Work

Integration of RNN and CatBoost models in a tea-waste biochar filtration system for toxic organic pollutant removal efficiency prediction

Year: 2025

Type: article

Abstract: value of 0.960. Moreover, the fabrication of a portable column filtration device for the removal of coexisting harmful organic pollutants has been demonstrated. The results confirm that tea waste (TW)-derived biochar, coupled with advanced machine learning models, is a promising solution for real-time wastewater treatment.

Source: RSC Advances

DOI: 10.1039/d5ra01021g

Authors: Stuti Jha, Rama Gaur, Syed Shahabuddin, Vinay Vakharia, Mohammed E. Ali Mohsin

Institutions: Pandit Deendayal Energy University, King Faisal University

Language: English

Topic: Adsorption and biosorption for pollutant removal

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Responsible consumption and production

Open Access status: gold

Estimated APC paid: $1,042