ClassBD Achieves Exceptional Anti-Noise Performance on HIT Dataset with F1 Score Above 96% | HackerNoonThe HIT dataset provides high-quality data for analyzing faulty bearings, improving methodologies for deconvolution and classification tasks.
Using Three-Peak Analysis for Projected Exclusion Limits in Vector Dark Matter Detection | HackerNoonA hybrid frequentist-Bayesian approach enhances the detection of dark matter signals and sets robust exclusion limits for future experiments.
Recasting Three-Peak Exclusion Limits on B L Dark Matter via Accelerometer Studies | HackerNoonThe study outlines methods for detecting B − L dark photon dark matter through statistical analysis and signal recasting techniques.
Using Three-Peak Analysis for Projected Exclusion Limits in Vector Dark Matter Detection | HackerNoonA hybrid frequentist-Bayesian approach enhances the detection of dark matter signals and sets robust exclusion limits for future experiments.
Recasting Three-Peak Exclusion Limits on B L Dark Matter via Accelerometer Studies | HackerNoonThe study outlines methods for detecting B − L dark photon dark matter through statistical analysis and signal recasting techniques.