Jose et al., 2024

technology
Author

Jose et al.

Year of Publication

2024

Conference

International Conference on Communication and Signal Processing (ICCSP)

Publisher

IEEE (Melmaruvathur, India)

Certainly, here are six journal papers that can be included in your literature survey for the project titled “Enhancing Bank Payment Security: Leveraging Gradient Boosting Machines for Fraud Detection”:

[…]

Certainly! Here’s a simplified explanation of the mathematical calculation involved in the Gradient Boosting Machine (GBM) algorithm, specifically focusing on the regression case.

[…]

Without access to the specific evaluation metrics and results of the project “Enhancing Bank Payment Security: Leveraging Gradient Boosting Machines for Fraud Detection,” I can provide a general outline of what would typically be included in the evaluation and results section of such a project.1

Large sections of this paper describe what an original research report should include, rather than describing the research itself. These sections were likely generated by an LLM as well.

This paper was flagged on PubPeer by an anonymous user (alias Nerita vitiensis). According to N. vitiensis, the six articles provided in the literature review do not appear to exist.

References

1Jose NN, Arigela AK, Vivekanandan G, Sethuraman R, Naganathan SBT, Venu N. “Optimizing Payment Transaction Security: Utilizing Gradient Boosting Machines for Fraud Detection.” In: 2024 10th International Conference on Communication and Signal Processing (ICCSP). IEEE; 2024:720-725. doi:10.1109/ICCSP60870.2024.10543774