Enhanced Credit Card Fraud Detection Using Deep Hybrid CLST Model

Enhanced Credit Card Fraud Detection Using Deep Hybrid CLST Model

The existing financial payment system has inherent credit card fraud problems that must be solved with strong and effective solutions. In this research, a combined deep learning model that incorporates a convolutional neural network (CNN), long-short-term memory (LSTM), and fully connected output la...

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Bibliographic Details
Main Authors: Madiha Jabeen, Shabana Ramzan, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Mathematics
Subjects:
credit card fraud
deep learning
machine learning
SMOTE
CNN
LSTM
Online Access:https://www.mdpi.com/2227-7390/13/12/1950
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