Artificial neural network approach towards the separation of ethylparaben and diclofenac using pseudo-emulsion hollow fiber strip dispersion technique

Separation of methylparaben from aqueous source stream by pseudo-emulsion hollow fiber membrane strip dispersion technique: Optimization of process parameters using Grey-Taguchi method

(2021) Rahulkumar Shirasangi et al.   Chemical Engineering and Processing-Process Intensification

Comparative studies on the separation of endocrine disrupting compounds from aquatic environment by emulsion liquid membrane and hollow fiber supported liquid membrane

(2021) Himanshu P. Kohli et al.   International Journal of Chemical Reactor Engineering

Statistical modeling and optimization of itaconic acid reactive extraction using response surface methodology (RSM) and artificial neural network (ANN)

(2021) Suchith Chellapan et al.   Chemical Data Collections

Evaluation of material properties using planetary ball milling for modeling the change of particle size distribution in a gas-solid fluidized bed using a hybrid artificial neural network-genetic algorithm approach

(2020) Amir Abbas Kazemzadeh Farizhandi et al.   CHEMICAL ENGINEERING SCIENCE

Evaluating the performance of a sequencing batch reactor for sanitary wastewater treatment using artificial neural network

(2020) Hamid Yazdani et al.   Environmental Progress & Sustainable Energy

Innovative artificial neural network approach for integrated biogas – wastewater treatment system modelling: Effect of plant operating parameters on process intensification

(2020) P. Sakiewicz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Separation of Diclofenac using pseudo-emulsion hollow fiber membrane: Optimization by Box-Behnken response surface design

(2019) Himanshu P. Kohli et al.   Journal of Water Process Engineering

Modelling of adsorption in rotating packed bed using artificial neural networks (ANN)

(2016) Weiwei Li et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Application of pseudo-emulsion-based hollow fiber strip dispersion for the extraction of p-nitrophenol from aqueous solutions

(2016) Gedela Ashok Kumar Naidu et al.   ENVIRONMENTAL TECHNOLOGY

Occurrence, fate and behavior of parabens in aquatic environments: A review

(2015) Camille Haman et al.   WATER RESEARCH

Fate of diclofenac in municipal wastewater treatment plant — A review

(2014) Niina Vieno et al.   ENVIRONMENT INTERNATIONAL

Computational consideration on advanced oxidation degradation of phenolic preservative, methylparaben, in water: mechanisms, kinetics, and toxicity assessments

(2014) Yanpeng Gao et al.   JOURNAL OF HAZARDOUS MATERIALS

Performance study of hollow fiber supported liquid membrane system for the separation of bisphenol A from aqueous solutions

(2013) Smita Gupta et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Prediction of heat transfer and flow characteristics in helically coiled tubes using artificial neural networks

(2012) Reza Beigzadeh et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

The use of artificial neural networks (ANN) for modeling of adsorption of Cu(II) from industrial leachate by pumice

(2011) N. Gamze Turan et al.   CHEMICAL ENGINEERING JOURNAL

Possible endocrine disrupting effects of parabens and their metabolites

(2010) Julie Boberg et al.   REPRODUCTIVE TOXICOLOGY

A new approach for estimation of PVT properties of pure gases based on artificial neural network model

(2009) A. R. Moghadassi et al.   BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING