IEEE

Data Generation for Enhancing EEG-Based Emotion Recognition: Extracting Time-Invariant and Subject-Invariant Components With Contrastive Learning

Abstract: The utilization of Artificial Intelligence for Generative Content (AIGC) has emerged as an effective and sophisticated approach for generating synthetic Electroencephalography (EEG) signals.
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I tried combining machine learning with local LLMs to see what's possible. Explaining where to use local LLMs.

While building a web tool that makes data analysis using machine learning easy, I thought about what could be achieved by combining machine learning with local LLMs. Since machine learning terminology ...
IEEE

Self-Iterated Extracting Wavelet Transform and Its Application to Fault Diagnosis of Rotating Machinery

Abstract: Time–frequency (TF) analysis (TFA) is a valuable tool for capturing nonstationary features in time-varying signals. However, for strongly amplitude-modulated and frequency-modulated (AM–FM) ...