Abstract: Multi-class classification is a current research area within machine learning, aimed at solving problems where input data is categorized into more than two classes. The dataset is in English ...

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...

Abstract: Multi-class classification talks about classification tasks that have three or more classes. It takes the assumption that every data sample in the dataset is assigned to one and only one ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

SHENZHEN, China, Oct. 24, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network ...

Kristy Ambrose has been writing professionally since 2010. She dabbles in various genres, but her favorites are fantasy and science fiction. She creates everything from fanfiction to serialized novels ...