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 …
Application of machine learning-based approach in food drying: Opportunities and challenges
Application of machine learning (ML)-based algorithms in food drying is an exciting and
innovative approach to advance the drying technology. In order to appropriately develop this …
innovative approach to advance the drying technology. In order to appropriately develop this …
Synergetic effect of N/O functional groups and microstructures of activated carbon on supercapacitor performance by machine learning
Heteroatoms-rich activated carbon (AC) can effectively promote the pseudo-capacitance of
AC-based electrodes used in supercapacitors. The well-known microstructural properties of …
AC-based electrodes used in supercapacitors. The well-known microstructural properties of …
Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques
Pyrolysis, as a thermochemical conversion of biomass, is a superior biofuel production
procedure. The determining procedure for the optimal operational parameters, biomass …
procedure. The determining procedure for the optimal operational parameters, biomass …
Machine learning approaches to rediscovery and optimization of hydrogen storage on porous bio-derived carbon
Three Machine learning (ML) models were constructed and tested to model the hydrogen
adsorption of activated carbons (ACs). Although many efforts have been accomplished, the …
adsorption of activated carbons (ACs). Although many efforts have been accomplished, the …
A comparative study of statistical and soft computing techniques for reliability prediction of automotive manufacturing
H Soltanali, A Rohani, MH Abbaspour-Fard… - Applied Soft …, 2021 - Elsevier
Reliability and safety analyses are the most important activities for reducing risk of failure
events and upgrading availability of manufacturing industries. The traditional statistical …
events and upgrading availability of manufacturing industries. The traditional statistical …
Smart sensing, communication, and control in perishable food supply chain
Transportation and distribution (T8D) of fresh food products is a substantial and increasing
part of the economic activities throughout the world. Unfortunately, fresh food T8D not only …
part of the economic activities throughout the world. Unfortunately, fresh food T8D not only …
Tea polyphenol-mediated network proteins modulate the NaOH-heat induced egg white protein gelling properties
Z Wang, N Xiao, S Guo, X Tian, M Ai - Food Hydrocolloids, 2024 - Elsevier
The crosslinked network aggregation of proteins regulates the formation and property
maintenance of gels. In this study, we analyzed the influence of tea polyphenol (TP) …
maintenance of gels. In this study, we analyzed the influence of tea polyphenol (TP) …
Investigation on relaxation properties of maize kernels based on the multicomponent structure
Z Zheng, L Ren, H Fu, P Yang, L Lv, J Xu, D Yang - Powder Technology, 2023 - Elsevier
The damage to maize (Zea mays) during processing is closely related to its viscoelastic
properties, but the viscoelastic properties of the components of the maize kernel are …
properties, but the viscoelastic properties of the components of the maize kernel are …
A novel machine learning–based approach for characterising the micromechanical properties of food material during drying
Plant-based food materials (PBFMs) such as fruits and vegetables contain various irregular
cellular compartments. Like other engineering materials, the characterisation of …
cellular compartments. Like other engineering materials, the characterisation of …