The Younas, Muhammad. editor. edt http://id.loc.gov/vocabulary/relators/edt Awan, Irfan. editor. edt http://id.loc.gov/vocabulary/relators/edt Kryvinska, Natalia. editor. edt http://id.loc.gov/vocabulary/relators/edt Bentahar, Jamal. editor. edt http://id.loc.gov/vocabulary/relators/edt Ünal, Perin. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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electronic resource

access XI, 129 p. 56 illus., 52 illus. in color. online resource. 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. 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. edited by Muhammad Younas, Irfan Awan, Natalia Kryvinska, Jamal Bentahar, Perin Ünal. Computational intelligence Engineering Data processing Computational Intelligence Data Engineering Q342 9783031731518 https://doi.org/10.1007/978-3-031-73151-8 https://doi.org/10.1007/978-3-031-73151-8 241109 20251030113304.0 978-3-031-73151-8