“As more schools and districts invest in AI training, teachers are seeing practical use cases and gaining the confidence to ...

Discover the significance of CINS numbers, an international security identifier, and how they facilitate global financial ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Abstract: The feature fusion of optical and Synthetic Aperture Radar (SAR) images is widely used for semantic segmentation of multimodal remote sensing images. It leverages information from two ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine learning has proven to be very powerful for predicting mutation effects in ...

Presentation of the best paper award at the RoboCup 2025 symposium. An important aspect of autonomous soccer-playing robots concerns accurate detection of the ball. This is the focus of work by Can ...

Introduction: In the field of materials science, the prediction of material properties plays a critical role in designing new materials and optimizing existing ones. Traditional experimental ...

A brand-new season of Dolphins football is around the corner and we're getting you ready for the start of training camp! Over the next two weeks, we'll be looking at the entirety of the Dolphins ...

Abstract: Semi-supervised learning (SSL) methods have shown promising results in solving many practical problems when only a few labels are available. The existing methods assume that the class ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...