Specifically, the proposed model contains two branches: contrastive learning and classification. The contrastive learning branch introduces the contrastive learning strategy to enhance the ...

Abstract: For multivariate time series classification, current research predominantly focuses on contrastive learning to acquire suitable representations. Despite their successes in enhancing accuracy ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

When we confuse how students learn with how we teach, we risk misalignment. This post is an attempt to clarify key terms that ...

A new study presents a hybrid Transformer-LSTM model that improves the detection of AI-generated text by analyzing semantic similarity for enhanced content verification.

DALLAS - Winnipeg Jets forward Mark Scheifele played in Game 6 against the Dallas Stars on Saturday just hours after learning of his father’s unexpected death. Scheifele’s line was on the ice ...

A panelist discusses how immune thrombocytopenia (ITP) is characterized by isolated low platelet counts due to autoimmune destruction, with classification based on duration (acute, extended ...

How We Choose the Best Free Language Learning Apps Hundreds of apps specialize in teaching just one language, but we limit our list to those that teach multiple. Our contributors test these apps ...

Lifelong learning is essential for alleviating poverty and hunger, addressing the climate crisis, fostering peaceful societies, and shaping our future. This journey begins in early childhood, ...