With the help of students from the intermediate architecture Rocky Mountain Land Library studio, taught and led by Teaching Professor Marianne Holbert, a portion of this extensive collection may find ...

Electrocardiograms (ECG) are vital for diagnosing various cardiac conditions but are often corrupted by noise from multiple sources, which can hinder accurate interpretation. Denoising ECG signals is ...

To tackle this issue, this paper introduces a density peak clustering algorithm, RMKNN-FDPC, which integrates relative mutual K-nearest neighbor local density with a fuzzy allocation strategy for ...

Understanding the difference between signal and noise in a measurement is fundamental to analytical chemists. The typical instruments found in an undergraduate chemistry department can be used to ...

In the first stage, the ECG signal is preprocessed using the discrete wavelet transform (DWT) to remove the baseline wandering and denoise the signal. Secondly, a clustering-based algorithm classifies ...

Clustering techniques are consolidated as a powerful strategy for analyzing the extensive data generated from molecular modeling. In particular, some tools have been developed to cluster ...

The trick to doing this is to reign-in signal peaks using a limiter, thereby creating headroom that can be filled by adding gain to the audio to make it louder overall.