This monograph contains 10 lectures presented by Dr. Daubechies as the principal speaker at the 1990 CBMS-NSF Conference on Wavelets and Applications. Wavelets are a mathematical development that many ...

This repository provides an overview of the pattern identification system designed for voltage time series data. The system utilizes machine learning and deep learning techniques to detect and ...

RadYOLOLet employs two independently trained convolutional neural networks, RadYOLO and Wavelet-CNN. RadYOLO operates on spectrograms and provides most of the capabilities of RadYOLOLet unless the ...

This letter introduces WaveMamba, a novel approach that integrates wavelet transformation with the spatial-spectral Mamba (SSMamba) architecture to enhance HSI classification. WaveMamba captures both ...

For added efficiency in high-resolution generation, they introduced invertible wavelet transforms at the beginning and end of the network, using 2-level Haar wavelets to downsample images in pixel ...

We present a method for direct imaging of the electric field networks in the human brain from electroencephalography (EEG) data with much higher temporal and spatial resolution than functional MRI ...

Snow is forecasted for the daytime hours. The high will be -1° and it will be blustery. Good air quality (0-50) Primary pollutant O₃ 52 μg/m³ Amount of moisture present in the air relative to the ...

"Bearing faults are responsible for the majority of wind turbine's planetary gearbox downtime. With our patented wavelet neural network enabled algorithms, we are able to diagnose faults on individual ...