Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials.

The carbon content and N-doping displayed a positive trend with SA and MPV, but almost no correlation with TPV.

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A negative trend was noted for particle size, where smaller sizes correlated with higher property values, particularly between particle sizes of 74 and 150 μm.

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