z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom