Abstract: Accurate estimation of branch road traffic flow is crucial for urban traffic management and optimization, yet direct observation is often limited by infrastructure costs and practical ...

Abstract: A Newton-like extremum seeking (ES) algorithm is proposed to maximize the norm of the gradient vector of a multivariable static map, aiming to improve the sensitivity of system responses to ...

Consider the marvelous physics of the human knee. The largest hinge joint in the body, it has two rounded bones held together ...

Recent advances in estimation techniques have underscored the growing importance of shrinkage estimation and balanced loss functions in the analysis of multivariate normal distributions. These ...

As artificial intelligence reshapes discovery, visibility, and trust, a new category of marketing work is quietly becoming essential. HICKORY, NC, UNITED STATES ...

New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

This is the repo for GraphComBO, a Bayesian optimization tool for black-box and expensive functions defined over node subsets in graphs, where the goal is to find the optimal subset within a limited ...

Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to ...

The final, formatted version of the article will be published soon. Continuous traumatic stress has wide-ranging implications for important life outcomes across multiple domains. We present the design ...