The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Offered by the Department of Computer Science and Engineering at the Faculty of Science and Technology This course looks at parallel programming models, efficient programming methodologies and ...

Consequently, there is an increasing demand for employing graph structure learning (GSL) techniques to optimize or generate the graphs. However, existing GSL techniques for traffic prediction ...

Our approach employs an iterative and parallel interference removal strategy inspired by parallel interference cancellation (PIC), enhanced with deep learning to jointly tackle the AD, CE, and DD ...