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 ...

The skies will be mostly clear. The low will be 9° during this blustery night. Good air quality (0-50) Primary pollutant PM10 43 μg/m³ Small trees in leaf begin to sway; crested wavelets form on ...

"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 ...

This paper introduces an innovative network framework, including the wavelet domain concatenation and recovery mechanism, to overcome the dual challenges encountered in robust watermarking, namely ...

The journal Geo-Spatial Information Science will soon release a special issue showcasing the mid-term achievements of the ...

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 ...

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 ...

C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.