The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

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 (2294) Chronic Foot Ulcer and Wounds (23) Pressure Ulcers and Decubitus Wounds (30) Machine Learning (2198) Artificial ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

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 ...

Abstract: Among the technologies that are utilized in the research and development of contemporary science and technology, image classification is an essential technology. Scholars from a variety of ...