Development of artificial neural networks software for arsenic adsorption from an aqueous environment
AK Maurya, M Nagamani, SW Kang, JT Yeom… - Environmental …, 2022 - Elsevier
Arsenic contamination is a global problem, as it affects the health of millions of people. For
this study, data-driven artificial neural network (ANN) software was developed to predict and …
this study, data-driven artificial neural network (ANN) software was developed to predict and …
Modeling and optimization of process parameters of biofilm reactor for wastewater treatment
AK Maurya, BS Reddy, J Theerthagiri… - Science of the Total …, 2021 - Elsevier
The efficiency of heavy metal in biofilm reactors depends on absorption process parameters,
and those relationships are complicated. This study explores artificial neural networks …
and those relationships are complicated. This study explores artificial neural networks …
Prediction of batch sorption of barium and strontium from saline water
BS Reddy, AK Maurya, VE Sathishkumar… - Environmental …, 2021 - Elsevier
Celestite and barite formation results in contamination of barium and strontium ions hinder
oilfield water purification. Conversion of bio-waste sorbent products deals with a viable …
oilfield water purification. Conversion of bio-waste sorbent products deals with a viable …
Artificial neural network model for extracting knowledge from the electro‐Fenton process for acid mine wastewater treatment
AK Maurya, PL Narayana, UMR Paturi… - CLEAN–Soil, Air … - Wiley Online Library
In this study, artificial neural networks (ANNs) were employed to analyze the complex
interactions between electro‐Fenton (EF) process variables (plate spacing, current intensity …
interactions between electro‐Fenton (EF) process variables (plate spacing, current intensity …