Cargando…
Machine learning approach in predicting GlutoPeak test parameters from image data with AutoML and transfer learning
This study introduces a novel machine learning methodology for predicting GlutoPeak test parameters from image data, leveraging AutoKeras and transfer learning. The GlutoPeak test is a tool used in the baking industry to evaluate the properties of flour, based on its gluten strength and elasticity....
Autores principales: | Murai, Takehiro, Inoue, Yoshitaka, Nambirige, Assey, Annor, George A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543207/ https://www.ncbi.nlm.nih.gov/pubmed/37790976 http://dx.doi.org/10.1016/j.heliyon.2023.e20522 |
Ejemplares similares
-
Genetic Basis of Gluten Aggregation Properties in Wheat (Triticum aestivum L.) Dissected by QTL Mapping of GlutoPeak Parameters
por: Zhou, Zhengfu, et al.
Publicado: (2021) -
A Rapid Detection of Whole Wheat Gluten Quality by a Novel Chemometric Technique—GlutoPeak
por: Turksoy, Secil, et al.
Publicado: (2022) -
Uncovering the genetic basis of gluten aggregation parameters by genome-wide association analysis in wheat (Triticum aestivum L.) using GlutoPeak
por: Wu, Zhengqing, et al.
Publicado: (2022) -
AutoML for Fast Simulation
por: Nascimento Ferreira, Poliana
Publicado: (2021) -
Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems
por: Barreiro, Enrique, et al.
Publicado: (2018)