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Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models

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Published in:IET Blockchain
Format: Online Article RSS Article
Published: 2026
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container_title IET Blockchain
description
discipline_display Computer Science
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format Online Article
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institution FRELIP
journal_source_facet IET Blockchain
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models
title_auth Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models
title_full Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models
title_fullStr Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models
title_full_unstemmed Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models
title_short Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models
title_sort metaheuristic‐driven feature selection for blockchain fraud detection: a comparative study on machine and deep learning models
topic Computer Science
General
Computer Science
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/blc2.70029?af=R