[HTML][HTML] Machine learning based prediction of Young's modulus of stainless steel coated with high entropy alloys
N Radhika, M Sabarinathan, S Ragunath… - Results in …, 2024 - Elsevier
Abstract The High Entropy Alloy (HEA) coatings exhibit diverse properties contingent upon
their composition and microstructure, addressing current industrial requirements. Machine …
their composition and microstructure, addressing current industrial requirements. Machine …
Tensor product based 2-D correlation data preprocessing methods for Raman spectroscopy of Chinese handmade paper
The paper introduces two new methods, namely the cross correlation method (CCM) and
two-dimensional correlation method (TDCM), for preprocessing Raman spectroscopy data …
two-dimensional correlation method (TDCM), for preprocessing Raman spectroscopy data …
Prediction of Preterm Labor from the Electrohysterogram Signals Based on Different Gestational Weeks
S Mohammadi Far, M Beiramvand, M Shahbakhti… - Sensors, 2023 - mdpi.com
Timely preterm labor prediction plays an important role for increasing the chance of neonate
survival, the mother's mental health, and reducing financial burdens imposed on the family …
survival, the mother's mental health, and reducing financial burdens imposed on the family …
Exploring temperature-dependent photoluminescence dynamics of colloidal CdSe nanoplatelets using machine learning approach
IP Malashin, D Daibagya, V Tynchenko, V Nelyub… - Scientific Reports, 2024 - nature.com
The study explore machine learning (ML) techniques to predict temperature-dependent
photoluminescence (PL) spectra in colloidal CdSe nanoplatelets (NPLs), leveraging …
photoluminescence (PL) spectra in colloidal CdSe nanoplatelets (NPLs), leveraging …
Novel polynomial Abet data augmentation algorithm with GRU paradigm for nuclear power prediction
In current study innovative approach is presented to improve the accuracy and efficiency of
machine learning models on the dataset for each of the 31 US states, solely comprising a …
machine learning models on the dataset for each of the 31 US states, solely comprising a …
The Use of Virtual Tissue Constructs That Include Morphological Variability to Assess the Potential of Electrical Impedance Spectroscopy to Differentiate between …
Electrical impedance spectroscopy (EIS) has been proposed as a promising noninvasive
method to differentiate healthy thyroid from parathyroid tissues during thyroidectomy …
method to differentiate healthy thyroid from parathyroid tissues during thyroidectomy …
[PDF][PDF] Molecular and Biomolecular Spectroscopy
The paper introduces two new methods, namely the cross correlation method (CCM) and
two-dimensional correlation method (TDCM), for preprocessing Raman spectroscopy data …
two-dimensional correlation method (TDCM), for preprocessing Raman spectroscopy data …
Electrical Impedance Spectroscopy Based Preterm Birth Prediction with Machine Learning
M Wang, ZQ Lang, D Zhang, DOC Anumba - International Conference on …, 2024 - Springer
Preterm birth (PTB) is a critical global health concern as it stands as the leading cause of
neonatal mortality. The objective of this research is to construct Machine Learning (ML) …
neonatal mortality. The objective of this research is to construct Machine Learning (ML) …