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October 10, 2025International Scientific Journal of Engineering and Management

An Analytical Study on AI and Machine Learning Techniques for Financial Fraud Detection

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Authors

DJD. Chaya JagtapVJVijay S. Jadhav

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Overview

Analysis reveals enhanced detection accuracy with deep learning in financial transactions, suggesting improved fraud prevention methods.

Key Points

  • Deep learning approaches significantly enhance detection performance for financial fraud.
  • Findings indicate that ensemble models improve detection accuracy and adaptability in financial transactions.
  • Methods like supervised and unsupervised learning critically impact the effectiveness of fraud detection models.
  • This research evaluates various models using performance metrics, indicating which are most effective for real-time applications.

Cite This Study

Jagtap et al. (2025) studied this question.

synapsesocial.com/papers/68e865117ef2f04ca37e4ebchttps://doi.org/10.55041/isjem05061
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Financial Fraud Detection with AI: A Machine Learning-Based Approach for Securing Digital Transactions2025 · 3 citations
  2. 2MACHINE LEARNING APPROACHES FOR FRAUD DETECTION IN FINANCIAL NETWORKS2026
  3. 3Adversarial Machine Learning for Robust Fraud Detection in High-Frequency Financial Transactions2025
  4. 4FRAUD DETECTION AND PREVENTION IN FINANCIAL INSTITUTIONS2024
  5. 5Implementing machine learning algorithms to detect and prevent financial fraud in real-time2024 · 29 citations