*Result*: Study Data from Bangladesh University of Engineering and Technology Update Knowledge of Machine Learning (Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation...).

*The article focuses on research conducted at the Bangladesh University of Engineering and Technology regarding the use of advanced oxidation processes (AOPs) for wastewater treatment, specifically targeting the degradation of antibiotics ciprofloxacin (CIP) and metronidazole (MNZ). The study evaluated various combinations of persulfate (PS) and peroxide (PO) concentrations, finding that a 2 mM PS concentration achieved over 97% degradation of both antibiotics, with a complete removal observed under specific conditions. Machine learning models, including artificial neural networks (ANN) and random forest (RF), were utilized to predict the removal efficiency and final pH, with ANN and RF showing superior performance compared to traditional statistical methods. The research highlights the need for further studies to enhance predictive accuracy using larger datasets and real wastewater samples. [Extracted from the article]

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