Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

What do mosquito populations and physical measurement data have in common? Both lead to a central problem in machine learning: the reliable estimation of class prevalence in the face of changing data.

The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...

Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...

These tables present key health indicators from all years of the continuous New Zealand Health Survey for adults and children, broken down by geographic areas and demographics.

Dr. Alan Kuhnle, assistant professor in the computer science and engineering department at Texas A&M University, is using smartphone mobility data collected from anglers to develop machine-learning ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

Around 70% of El Nino years since 1980 have been linked to weak Indian monsoons, underscoring a strong correlation as global ...

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...

ThinkTrends agentic Document AI platform has been deployed at the U.S. Federal Health Agency as part of its new nationwide Adverse Event Monitoring System (AEMS), a major modernization initiative to ...