Cargando…
Real-Time Automated Solubility Screening Method Using Deep Neural Networks with Handcrafted Features
Solubility measurements are essential in various research and industrial fields. With the automation of processes, the importance of automatic and real-time solubility measurements has increased. Although end-to-end learning methods are commonly used for classification tasks, the use of handcrafted...
Autores principales: | Jeon, Minwoo, Yu, Geunhyeok, Choi, Hyundo, Kim, Gahee, Hwang, Hyoseok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302423/ https://www.ncbi.nlm.nih.gov/pubmed/37420693 http://dx.doi.org/10.3390/s23125525 |
Ejemplares similares
-
Deep Learning and Handcrafted Features for Virus Image Classification
por: Nanni, Loris, et al.
Publicado: (2020) -
On the Efficacy of Handcrafted and Deep Features for Seed Image Classification
por: Loddo, Andrea, et al.
Publicado: (2021) -
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition
por: Bento, Nuno, et al.
Publicado: (2022) -
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features
por: Côté-Allard, Ulysse, et al.
Publicado: (2020) -
Early prediction of sepsis using double fusion of deep features and handcrafted features
por: Duan, Yongrui, et al.
Publicado: (2023)