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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

D. Arman

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2 papers indexed here

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Open access Sep 2026

LYAPUNOV EXPONENT OF EEG SIGNALS AND BRAIN NETWORKS DURING EMOTION PERCEPTION

Electroencephalography (EEG) provides a non-invasive means to investigate the dynamic behavior of the brain through electrical activity. Traditional linear analysis methods tend to be insufficient in capturing the complexity of neural signals. This study applies nonlinear dynamic analysis - the Largest Lyapunov Exponen...

R. Zhulduzbayev, Bauyrzhan Zhakenov, A. Kustubayeva et al. · 0 citations
Open access Sep 2026

Benchmarking Baseline Machine Learning Models for Multiclass EEG Emotion Classification on the FACED Dataset

Emotion recognition from electroencephalography (EEG) signals is a central problem in affective computing. This study benchmarks seven classical machine learning models—XGBoost, LightGBM, Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, and Logistic Regression—for multiclass EEG em...

Raiymbek Nurtay, B. Abdikenov, R. Zhulduzbayev et al. · 0 citations

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