Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Nigeria’s market community is moving beyond basic chart patterns. Affordable computing and better data feeds are putting machine learning signals on the phones of traders in Lagos, Abuja, and Port ...

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...

Abstract: To improve the accuracy of breast cancer diagnosis and reduce examination costs, a novel ensemble learning method called support vector dynamic learning neural network (SVDL) is proposed in ...

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...

Abstract: Ensemble-based Automated Machine Learning (AutoML) methods have gained prominence for their ability to combine diverse machine learning models, achieving superior generalization performance.

ABSTRACT: The early detection of type 2 diabetes is a major challenge for healthcare professionals, as a late diagnosis can lead to severe and difficult-to-manage complications. In this context, this ...