WavelNet: A novel convolutional neural network architecture for arrhythmia classification from electrocardiograms

N Kim, W Seo, J Kim, SY Choi, SM Park - Computer Methods and Programs …, 2023 - Elsevier
Background and objective Automated detection of arrhythmias from electrocardiograms
(ECGs) can be of considerable assistance to medical professionals in providing efficient …

Application of compressed sensing based on adaptive dynamic mode decomposition in signal transmission and fault extraction of bearing signal

Z Cai, Z Dang, M Wen, Y Lv, H Duan - Machines, 2022 - mdpi.com
Bearings are widely used in mechanical equipment; nevertheless, potential dangers are
also widespread, making bearing fault detection very important. For large equipment, the …

Application of hybrid Wavelet-Fractal approach for denoising and spatial modeling of environmental pollution

H Mahdiyanfar… - Journal of Mining and …, 2024 - journals.shahroodut.ac.ir
In this investigation, the hybrid approach of wavelet transforms and fractal method named
Wavelet-Fractal model has been utilized for geochemical contamination mapping as a novel …

Violent crowd flow detection from surveillance cameras using deep transfer learning–gated recurrent unit

EM Imah, RDI Puspitasari - ETRI Journal, 2024 - Wiley Online Library
Violence can be committed anywhere, even in crowded places. It is hence necessary to
monitor human activities for public safety. Surveillance cameras can monitor surrounding …

Multipath Mitigation for Single Frequency Stand-Alone Receivers Using Wavelet Denoising

A Zulfiqar, SZ Farooq - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
Multipath error is one of the major error sources impacting high precision positioning in
Global Navigation Satellite Systems (GNSS). Particularly, for commonly available single …

PENERAPAN METODE WAVELET THRESHOLDING UNTUK MENGAPROKSIMASI FUNGSI NONLINIER

ML Janariah, S Bahri, N Fitriyani - Indonesian Physical Review, 2021 - ipr.unram.ac.id
The wavelet thresholding method is an approximation method by reducing noise, which is
known as the denoising process. This denoising process will remove noise while closed the …