CESTAT Delhi held that imported parts being all parts of Juniper router are cannot be classified as Network Interface Card ...

Abstract: Principal Component Analysis (PCA) aims to acquire the principal component space containing the essential structure of data, instead of being used for mining and extracting the essential ...

With students back in school for the second half of the year, the Howland Board of Education heard from one of the ...

Spectral speech features may serve as noninvasive biomarkers for monitoring attention and executive function in major depressive disorder.

India is accelerating its mission to create homegrown audit and advisory firms of global scale by March 2026. Key reforms include the establishment of Multi-Disciplinary Partnerships (MDPs), lifting ...

Abstract: Principal component analysis (PCA) is an exploratory tool widely used in data analysis to uncover the dominant patterns of variability within a population. Despite its ability to represent a ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. The term notional ...

ABSTRACT: This article examines the effect of economic vulnerability on inclusive growth across 49 developing countries from 1991 to 2020, focusing on the mitigating role of agricultural structural ...

ABSTRACT: This study investigates the use of a decision tree classification model, combined with Principal Component Analysis (PCA), to distinguish between Assam and Bhutan ethnic groups based on ...

This paper develops a procedure for uncovering the common cyclical factors that drive a mix of stationary and nonstationary variables. The method does not require knowing which variables are ...