Browsing 2023 by Subject "machine learning"

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A Less Common Algorithmic Complexity Approach to EEG Signal Processing for Machine Learning

IAPASCURTA, Victor (Springer Nature Switzerland, 2023)

Electroencephalography (EEG) is a widely used neuroimaging technique that records the electrical activity of the brain. EEG analysis provides valuable insights into brain dynamics and understanding of neural processes. As ...
NLP Tools for Epileptic Seizure Prediction Using EEG Data: A Comparative Study of Three ML Models

IAPASCURTA, Victor; FIODOROV, Ion (Springer Nature Switzerland, 2023)

Natural Language Processing (NLP) is an ever-evolving field of computer science that involves the development of algorithms that can process, analyze and understand human language. One of the most exciting areas of NLP is ...

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