Bronchopulmonary dysplasia (BPD) is a common, chronic respiratory condition that occurs in premature newborns with ...
Los Alamos researchers developed PAS, a real-time tool that helps detect false image claims in machine vision models.
Oil companies are shifting reserve estimates from human engineering to machine-learning models, while the SEC audit rules ...
Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
Abstract: This study proposes a PCA-machine learning fusion model to address the inefficiency and subjectivity of traditional pear quality evaluation. A standardized dataset was constructed by ...
PCA was applied to reduce the dimensionality, and StandardScaler was used for data normalization. For machine learning, I tested multiple models to achieve 99% accuracy. The Random Forest model, which ...
Breast cancer is one of the most common cancers worldwide. In this project, we leverage RNA-Seq data to classify cancerous and non-cancerous tissue samples using machine learning. The main goal is to ...
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