to highlight emerging research trends and their applications.

Zielgruppe

Research

Autoren/Hrsg.

Ortiz-Rodriguez, Fernando

Tiwari, Sanju

Krisnadhi, Adila Alfa

Medina-Quintero, Jose Melchor

Valle-Cruz, David

Inhaltsverzeichnis

.- Empowering Multiple Sclerosis Patients: A Conceptual Technological Framework 4.0 for Personalized Automated Smart-Homes in Healthcare 4.0.

.- Spatial Temporal Signatures: A Hybrid CNN-LSTM Architecture for Improved Sign Language Recognition

.- Ecological Development of A Novel Machine Learning Technique for Electricity Consumption and Cost Prediction in Cloud Computing.

.- Blockchain Based Decentralized Approach for Securing Fog Computing Environment.

.- Enhancing Face Spoofing Detection via CNN Model Integration with Normalized Features.

.- Study of ZigBee-Based Communication to Share Operative Weather Information between UASs in the Frame of Smart Cities Concept.

.- Automating Exam Assessment Through Digital Transformation and Image Processing.

.- An Analysis of Ethical Dimension of Machine Learning Models in Software Defect Prediction in Healthcare Sector.

.- Leaf Diseases Detection in Peach using EfficientNet.

.- MedInsight: A Personalized Prescription Recommendation Using Machine Learning.

.- Intelligent Machine Learning for Cybersecurity: Anomaly Detection in Network Intrusion Systems and Beyond.

.- Enhancing Cyber Resilience: Implementing DFMCAI for Threat Detection and Analysis.

.- Forecasting Future Credit Card Delinquencies:  Leveraging Data Tables and Visual Analysis for  Enhanced Accuracy.

.- Navigating the Strategic Landscape: An In-Depth Review of the Strategic Planning Process.

.- Exploring text vectorization on the polarity detection of Spanish comments.

.- Evolutionary Optimization Techniques for the Design of Three-Dimensional UAV’s Antenna Arrays.

.- Cooperative Multi-Agent Pursuit-Evasion Using Convolutional Neural Networks.