Resources for observational comparative research have expanded enormously in recent years to include very large sources of ...
UBC Okanagan researchers, working with scientists at BC Cancer–Kelowna, have developed a groundbreaking AI model that can ...
Scientists have created a new system to calculate the risk of short-term disease progression in people with pulmonary ...
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 ...
Abstract: The heart is the center of the human body, and when it is not functioning well, the body cannot operate effectively. This research aims to compare some of the classifier models to find the ...
This repository contains the data and analysis code for the study "Machine Learning-driven biomarker discovery for stratifying treatment response in tick-borne illness". It investigates the ...
Broadcasting plays an important role in offshore information transmission because of its stability and long-distance propagation characteristics. To improve propagation prediction in the offshore ...
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