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@article{178536,
        author = {Mr. Khadir Kumar.N and Ramesh N and Muralidharan P and Sarathi M and Yuvaraj},
        title = {Upi Fraud Detection Using Particle Swarm Optimization Algorithm Based on The Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3879-3886},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178536},
        abstract = {In the last decade, there have been several instances of fraud in the credit process; the fraud issues automatic early detection of the process. The drawback is customer dissatisfaction, increased customer service inquiries, and potentially loss of the process. We proposed method is Support Vector Machine – Decision Tree (SVM-DT) for classification and fraud detection in the process. The fraud detection of the process is more accurate of the result using Machine Learning (ML), and the analysis of the real-time dataset is used for Deep Learning (DL), a method based on Artificial Intelligence technology. The presented method is used to maintain the standard level of the reliability process. The proposed method is a classification more dataset in a particular dataset, and more accurate level of performance. The presented techniques are a breakthrough in prediction and early fraud detection prevention; it's one of the most advanced techniques in the process. Particle swarm optimization algorithm (PSO) used for the is a narrow channel of the best solution in the process, and individual personal data is enhanced a secure level, and more efficient in the stability of the process is a feature selection of the dataset. The evaluated method reduces the environment impact and time-consuming nature of the process, and the detect of misclassification and changing channels of the process is solved for the techniques. This paper's research will provide a reference for improving credit card fraud detection accuracy and efficiency.},
        keywords = {Machine Learning, Deep Learning, SVM-DT, and POS.},
        month = {May},
        }