Abstract: Controlling nonlinear heat integrated distillation column (HIDiC) systems is notably challenging due to their complex dynamics and inherent nonlinearities. This study examines the ...

Abstract: Deep learning models are widely used in data-driven applications due to their high predictive performance, but their lack of interpretability limits their applicability in domains requiring ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

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