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 ...

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 programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

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 ...

Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China ...

AI tools are driving efficiency and strategic gains—and fundamentally reshaping finance professionals’ roles. Artificial intelligence promises to ignite a revolution in the corporate finance function, ...

Introduction: Near-infrared spectroscopy is now a popular method in neuromonitoring. Derived parameters like cerebral oxygenation index or Fast Fourier Transform based coherence estimates between ...

https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...