Author

M. Fuad

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#machine learning Preprint Oct 2026

A Physics-Informed Hybrid Forward-Inverse Machine Learning Framework for High-Dimensional Sparse Recipe Reconstruction

High-dimensional sparse recipe formulation in process industries involves nonlinear association of various covariates, bounded by sparsity constraints and multi-criteria tolerances. Traditional physics-based classical methods (such as Kubelka-Munk) fail to generate sparse candidate recipes properly due to their simplif...

M. Fuad, Md. Istiak Adnan, Ridwan Al Aziz · 0 citations

Open access Aug 2026

Tactical vs. strategic: An adaptable framework for horizon-dependent dengue forecasting using data-driven approaches with serotype and climate covariates in Bangladesh

Results show that dengue forecasting algorithms should be selected according to the intended decision objective and evaluated using task-relevant protocols, and show that MLR showed competitive performance in regime-wise evaluation.

M. Fuad, Maha Milki, Ridwan Al Aziz · PLoS ONE · 0 citations