Machine learning has proven to be a powerful technique during the past decades. Artificial
neural network (ANN), as one of the most popular machine learning algorithms, has been …

The use of pillared interlayered clays (PILCs) as heterogenous catalysts in wastewater
treatment technologies, particularly advanced oxidation processes (AOPs), is gaining …

Accurately predicting the water quality of treated water from a water treatment plant (WWTP)
based on the obtained operating database is of great significance. However, it is difficult for …

In the present work, we synthesized successfully novel magnetic montmorillonite composite
γ-Fe 2 O 3@ Mt by a facile co-precipitation method of Fe 2+ and Fe 3+ in alkaline solution in …

The presence of pharmaceutically active compounds in aquatic bodies is a global concern,
and suitable treatment technologies are required. In this study, the efficacy of photocatalytic …

To improve the cycle between Fe 3+ and Fe 2+ in persulfate (PS) Fenton-like system, sulfite
(Na 2 SO 3) was used as the iron complexing agent to enhance the degradation of …

A heterogeneous combination of different materials is a viable way to prompt persulfate (PS)
activation in the removal of organic compounds in soil. In this study, the hybrids of Fe 0, FeS …

Herein, machine learning approaches were employed to predict the kinetic constant of the
organic pollutant degradation process in a peroxymonosulfate environment with a typical Fe …

A soft-sensing methodology applicable to batch processes operated under changeable
initial conditions is presented. These cases appear when the raw materials specifications …

The treatment of pharmaceutical industrial wastewaters, containing the antibiotic amoxicillin
(218.29 mg L− 1), via some advanced oxidation processes (POA), was studied. The H2O2 …