This project aims to explore and benchmark the performance of quantum kernel methods applied to small, classical datasets for binary classification tasks. Quantum kernel methods leverage the ...
Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in ...
Abstract: Cancer is a heterogeneous disease that can spread to any body part. Breast cancer is one of the most dangerous cancers among women, contributing significantly to mortality worldwide. This ...
NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Breast cancer poses a significant global health challenge, requiring improved ...
Dataset Selection & Preprocessing A multi-class dataset from the UCI library was used. The dataset had between 5k to 30k rows. The dataset was split into 10 random 70-30 train-test splits, labeled S1 ...
Abstract: A Support Vector Machine (SVM) algorithm, combined with the Radial Basis Function (RBF), is employed in this paper for diagnosing power transformer oil through Dissolved Gas Analysis (DGA).
1 School of Mechanical and Electronic Engineering, Hubei Polytechnic University, Huangshi, China 2 Hubei Key Laboratory of Intelligent Conveying Technology and Device, Hubei Polytechnic University, ...
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