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Author

Arisman Adnan

2 papers indexed here

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Conference Sep 2026

Daily River Discharge Prediction Using LSTM with Satellite Data: A Case Study of the Upper Kampar Watershed, Indonesia

River discharge forecasting is crucial for flood mitigation and water resources management in tropical watersheds with scarce observational data. In this study, the multivariate LSTM model is developed to predict the daily river discharge in the Upper Kampar Watershed, Indonesia by considering the CHIRPS precipitation,...

R. Salambue, Sharin Hazlin Binti Huspi, S. Z. Mohd Hashim et al. · 0 citations
Review Open access Jul 2026

PCA-Enhanced Machine Learning Framework for Child Stunting Prediction Using Household and Socioeconomic Factors

Empirical evidence is provided that integrating PCA with machine-learning algorithms offers a reproducible and computationally efficient framework for supporting evidence-based nutritional surveillance and advancing data-driven childhood stunting prediction.

Ria Indah Sari, Arisman Adnan, Syamsudhuha Syamsudhuha · 0 citations

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