Using a deep learning model to analyze the composition of large muscles on MRI, German researchers found that the proportions ...
Researchers used AI to analyze whole-body MRI scans from more than 66,000 participants to create the most detailed reference ...
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
In people with Type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...
This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...
#To support data collection, analysis, and modeling, I use several R packages commonly applied in financial and economic analysis. The quantmod package is used to retrieve macroeconomic data directly ...
Abstract: According to the World Health Organization, cardiovascular and cerebrovascular diseases are still the world's leading cause of death and disability. More than 500 million people worldwide ...
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