Machine learning aided RSM approach to parameter optimization for Rhodamine B removal using sawdust

Hybrid Isotherm–Machine Learning Modeling of CO₂ Adsorption in Modulator-Tuned MIL-101(Cr)

Machine learning for optimizing Reactive Red 120 biosorption onto cross-linked gelatin/alginate-TTAB-montmorillonite composite.

Integrated RSM and machine learning modelling of Pb(II) adsorption using bio-engineered walnut shells

Peanut Husk as an Efficient Biosorbent for Methylene Blue Removal from Wastewater: Kinetic, Isotherm, and Exploratory Artificial Neural Network Analysis

This study explores the adsorption performance of clean peanut husk (CPH) as a sustainable and low-cost biosorbent for removing methylene blue (MB) from aqueous solutions. Batch experiments investigated the effects of dye concentration, biosorbent dosage, pH, particle size, and temperature. FT-IR analysis confirmed the...

Box–Behnken optimization and linear–nonlinear regression analysis of cadmium removal from textile wastewater using hydroxyapatite nanorods

BASIC BLUE 41 DYESTUFF ADSORPTION ONTO PURIFIED SEPIOLITE: ISOTHERMS, KINETIC-THERMODYNAMIC STUDIES AND ERROR ANALYSIS

Sepiolite, which was found to have a dolomitic structure by XRD analysis, was utilized as an adsorbent to remove the cationic Basic Blue 41(BB41) mono azo dye from wastewater. The physicochemical parameters of purified sepiolite in accordance with the eluate criteria were investigated using pHpzc, XRF, FTIR, SEM-EDS an...