Abstract: In recent years, contrastive learning (CL) frameworks have been widely applied to multivariate time series classification (MTSC) tasks. However, existing methods lack task-specific guidance, ...
Automatic classification of interior decoration styles has great potential to guide and streamline the design process. Despite recent advancements, it remains challenging to construct an accurate ...
1 Department of Computing and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Alzheimer’s Disease (AD) is a ...
A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...
Crude oil is heated to the boiling point in a test tube, and the individual fractions are collected separately. (2) This is a model experiment for how a crude-oil refinery works. Paraffin is heated in ...
ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...
Enterprise software is evolving rapidly. AI is reshaping SaaS categories and forcing both vendors and buyers to adapt. It reminds me of working in R&D in the U.K. automotive industry in the 1980s, ...
Jul 17, 2025- Learn about all aspects of the classification process across Para Alpine, Para Cross-Country and Para Snowboard in a dedicated series of six articles published ahead of the 2025-2026 ...
One former Air Force leader anticipates that there are a plethora of additional ways that artificial intelligence (AI) and large language models (LLMs) can assist crews in accomplishing their tasks ...
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