Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

ABSTRACT: Corrosion is one of the most challenging problems that affects the safety and durability of onshore pipelines. Corrosion-resistant steels play a pivotal role in ensuring long lasting ...

This section presents MS student thesis projects on machine learning, deep learning, NLP, computer vision, and e-learning. Each thesis includes research reviews, datasets, code implementations, and ...

This paper is in the following e-collection/theme issue: Artificial Intelligence (2314) Chronic Foot Ulcer and Wounds (23) Pressure Ulcers and Decubitus Wounds (30) Machine Learning (2211) Artificial ...

Cloud classification is evolving into a central component of meteorological research and practical applications, including climate monitoring and solar energy forecasting. Recent advances in machine ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...

In this tutorial, we will show you how to upscale an image using Copilot PC. Whether you want to take a large print of a picture, improve old photos, or crop a photo to focus on the content, you can ...

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...