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Author

Pakrigna Long

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Conference Aug 2026

Enhancing Power Consumption Prediction Using Dropout-Regularized Deep Learning

Accurate power consumption forecasting is important for energy management, smart grid operation, and efficient electricity utilization. Deep learning models can capture nonlinear relationships and temporal patterns in power consumption data, but their performance may be affected by overfitting. This study presents a co...

Pakrigna Long, M. K. Abdul Kadir, K. Vijyakumar · 0 citations
Open access Jul 2026

Analysis on Machine Learning Models for Imbalanced Data Problem in Payment Fraud Detection

Which predictive models work best in predicting the anomalies in the payment transaction and their ability to handle complex, non-linear relationships within the data and its effectiveness in generalizing across different scenarios and conditions are investigated.

Siuphing Seun, Sokkhey Phauk, Kimlong Ngin et al. · 0 citations

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