Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence
Author(s) -
S. M. A. Rahman,
Hegazy Rezk,
Mohammad Ali Abdelkareem,
Md Enamul Hoque,
Tariq Mahbub,
Sheikh Khaleduzzaman Shah,
Ahmed M. Nassef
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2021.015048
Subject(s) - osmotic dehydration , thermal diffusivity , water content , moisture , dimensionless quantity , chemistry , sugar , dehydration , mass transfer , thermodynamics , materials science , analytical chemistry (journal) , chromatography , composite material , food science , geotechnical engineering , biochemistry , physics , engineering
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