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Electronic Governance with Emerging Technologies Third International Conference, EGETC 2024, Jakarta, Indonesia, September 25–26, 2024, Revised Selected Papers /

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...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Ortiz-Rodriguez, Fernando (Editor), Tiwari, Sanju (Editor), Krisnadhi, Adila Alfa (Editor), Medina-Quintero, Jose Melchor (Editor), Valle-Cruz, David (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Udgivelse:1st ed. 2025.
Serier:Communications in Computer and Information Science, 2245
Fag:
Computer engineering.
Computer networks .
Software engineering.
Application software.
Computer Engineering and Networks.
Software Engineering.
Computer Communication Networks.
Computer and Information Systems Applications.
Online adgang:https://doi.org/10.1007/978-3-031-77029-6
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Indholdsfortegnelse:
  • -- 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.

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