An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

A pruning reservoir computing technique can mitigate noise and reconstruct nonlinear dynamics for potential engineering and neuroscience applications.

This is a preview. Log in through your library . Abstract Random utility models (RUMs) are used in the literature to model consumer choices from among a discrete set of alternatives, and they ...

In this paper, we consider the local asymptotics of the nonparametric function in a partially linear model, within the framework of the divide-and-conquer estimation. Unlike the fixed-dimensional ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

Scientists update Hamilton’s rule with powerful new math, revealing the many ways altruism and cooperation can thrive in ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Researchers at the University of California San Diego were selected for a $5 million award from the U.S. Department of Energy ...

This study introduces a reliability assessment methodology for high grade steel large diameter natural gas pipelines, which systematically accounts for the correlations and nonlinear coupling effects ...

How can shock-absorbing materials be enhanced to improve safety and efficiency? This is what a recent study published in ...

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ...