Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…”

Data Sheet 1_A hyperspectral approach for retrieving inherent optical properties, phytoplankton pigments, and associated uncertainties from non-water absorption.pdf by Brice Grunert (13582600)

“…The original Derivative Analysis and Iterative Spectral Evaluation of Absorption (DAISEA) algorithm was produced as a means to identify spectral features in hyperspectral absorption spectra free of explicit spectral assumptions in an effort to bypass these limitations. …”

Chart showing the target tracking performances of the three control algorithms under noise. by Xiaosong Liu (66661)

Image 2_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.tif by Jiaming Wang (2637667)

“…</p>Method<p>In this study, a robust and accurate prediction model for osteoporosis was developed and validated based on machine learning and SHAP techniques. …”

Table 1_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.docx by Jiaming Wang (2637667)

“…</p>Method<p>In this study, a robust and accurate prediction model for osteoporosis was developed and validated based on machine learning and SHAP techniques. …”

Image 1_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.tif by Jiaming Wang (2637667)

“…</p>Method<p>In this study, a robust and accurate prediction model for osteoporosis was developed and validated based on machine learning and SHAP techniques. …”

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Automatic lithology recognition algorithm while drilling. by Wei Jiang (14986)

Subjects:

Genetic algorithm for hyperparameter optimization. by Md. Shafak Shahriar Sozol (21212880)

Subjects:

Table 1_Prediction of myopia onset and shift in premyopic school-aged children: a machine learning-based algorithm.docx by Mingjun Gao (4588822)

“…Purpose<p>This study aimed to investigate longitudinal changes in ocular parameters and develop a machine learning-based model for predicting myopia onset and shift within 1 year in school-aged premyopic children.…”

Image 5_Exploring shared pathogenic mechanisms and biomarkers in hepatic fibrosis and inflammatory bowel disease through bioinformatics and machine learning.tif by Shangkun Li (310577)

“…The key diagnostic biomarkers were determined via a protein-protein interaction (PPI) network combined with two machine learning algorithms. The logistic regression model was subsequently developed based on these key genes. …”

Image 2_Exploring shared pathogenic mechanisms and biomarkers in hepatic fibrosis and inflammatory bowel disease through bioinformatics and machine learning.tif by Shangkun Li (310577)

“…The key diagnostic biomarkers were determined via a protein-protein interaction (PPI) network combined with two machine learning algorithms. The logistic regression model was subsequently developed based on these key genes. …”

Image 4_Exploring shared pathogenic mechanisms and biomarkers in hepatic fibrosis and inflammatory bowel disease through bioinformatics and machine learning.tif by Shangkun Li (310577)

“…The key diagnostic biomarkers were determined via a protein-protein interaction (PPI) network combined with two machine learning algorithms. The logistic regression model was subsequently developed based on these key genes. …”

Image 1_Exploring shared pathogenic mechanisms and biomarkers in hepatic fibrosis and inflammatory bowel disease through bioinformatics and machine learning.tif by Shangkun Li (310577)

“…The key diagnostic biomarkers were determined via a protein-protein interaction (PPI) network combined with two machine learning algorithms. The logistic regression model was subsequently developed based on these key genes. …”

Image 3_Exploring shared pathogenic mechanisms and biomarkers in hepatic fibrosis and inflammatory bowel disease through bioinformatics and machine learning.tif by Shangkun Li (310577)

“…The key diagnostic biomarkers were determined via a protein-protein interaction (PPI) network combined with two machine learning algorithms. The logistic regression model was subsequently developed based on these key genes. …”

Furniture design based on cultural orientation: a thematic review by Wenhong Huang (1675600)

The selection process of the ONDL model among other models. by Nour Eldeen Mahmoud Khalifa (19259450)

Subjects:

Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. by Emmanuel Ndongue Esseme (22615091)

Collaborative Research: Elements: A task-based code for multiphysics problems in astrophysics at exascale by Nils Deppe (19460062)

“…The code is designed to scale to over a million cores using two key algorithmic innovations: task-based parallelism and a hybrid discontinuous Galerkin - finite difference subcell method. …”

Confusion matrix on test image. by Vaibhav Gadag (20642471)

“…</p><p>Results</p><p>The classification accuracy comes out to be 98%. The algorithm works excellently with datasets having class imbalance by taking pair of images as input. …”