Abstract: The swift evolution of artificial intelligence and big data has dramatically increased data volume and computational complexity, thereby considerably escalating data storage and processing ...
ABSTRACT: The visualization of high-dimensional data is a cornerstone of modern scientific inquiry, particularly in quantum physics, where complex non-linear interactions define system behavior. While ...
This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
This is an agile repository to perform cell unsupervised clustering using Hibou-L model to extract the cell embeddings. Each embedding has a size of 1024 for which dimensionality reductions is also ...
Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
MARS regression is a great and really practical technique. py-earth implemented this, based in the R earth library. The archived state of py-earth means it's only possible to get working with old ...
The advancement of tactile sensing in robotics and prosthetics is constrained by the trade-off between spatial and temporal resolution in artificial tactile sensors. To address this limitation, we ...
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