Distribution and correlation-free two-sample test of high-dimensional means

K Xue, F Yao - 2020 - projecteuclid.org
Distribution and correlation-free two-sample test of high-dimensional means Page 1 The Annals
of Statistics 2020, Vol. 48, No. 3, 1304–1328 https://doi.org/10.1214/19-AOS1848 © Institute of …

[PDF][PDF] Complexity analysis of EEG motor movement with eye open and close subjects using multiscale permutation entropy (MPE) technique.

L Hussain, W Aziz, S Saeed, SA Shah… - Biomedical Research …, 2017 - researchgate.net
Background: Biological systems exhibit non-linear and spatiotemporal dynamics and
structures even at rest. Humans demonstrate a remarkable ability to generate accurate and …

[PDF][PDF] Multiscaled complexity analysis of EEG epileptic seizure using entropy-based techniques

L Hussain, S Saeed, IA Awan, A Idris - Archives of Neuroscience, 2018 - brieflands.com
Objectives: The most common chronic disorder due to sudden change in the electrical
activity of the brain is known as epilepsy. It causes millions of deaths every year and is the …

[PDF][PDF] A radial base neural network approach for emotion recognition in human speech

L Hussain, I Shafi, S Saeed, A Abbas, IA Awan… - IJCSNS, 2017 - researchgate.net
Emotions play a vital role during verbal communication in our daily life as only the textual
information cannot convey the complete information. Emotions in human speech is a …

Analyzing physical activity impact based on ubiquitous nonlinear dynamics and electroencephalography data

PK Shukla, P Maheshwary, S Kundu… - … and Health Care, 2024 - journals.sagepub.com
BACKGROUND: Understanding complex systems is made easier with the tools provided by
the theory of nonlinear dynamic systems. It provides novel ideas, algorithms, and techniques …

Innovative and Effective Machine Learning-Based Method to Analyze Alcoholic Brain Activity with Nonlinear Dynamics and Electroencephalography Data

R Koliqi, A Fathima, AK Tripathi, N Sohi… - SN Computer …, 2023 - Springer
Understanding complex systems is made easier with the tools provided by the theory of
nonlinear dynamic systems. It provides novel ideas, algorithms, and techniques for signal …

Computer-aided diagnosis Application by using Nonlinear Dynamics of EEG Signals to detect Depression State

GM Ramadan, M Salem, AK Hamzah… - 2023 International …, 2023 - ieeexplore.ieee.org
In neurophysiology, nonlinear dynamics has been utilised to decode the intricate EEG
brainwave patterns. In order to better understand the nonlinear nature of EEG data …

Distribution/correlation-free test for two-sample means in high-dimensional functional data with eigenvalue decay relaxed

K Xue - Science China Mathematics, 2023 - Springer
We propose a methodology for testing two-sample means in high-dimensional functional
data that requires no decaying pattern on eigenvalues of the functional data. To the best of …

Alcoholic index using non-linear features extracted from different frequency bands

G Muralidhar Bairy, UC Niranjan, SL Oh… - Journal of Mechanics …, 2017 - World Scientific
Alcoholism is a complex condition that mainly disturbs the neuronal networks in Central
Nervous System (CNS). This disorder not only disturbs the brain, but also affects the …