Prostate cancer (PCa) remains a significant global health challenge, with rising morbidity rates and poor prognosis associated with advanced stages ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

This is Part II of a three-part series marking the 10th anniversary of the Peanut Corporation of America (PCA) sentencing. With the sentencing of Peanut Corporation of America (PCA) executives — ...

This is Part I of a three-part series marking the 10th anniversary of the historic sentencing in the Peanut Corporation of America (PCA) criminal case. Witness to Justice Ten years ago, on Sept. 21, ...

The denomination had ordered agencies to determine the “appropriateness” of the book for Christians. The Presbyterian Church in America’s bookstore wouldn’t recommend or sell Jesus Calling, but the ...

PCA + MiniBatch KMeans offers a strong trade-off between performance and computational cost. SAE + DBSCAN produces high-quality clusters but requires significantly more training time. Visual ...

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.

The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...

Introduction: Parkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets. Conclusion: Our findings suggest that, while PD is ...