Author

Md. Najmul Mowla

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Open access Jul 2026

Explainable hourly global solar radiation forecasting using a CNN-BiLSTM model with temperature scaled softmax attention.

A lightweight, explainable hybrid deep learning architecture, CNN-BiLSTM-STAM, which integrates convolutional layers for inter-feature pattern extraction, bidirectional long short-term memory networks for temporal dependency learning, and a softmax temperature attention mechanism (STAM) with a learnable temperature to...

Md. Najmul Mowla, N. F. Ozdil, Khaled M. Rabie et al. · Scientific Reports · 0 citations

Aug 2026

Explainable hybrid deep learning for monthly precipitable water vapor forecasting over Türkiye

An explainable hybrid deep learning framework in which each module targets a specific forecasting challenge provides an accurate, interpretable, and scalable approach for monthly PWV forecasting over Türkiye.

Md. Najmul Mowla, T. Durhasan, M. Bilgili et al. · Meteorology and atmospheric... · 0 citations

Open access Jul 2026

RIS assisted energy aware multi agent adaptive SAC for UAV aided IoT network path planning and obstacle avoidance.

This study introduces a multi agent soft actor-critic (MASAC) framework for UAV path planning and energy aware coordination in a fixed RIS assisted IoT grid, and offers a simulation level benchmark for energy efficient UAV navigation in RIS assisted IoT environments.

Md. Najmul Mowla, D. Asadi, Khaled M. Rabie et al. · Scientific Reports · 0 citations