Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends

G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin - Bioengineering, 2023 - mdpi.com
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

Review of EEG affective recognition with a neuroscience perspective

RY Lim, WCL Lew, KK Ang - Brain Sciences, 2024 - mdpi.com
Emotions are a series of subconscious, fleeting, and sometimes elusive manifestations of
the human innate system. They play crucial roles in everyday life—influencing the way we …

Optical-based aqueous solution detection by graphene metasurface surface plasmon resonance biosensor with behavior prediction using polynomial regression

J Wekalao, SK Patel, SB Khalifa, S Chebaane… - Plasmonics, 2024 - Springer
Aqueous solutions are fundamental to a wide range of chemical and biological processes,
serving as a critical medium for both natural phenomena and technological advancements …

[HTML][HTML] Electroencephalogram channel selection based on pearson correlation coefficient for motor imagery-brain-computer interface

R Dhiman - Measurement: Sensors, 2023 - Elsevier
Abstract Decryption of Motor Imagery (MI) activity from an Electroencephalogram (EEG) data
is a significant part of the Brain-Computer Interface (BCI) technology that allows motor …

[PDF][PDF] Copper and Aluminium as Economically Imperfect Substitutes, Production and Price Development.

V BARTOŠ, M Vochozka… - Acta Montanistica …, 2022 - researchgate.net
Copper and aluminium prices have long been influenced mainly by non-renewable
resources and the industry's widespread use of copper and aluminium for their desired …

Analysis of the determinants of agriculture performance at the European Union level

O Coca, D Creangă, Ș Viziteu, IS Brumă, G Ștefan - Agriculture, 2023 - mdpi.com
In the context of the increase in energy prices and, as a consequence, on other inputs on the
global and European market, the study aims to analyze the performance of the European …

Estimation of concrete materials uniaxial compressive strength using soft computing techniques

MR Raju, M Rahman, MM Hasan, MM Islam, MS Alam - Heliyon, 2023 - cell.com
This study addresses a critical gap in concrete strength prediction by conducting a
comparative analysis of three deep learning algorithms: convolutional neural networks …

Lateralization difference in functional activity during Stroop tasks: a functional near-infrared spectroscopy and EEG simultaneous study

Z Chen, X Ji, T Li, C Gao, G Li, S Liu, Y Zhang - Frontiers in Psychiatry, 2023 - frontiersin.org
Introduction Conflict monitoring and processing is an important part of the human cognitive
system, it plays a key role in many studies of cognitive disorders. Methods Based on a …

FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces

J Bi, F Wang, J **, G Qu, F Hu, H Li, S Han - … Signal Processing and …, 2024 - Elsevier
Background and objective: Electroencephalogram (EEG) emotion recognition is increasingly
popular for visualizing and quantifying brain networks, with potential applications in medical …

Ultrasonic in-situ measurement method and error analysis of wear of PEEK water-lubricated bearing materials

F Hu, C Ning, W Ouyang - Measurement, 2023 - Elsevier
Water-lubricated polymer bearing is the key component to guarantee the function of ship
propulsion systems, nuclear main pumps, hydraulic turbines and other important equipment …