Systematic analysis of capacitive deionization using stepwise operating data and multiple machine learning models: the effect of data attributes on process estimation

Exploring decisive operating factors for micropollutants fate in ultraviolet-based advanced oxidation processes using the integrated clustering-classification model

Remediation of acidic effluents from Uranium-Contaminated soil using coffee Residue Biochar: A Combined experimental and Machine learning approach

Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models

Robust deep learning model combined with missing input data estimation: Application in a 1000 m3/day high-salinity SWRO plant