Explainable deep learning for rainfall prediction: A CNN-XGBoost hybrid approach in the northern region of Bangladesh

<p dir="ltr">Accurate precipitation forecasting is crucial for evaluating various hydrological processes. This research explores the application of deep learning models for rainfall prediction in the northern region of Bangladesh, focusing on the comparative performance of six models...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Md Safayet Islam (23073187) (author)
مؤلفون آخرون:	Md Shafiuzzaman (23073190) (author), Golam Mahmud (23073193) (author), Nabila Nowshin (23073196) (author), Parisa Reza (23073199) (author), Jahid Hasan (4356820) (author), Md. Faysal Ahamed (21842396) (author), Md Nahiduzzaman (9092546) (author), Mohamed Arselene Ayari (16869978) (author), Amith Khandakar (14151981) (author)
منشور في:	2025
الموضوعات:	Environmental sciences Ecological applications Environmental management Information and computing sciences Artificial intelligence Data management and data science Rainfall Prediction Hybrid Deep Learning Models CNN-XGB Explainable AI in Hydrology
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Explainable deep learning for rainfall prediction: A CNN-XGBoost hybrid approach in the northern region of Bangladesh

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