Casey Owens, professor of poultry processing and products for the University of Arkansas System Division of Agriculture, was a co-author of a study by the Arkansas Agricultural Experiment Station, ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

The following is a summary of “Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.

Through the LocalDocs feature, users can analyze personal files and build knowledge bases entirely on their machine. The platform supports ... Code Llama for programming, LLaVA for image processing, ...

Using deep learning models, scientists at Sharjah University have designed techniques to automatically predict suitable image dimensions to fit different screens or devices far more efficiently and ...

Hyperspectral image (HSI) classification has been extensively studied in the context of Earth observation. However, its application in Mars exploration remains limited. Although convolutional neural ...

Traditional real estate market analytics methods are being replaced by advanced algorithms capable of analyzing thousands of variables at once, such as property size, location, and comparable sales, ...