Application of artificial intelligence in food industry—a guideline
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …
past few decades due to the rising of food demands in line with the increasing of the world …
Machine learning‐based modeling in food processing applications: State of the art
Food processing is a complex, multifaceted problem that requires substantial human
interaction to optimize the various process parameters to minimize energy consumption and …
interaction to optimize the various process parameters to minimize energy consumption and …
[HTML][HTML] Comparative analysis of RSM, ANN and ANFIS and the mechanistic modeling in eriochrome black-T dye adsorption using modified clay
The application of artificial neural network (ANN), response surface methodology (RSM),
and adaptive neuro-fuzzy inference system (ANFIS) in modeling the uptake of Eriochrome …
and adaptive neuro-fuzzy inference system (ANFIS) in modeling the uptake of Eriochrome …
[HTML][HTML] Decolourization of bromocresol green dye solution by acid functionalized rice husk: artificial intelligence modeling, GA optimization, and adsorption studies
Novel application and comparison of intelligent models such as adaptive neuro-fuzzy
inference systems (ANFIS), artificial neural network (ANN), and response surface …
inference systems (ANFIS), artificial neural network (ANN), and response surface …
Air pollution prediction using semi-experimental regression model and Adaptive Neuro-Fuzzy Inference System
M Zeinalnezhad, AG Chofreh, FA Goni… - Journal of Cleaner …, 2020 - Elsevier
Lifestyle development and increasing urbanisation and consumption of fossil fuels,
monitoring and controlling air pollution have become more important. This study has used …
monitoring and controlling air pollution have become more important. This study has used …
The application of artificial intelligence and big data in the food industry
Over the past few decades, the food industry has undergone revolutionary changes due to
the impacts of globalization, technological advancements, and ever-evolving consumer …
the impacts of globalization, technological advancements, and ever-evolving consumer …
[HTML][HTML] Artificial neural networks (ANNs) and multiple linear regression (MLR) for prediction of moisture content for coated pineapple cubes
J Meerasri, R Sothornvit - Case Studies in Thermal Engineering, 2022 - Elsevier
The effects were investigated of edible coating and drying temperature (50, 65 and 80° C)
on the properties of dehydrated pineapple cubes. A comparative study was performed using …
on the properties of dehydrated pineapple cubes. A comparative study was performed using …
Multi-characteristic optimization and modeling analysis of electrocoagulation treatment of abattoir wastewater using iron electrode pairs
Multi-characteristic optimization and modeling analysis of electrocoagulation (EC) treatment
of abattoir wastewater (AWW) using iron‑iron electrodes are reported. Response Surface …
of abattoir wastewater (AWW) using iron‑iron electrodes are reported. Response Surface …
ANFIS, ANN, and RSM modeling of moisture content reduction of cocoyam slices
The capability of response surface methodology (RSM), artificial neural network (ANN), and
adaptive neuro‐fuzzy inference systems (ANFIS) in modeling and predicting moisture …
adaptive neuro‐fuzzy inference systems (ANFIS) in modeling and predicting moisture …
Drying characteristics of yam slices (Dioscorea rotundata) in a convective hot air dryer: Application of ANFIS in the prediction of drying kinetics
JO Ojediran, CE Okonkwo, AJ Adeyi, O Adeyi… - Heliyon, 2020 - cell.com
Abstract This study applied Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the
moisture ratio (MR) during the drying process of yam slices (Dioscorea rotundata) in a hot air …
moisture ratio (MR) during the drying process of yam slices (Dioscorea rotundata) in a hot air …