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FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
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publishDateSort 2026
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spellingShingle FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems
title_auth FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems
title_full FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems
title_fullStr FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems
title_full_unstemmed FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems
title_short FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems
title_sort fraudfusion: a multi-modal ensemble framework for anomaly-based fraud detection in retail pos systems
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11357914