From leaf to blend: CNN-enhanced multi-source feature fusion enables threshold-driven style control in digital tobacco formulation

This study establishes a computational framework for predictive style modeling in tobacco formulation design, addressing the critical disconnect between empirical approaches and blended system complexity. Here…

​This study establishes a computational framework for predictive style modeling in tobacco formulation design, addressing the critical disconnect between empirical approaches and blended system complexity. Here… Read More