Abstract: Bearing fault detection is critical for ensuring the reliability of industrial machinery, as mechanical failures can lead to significant downtime and maintenance costs. This paper presents a ...
Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...
Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
An awe-inspiring science project by a Dallas ISD seventh-grader is now drawing national attention, as the student works to secure a Guinness World Record as the youngest person to achieve nuclear ...
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