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PREDICTION OF PROCESS AND PRODUCT PARAMETERS IN DEEP BED DRYING OF ROUGH RICE USING ARTIFICIAL NEURAL NETWORK
PREDICTION OF PROCESS AND PRODUCT PARAMETERS IN DEEP BED DRYING OF ROUGH RICE USING ARTIFICIAL NEURAL NETWORK
Fatemeh Ghahremanzadeh
Seminar : Order and Frustration in the Hubbard Model
P dynamics in soils receiving chemically treated manure
Determining resistance coefficient for series 60 vessels using numerical and experimental modelling
Graduated Master Students
Biography 44
Innovative silk fibroin-flax nanocomposite hydrogels: A drug-loaded system for potential wound dressing applications
Taheri,Hamed
Dietary protein level and corn processing method: Intake, digestibility, and feeding behavior of lactating dairy cows?
Dietary protein level and corn processing method: Intake, digestibility, and feeding behavior of lactating dairy cows?
Synthesis and characterization of poly(amide-imide)s bearing a S-valine moiety in molten ionic liquid.
Research Interests
Science News : Nut Consumption Linked to Reduced Death Rate, Study Suggests