Targeted adsorbent preparation under data-limited conditions: a transfer learning-driven inverse optimization framework.
Despite extensive studies on the use of drinking water treatment sludge (DWS) for heavy metal adsorption, its application remains constrained by limited data availability in metal-specific DWS adsorption datasets and the lack of operating parameter determination under target concentration requirements. To address these...