Results 131 to 140 of about 60,646 (293)

Iowa Liquor Quarterly, August 2003 [PDF]

open access: yes, 2003
Quarterly publication produced by Iowa Alcholic Beverages Division, Department of ...

core  

Food-bridging: a new network construction to unveil the principles of cooking

open access: yes, 2017
In this manuscript we propose, analyse, and discuss a possible new principle behind traditional cuisine: the Food-bridging hypothesis and its comparison with the food-pairing hypothesis using the same dataset and graphical models employed in the food ...
Diaz-Guilera, Albert   +4 more
core   +1 more source

DRYING KINETICS OF APRICOTS KERNELS

open access: yesJournal of Engineering Science (Chişinău), 2018
In this paper, we proposed convective and combined methods for drying wet kernels of apricot stones. Kernels of apricot stones are a very ambiguous food product, during their heat treatment in them occurs not only the loss of mass due to the removal of moisture, but also the loss of mass due to biochemical changes occurring at high temperatures. It was
openaire   +3 more sources

Calibrating Large Language Models Using Their Generations Only [PDF]

open access: yesarXiv
As large language models (LLMs) are increasingly deployed in user-facing applications, building trust and maintaining safety by accurately quantifying a model's confidence in its prediction becomes even more important. However, finding effective ways to calibrate LLMs - especially when the only interface to the models is their generated text - remains ...
arxiv  

Organic substances against Monilia laxa on apricot – in-vitro and on-farm experiments [PDF]

open access: yes, 2019
Natural substances against Monilia laxa were onfarm and in-vitro tested. According to on-farm tests, some products reached interesting efficacies.
Christen, Danilo   +3 more
core  

Fruit Classification System with Deep Learning and Neural Architecture Search [PDF]

open access: yesarXiv
The fruit identification process involves analyzing and categorizing different types of fruits based on their visual characteristics. This activity can be achieved using a range of methodologies, encompassing manual examination, conventional computer vision methodologies, and more sophisticated methodologies employing machine learning and deep learning.
arxiv  

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