The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024)
Author:   Muhammad Younas ,  Irfan Awan ,  Natalia Kryvinska ,  Jamal Bentahar
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   881
ISBN:  

9783031731501


Pages:   129
Publication Date:   09 November 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024)


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Overview

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.

Full Product Details

Author:   Muhammad Younas ,  Irfan Awan ,  Natalia Kryvinska ,  Jamal Bentahar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   881
ISBN:  

9783031731501


ISBN 10:   3031731506
Pages:   129
Publication Date:   09 November 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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