University of South Florida postdoctoral researcher Kun Bu develops advanced AI and statistical frameworks to extract clear, ...

Advances in virtual and augmented reality, spatial computing, and other technologies offer chances to work with data more ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Fetal health is critical to peri- and post-natal normality with consequences for general health in later life. However, even when pregnancies show no identifiable risks, 100% healthy births do not ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Abstract: The popular deep learning high-resolution seismic processing methods face great challenges in achieving desirable high-signal-to-noise ratio (SNR) high-resolution results of the field ...

Getting Started (requires a working internet connection): EITHER a) Go to https://github.com/CIC-methods/FID-A and click on the "Clone or Download" -> "Download ZIP ...

Abstract: Analysis and processing of very large data sets, or big data, poses a significant challenge. Massive data sets are collected and studied in numerous domains, from engineering sciences to ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

This is the library for the methods usable by the Open Skills API, including processing algorithms and utilities for computing our jobs and skills taxonomy. New to Skills-ML? Check out the Skills-ML ...

Data were extracted and processed using distinct data processing pipelines. This allowed for the evaluation of the impact of different processing methods by comparing the two datasets in a three-step ...