Cargando…
Development of Application Specific Intelligent Framework for the Optimized Selection of Industrial Grade Magnetic Material
This article attempts to introduce a simple and robust way for the classification of soft magnetic material by using multivariate statistics. The six magnetic properties including coercive magnetic field, relative magnetic permeability, electrical resistivity magnetic inductions, i.e., remanence and...
Autores principales: | Saleem, Muhammad, Rizwan, Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707136/ https://www.ncbi.nlm.nih.gov/pubmed/34960877 http://dx.doi.org/10.3390/polym13244328 |
Ejemplares similares
-
Reinforcement Learning-Aided Edge Intelligence Framework for Delay-Sensitive Industrial Applications
por: Zubair Islam, Muhammad, et al.
Publicado: (2022) -
Metal-Organic Framework-Based Engineered Materials—Fundamentals and Applications
por: Rasheed, Tahir, et al.
Publicado: (2020) -
Multifrequency nonlinear model of magnetic material with artificial intelligence optimization
por: Pawłowski, J., et al.
Publicado: (2022) -
A Hybrid Intelligent Framework to Combat Sophisticated Threats in Secure Industries
por: Javeed, Danish, et al.
Publicado: (2022) -
Machine intelligence-driven framework for optimized hit selection in virtual screening
por: Kumar, Neeraj, et al.
Publicado: (2022)