Enhancement of food processes by ultrasound: a review

Y Tao, DW Sun - Critical reviews in food science and nutrition, 2015 - Taylor & Francis
In food processing, the applications of ultrasound can be divided into two categories, namely
replacing traditional technologies and assisting traditional technologies. In the latter case …

Artificial neural networks: an efficient tool for modelling and optimization of biofuel production (a mini review)

Y Sewsynker-Sukai, F Faloye… - Biotechnology & …, 2017 - Taylor & Francis
In view of the looming energy crisis as a result of depleting fossil fuel resources and
environmental concerns from greenhouse gas emissions, the need for sustainable energy …

Optimization and modeling of methyl orange adsorption onto polyaniline nano-adsorbent through response surface methodology and differential evolution embedded …

RR Karri, M Tanzifi, MT Yaraki, JN Sahu - Journal of environmental …, 2018 - Elsevier
Presence of pigments and dyes in water bodies are growing tremendously and pose as toxic
materials and have severe health effects on human and aquatic creatures. Treatments …

Modeling and optimization by particle swarm embedded neural network for adsorption of zinc (II) by palm kernel shell based activated carbon from aqueous …

RR Karri, JN Sahu - Journal of environmental management, 2018 - Elsevier
Zn (II) is one the common pollutant among heavy metals found in industrial effluents.
Removal of pollutant from industrial effluents can be accomplished by various techniques …

[HTML][HTML] Ultrasound-assisted extraction of phenolics from wine lees: Modeling, optimization and stability of extracts during storage

Y Tao, D Wu, QA Zhang, DW Sun - Ultrasonics sonochemistry, 2014 - Elsevier
The ultrasound-assisted extraction process of phenolics including anthocyanins from wine
lees was modeled and optimized in this research. An ultrasound bath system with the …

Optimization of microwave-assisted extraction of total polyphenolic compounds from chokeberries by response surface methodology and artificial neural network

VM Simić, KM Rajković, SS Stojičević… - Separation and …, 2016 - Elsevier
Response surface methodology (RSM) and artificial neural network (ANN) were used for
modeling and optimizing microwave-assisted extraction (MAE) of total polyphenolic content …

[HTML][HTML] Comparison of response surface methodology (RSM) and artificial neural networks (ANN) towards efficient extraction of artemisinin from Artemisia annua

JL Pilkington, C Preston, RL Gomes - Industrial crops and products, 2014 - Elsevier
The solid-liquid extraction of Artemisia annua remains an important source of artemisinin,
the precursor molecule to the most potent anti-malarial drugs available. Industrial …

Predictive capability evaluation of RSM, ANFIS and ANN: a case of reduction of high free fatty acid of palm kernel oil via esterification process

E Betiku, VO Odude, NB Ishola, A Bamimore… - Energy conversion and …, 2016 - Elsevier
Response surface methodology (RSM), adaptive neuro-fuzzy inference system (ANFIS) and
artificial neural network (ANN) were tested in the modeling of acid pretreatment of palm …

Linear and nonlinear modeling approaches for urban air quality prediction

KP Singh, S Gupta, A Kumar, SP Shukla - Science of the Total Environment, 2012 - Elsevier
In this study, linear and nonlinear modeling was performed to predict the urban air quality of
the Lucknow city (India). Partial least squares regression (PLSR), multivariate polynomial …

Removal of dye using peroxidase-immobilized Buckypaper/polyvinyl alcohol membrane in a multi-stage filtration column via RSM and ANFIS

YJ Lau, RR Karri, NM Mubarak, SY Lau… - … science and pollution …, 2020 - Springer
The feasibility and performance of Jicama peroxidase (JP) immobilized
Buckypaper/polyvinyl alcohol (BP/PVA) membrane for methylene blue (MB) dye removal …