Abstract: The present work deals with the improvement of short-term wind energy forecasting techniques by combining time series decomposition techniques (Wavelet Transform) and Deep Learning recurrent ...

As high-throughput genomic sequencing generates increasing data volumes, researchers face challenges in identifying functional gene regions within DNA ...

Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...

The module includes both a Python library and a REST API server for remote wavelet analysis. Sample scripts (sample.py, sample_xwt.py) illustrate library usage, while the server enables integration ...

The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

ABSTRACT: A critical phase in seismic research is the transformation of the recorded seismic waves into new ones, more suitable for further interpretation or processing. When the propagation of the ...

Metal has long been a cornerstone of construction, but its role in modern architecture extends far beyond traditional structural support. Today's architects and engineers are discovering innovative ...

Energy-efficient spikformer has been proposed by integrating the biologically plausible spiking neural network (SNN) and artificial transformer, whereby the spiking self-attention (SSA) is used to ...