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Proceedings of Ninth International Congress on Information and Communication Technology ICICT 2024, London, Volume 3 /

This book gathers selected high-quality research papers presented at the Ninth International Congress on Information and Communication Technology, held at Brunel University, London, on February 19–22, 2024. It discusses emerging topics pertaining to information and communication technology (ICT) for...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Yang, Xin-She (Editor), Sherratt, Simon (Editor), Dey, Nilanjan (Editor), Joshi, Amit (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Colección:Lecture Notes in Networks and Systems, 1013
Materias:
Telecommunication.
Technology > Sociological aspects.
Information technology.
Internet of things.
Computational intelligence.
Artificial intelligence.
Communications Engineering, Networks.
Information and Communication Technologies (ICT).
Internet of Things.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:https://doi.org/10.1007/978-981-97-3559-4
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Tabla de Contenidos:
  • Chapter 1: A Transformer and Federated Learning Techniques for Detecting DDoS Attacks in IoT Environments
  • Chapter 2: Sensory Substitution in Music: Enhancing Deaf Perception Through Vibrotactile Feedback
  • Chapter 3: Bridging Nanomachines: Bidirectional Channel in a Bio-inspired System
  • Chapter 4: Distributed Deep Learning-Based Model for Financial Fraud Detection in Supply Chain Networks
  • Chapter 5: Smart Living
  • Chapter 6: A Performance Comparison between a Digital Shadow and a Digital Twin in a Mixed Model Stochastic System
  • Chapter 7: Characteristics for HVDC GIS/GIL Spacer under DC Superimposed Lightning Impulse Voltage Conditions
  • Chapter 8: CCMT : A Code Complexity Measuring Tool
  • Chapter 9: PERTINENT ISSUES IN ARTIFICIAL INTELLIGENCE SYTEMS ADOPTION
  • Chapter 10: Facial Expression Recognition: A Lite Deep Learning Based Approach. etc.

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