The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts that have puzzled scholars for centuries, detected cancers missed by human ...

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

CREATING NEW NON-CAREER, POLICY-ORIENTED EMPLOYEES IN THE FEDERAL GOVERNMENT: Today, President Donald J. Trump signed an Executive Order creating a new classification of non-career federal workers, ...

Brookdale Senior Living will be required to adopt corporate governance reforms and pay $1.9 million in attorneys’ fees and expenses under the terms of a settlement to a lawsuit over the company’s ...

Multiview Enhanced Characteristics (Mecha) is a new feature-based TSC algorithm. Mecha consists of three components. In the diverse feature extractor, the global and local patterns are enhanced via ...