MSU Denver’s AI aims to predict river flows weeks to months ahead. State-funded work could change how Colorado manages water.

This repository contains the implementation of our paper "WE-KAN: A SAR Image Rotating Object Detection Method Based on Wavelet Domain Feature Enhancement and KAN Prediction Head", introducing a novel ...

Seismic inversion is vital for reservoir characterization but faces significant challenges in complex fluvial-deltaic systems due to strong heterogeneity and thin-bedded formations. Current methods, ...

Turbulence is a fundamental process in a wide range of natural and laboratory systems. Experiments and observations often measure projected images of tracers in turbulent flows. Because the underlying ...

Abstract: Rapid and accurate methods for modeling long-range propagation in the troposphere are of major interest for various applications, including communication, navigation, surveillance, and ...

ABSTRACT: The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, ...

Near-infrared spectroscopy is now a popular method in neuromonitoring. Derived parameters like cerebral oxygenation index or Fast Fourier Transform based coherence estimates between blood pressure and ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Textile pilling is a persistent issue that results in an unattractive surface on garments, impacting their aesthetic and commercial value. This study employs image processing and machine learning ...

ABSTRACT: The use of solar energy is today widely recognized for the green transition but also for addressing societal challenges associated with the rise in global surface temperature. The design of ...