The future of trading belongs to ecosystems where algorithms and informed human decision making work together in disciplined ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...

Background Amyloid transthyretin (ATTR) amyloidosis is a rare, life-threatening disease frequently manifesting with ...

Across South Florida, giant snakes that once seemed like exotic escapees are now entrenched residents, reshaping ecosystems ...

Pattern is a modern, opinionated, cookiecutter template for your next Python project. Included is modern tooling and dependencies with sensible rules and settings. Also included is all the boilerplate ...

In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Human-Centered Pattern Recognition is an interdisciplinary approach to designing and implementing pattern recognition systems that prioritize human needs, interpretability, and collaboration. Unlike ...

Abstract: Textile pattern recognition was studied based on artificial intelligence (AI) for the automation of pattern recognition on textiles. Computer vision and deep learning techniques were used ...