Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
Abstract: The exponential increase in digital imagery has amplified the demand for effective tools to identify similar images and merge them into richer informative outputs. with the applications as ...
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 ...
ABSTRACT: We present a method for the path integral formulation of electronic structure simulation. The time evolution operator is represented as matrix in a basis consisting of Deslauriers-Dubuc or ...
We present a method for the path integral formulation of electronic structure simulation. The time evolution operator is represented as matrix in a basis consisting of Deslauriers-Dubuc or Daubechies ...
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 ...
Abstract: Underwater acoustic target recognition (UATR) faces challenges from complex, non-stationary ship-radiated noise, which comprises a mixture of broadband, narrowband, and transient components ...
Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
Now t at we can run wav_data in both IDL and Python with matching results, we should try an example using the IDL Wavelet toolkit routines versus the Python wavelets library and see how comparable ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results