Combining low-loss EELS experiments with machine learning-based algorithms to automate the phases separation imaging in industrial duplex stainless steel
VC Riglos, BA Dolores, A Ramasubramaniam… - Materials …, 2024 - Elsevier
At present, transmission electron microscopy is regarded as the main option when dealing
with phase characterization for materials at a nanometric scale. The development and …
with phase characterization for materials at a nanometric scale. The development and …
Prediction of the Cu Oxidation State from EELS and XAS Spectra Using Supervised Machine Learning
SP Gleason, D Lu, J Ciston - arXiv preprint arXiv:2309.04067, 2023 - arxiv.org
Electron energy loss spectroscopy (EELS) and X-ray absorption spectroscopy (XAS) provide
detailed information about bonding, distributions and locations of atoms, and their …
detailed information about bonding, distributions and locations of atoms, and their …
Machine Learning Data Augmentation Strategy for Electron Energy Loss Spectroscopy: Generative Adversarial Networks
D del-Pozo-Bueno, D Kepaptsoglou… - Microscopy and …, 2024 - academic.oup.com
Recent advances in machine learning (ML) have highlighted a novel challenge concerning
the quality and quantity of data required to effectively train algorithms in supervised ML …
the quality and quantity of data required to effectively train algorithms in supervised ML …
Application of Intelligent Algorithm Prediction Model Based on Particle Swarm Optimization on Power Load Forecast
P Ren, T Li, K Zhang - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
In Multi-output Support Vector Regression (MSVR), choosing an appropriate combination of
the penalty parameter and the kernel parameter is of great significance. To quickly calculate …
the penalty parameter and the kernel parameter is of great significance. To quickly calculate …
Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles
MN Abdullah, YB Wah - The International Conference on Data Science …, 2023 - Springer
Breast cancer (BC) is a leading global health challenge, with survival rate varying
significantly across regions due to socio-economic disparities and healthcare accessibility …
significantly across regions due to socio-economic disparities and healthcare accessibility …