The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024) [electronic resource] / edited by Muhammad Younas, Irfan Awan, Natalia Kryvinska, Jamal Bentahar, Perin Ünal.

Colaborador(es): Younas, Muhammad [editor.] | Awan, Irfan [editor.] | Kryvinska, Natalia [editor.] | Bentahar, Jamal [editor.] | Ünal, Perin [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 881Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XI, 129 p. 56 illus., 52 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031731518Tema(s): Computational intelligence | Engineering -- Data processing | Computational Intelligence | Data EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Privacy Preserving Energy Optimisation in Home Automation Systems -- Self Sovereign Identity Management System Using Verifiable Credentials to Enhance Privacy and Security Through Zero Knowledge Proofs -- Investigation into Data Protection Strategies in Complex Digital Health -- Interpretable SHAP Driven Machine Learning for Accurate Fault Detection in Software Engineering -- Audio Driven Video Filtering Using Machine Learning.
En: Springer Nature eBookResumen: This book is the 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024), 19-21 Aug 2024, Vienna, Austria. This book constitutes refereed articles which present research work on timely research themes such as novel AI methods and models, deep learning techniques, data analytics and hidden patterns, security, privacy and trust, blockchain data management, and fraud detection and prevention, among others. The intended readership of the book includes researchers, developers, and practitioners in the areas of AI, big data, blockchain techniques, technologies, and their applications.
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Privacy Preserving Energy Optimisation in Home Automation Systems -- Self Sovereign Identity Management System Using Verifiable Credentials to Enhance Privacy and Security Through Zero Knowledge Proofs -- Investigation into Data Protection Strategies in Complex Digital Health -- Interpretable SHAP Driven Machine Learning for Accurate Fault Detection in Software Engineering -- Audio Driven Video Filtering Using Machine Learning.

This book is the 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024), 19-21 Aug 2024, Vienna, Austria. This book constitutes refereed articles which present research work on timely research themes such as novel AI methods and models, deep learning techniques, data analytics and hidden patterns, security, privacy and trust, blockchain data management, and fraud detection and prevention, among others. The intended readership of the book includes researchers, developers, and practitioners in the areas of AI, big data, blockchain techniques, technologies, and their applications.

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