Blockchain Data Structures and Integrated Adaptive Learning: Features and Futures

Puthal, D; Yeun, CY; Damiani, E; Mishra, AK; Yelamarthi, K; Pradhan, B

Blockchain Data Structures and Integrated Adaptive Learning: Features and Futures

Puthal, D

Yeun, CY Damiani, E Mishra, AK Yelamarthi, K Pradhan, B

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Consumer Electronics Magazine, 2024, 13, (2), pp. 72-80
Issue Date:: 2024-03-01

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Field	Value	Language
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X
dc.contributor.author	Yeun, CY
dc.contributor.author	Damiani, E
dc.contributor.author	Mishra, AK
dc.contributor.author	Yelamarthi, K
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.date.accessioned	2024-02-20T23:36:29Z
dc.date.available	2024-02-20T23:36:29Z
dc.date.issued	2024-03-01
dc.identifier.citation	IEEE Consumer Electronics Magazine, 2024, 13, (2), pp. 72-80
dc.identifier.issn	2162-2248
dc.identifier.issn	2162-2256
dc.identifier.uri	http://hdl.handle.net/10453/175777
dc.description.abstract	Artificial intelligence (AI) is gaining lots of interest across multiple domains, such as consumer electronics, the Internet of Things (IoT), blockchain, edge computing, remote sensing, etc. Bringing adaptiveness to AI-based learning makes the overall system autonomous and robust. In parallel, Blockchain is one of the vital solutions of current age computing to make the end-to-end process decentralize. It is unavoidable to integrate AI with Blockchain when the system designing focuses on decentralized approaches, such as decentralized storage, security, and processing. Blockchain is the only solution in the current age to make the end-to-end system decentralized. This article gives a close view of Blockchain properties, data structures, IoT use cases, AI integration, and the potential future aspects.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Consumer Electronics Magazine
dc.relation.isbasedon	10.1109/MCE.2023.3268827
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Blockchain Data Structures and Integrated Adaptive Learning: Features and Futures
dc.type	Journal Article
utslib.citation.volume	13
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
dc.date.updated	2024-02-20T23:36:28Z
pubs.issue	2
pubs.publication-status	Accepted
pubs.volume	13
utslib.citation.issue	2

Abstract:

Artificial intelligence (AI) is gaining lots of interest across multiple domains, such as consumer electronics, the Internet of Things (IoT), blockchain, edge computing, remote sensing, etc. Bringing adaptiveness to AI-based learning makes the overall system autonomous and robust. In parallel, Blockchain is one of the vital solutions of current age computing to make the end-to-end process decentralize. It is unavoidable to integrate AI with Blockchain when the system designing focuses on decentralized approaches, such as decentralized storage, security, and processing. Blockchain is the only solution in the current age to make the end-to-end system decentralized. This article gives a close view of Blockchain properties, data structures, IoT use cases, AI integration, and the potential future aspects.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/175777