Abstract: Canonical correlation analysis (CCA) is a widely used multivariate analysis technique for explaining the relation between two sets of variables. It achieves this goal by finding linear ...

Background: While body composition impacts pulmonary function, the differential effects of visceral (VAT) vs. subcutaneous adipose tissue (SAT) in early-onset COPD remain unquantified. Objective: To ...

The semiconductor industry is entering an era defined by heterogeneous integration and complex packaging technologies. Innovations such as wafer-on-wafer bonding, chiplets, multi-stacked die (2.5D/3D) ...

Canonical URLs help prevent duplicate content in search. Learn what they are, why they matter, and how to set them up correctly to protect rankings. Canonical URLs are HTML elements that tell search ...

Abstract: Thanks to its excellent nonlinear representation ability, deep neural network (DNN) has been designed to aid canonical correlation analysis (CCA) for stable kernel representation. These ...

ABSTRACT: The growth of an individual is an area of great scientific concern. The malleability of a human being in its physiological and psychological structure makes room for external influences. A ...

Forbes contributors publish independent expert analyses and insights. Korok Ray is a PhD economist/professor who researches/teaches Bitcoin. Strategy, formerly known as MicroStrategy, is the largest ...

Recent market analysis reveals Bitcoin’s price has experienced a significant 20% decline over the past month, prompting a closer examination of common investment narratives surrounding the ...

Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated features that explain the most correlation ...

There are a variety of pre-trade and derivatives trading tools that help examine market sentiment and formulate options strategies. This analysis explores such tools using the September 2024 Hong Kong ...