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Machine Learning and ELMHydrological Forecasting Using AIAdsorption and biosorption for pollutant removal

Evaluating the Performance of Traditional Predictive Models Against Advanced Machine Learning Techniques for the Removal of Copper Using Low Cost Adsorbent

Nayeemuddin Mohammed, H. Mewada, Feroz Shaik

2026.3.14Process Integration and Optimization for Sustainability

DOI: 10.1007/s41660-026-00734-9

Abstract

Abstract is not available.

Citation format

MOHAMMED, Nayeemuddin; MEWADA, H.; SHAIK, Feroz. Evaluating the performance of traditional predictive models against advanced machine learning techniques for the removal of copper using low cost adsorbent. Process Integration and Optimization for Sustainability, 2026.