Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

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) ...

Paper and board producer expresses outlook caution regarding tariff effects despite its focus on the North American market. “Box demand was solid and exceeded a very strong comparative period in last ...

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.

Abstract: In the industrial field, Water pumps are key equipment for fluid transportation in the industrial field, and the fault warning of water pumps is of great significance for ensuring the ...