An Improved Variational Autoencoder Generative Adversarial Network with Convolutional Neural Network for Fraud Financial Transaction Detection-Reference-Cited by-同舟云学术

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An Improved Variational Autoencoder Generative Adversarial Network with Convolutional Neural Network for Fraud Financial Transaction Detection

Published:2024-05-17 Issue: Volume:4 Page:1-4
ISSN:
Container-title:2024 Second International Conference on Data Science and Information System (ICDSIS)
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Author:

Gudivaka Basava Ramanjaneyulu¹,Almusawi Muntather²,Priyanka M S³,Dhanda Madhava Rao⁴,Thanjaivadivel M⁵

Affiliation:

1. Raas Infotek,Delaware,USA

2. The Islamic University,College of Technical Engineering,Department of Computers Techniques Engineering,Najaf,Iraq

3. Nitte Meenakshi Institute of Technology,Department of AI-ML,Bengaluru,India

4. Vignana Bharathi Institute of Technology,Department of CSE(AI&ML),Ghatkesar,India

5. REVA University,Department of Computing & Information Technology,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593798/10594006/10594271.pdf?arnumber=10594271

Reference15 articles.

1. An advanced machine learning algorithm for fraud financial transaction detection;Vuppula;Journal For Innovative Development in Pharmaceutical and Technical Science (JIDPTS),2021

2. An X-band conformal FSS with enhanced shielding effectiveness

3. A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism

4. Exploratory analysis of credit card fraud detection using machine learning techniques

5. Online Payment Fraud Detection Model Using Machine Learning Techniques

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