Ratio Indexes based on spectral electroencephalographic brainwaves for assessment of mental involvement: A systematic review

I Marcantoni, R Assogna, G Del Borrello, M Di Stefano… - Sensors, 2023 - mdpi.com
Background: This review systematically examined the scientific literature about
electroencephalogram-derived ratio indexes used to assess human mental involvement, in …

Temperature prediction using multivariate time series deep learning in the lining of an electric arc furnace for ferronickel production

JX Leon-Medina, J Camacho, C Gutierrez-Osorio… - Sensors, 2021 - mdpi.com
The analysis of data from sensors in structures subjected to extreme conditions such as the
ones used in smelting processes is a great decision tool that allows knowing the behavior of …

A comparative antimicrobial and toxicological study of gold (III) and silver (I) complexes with aromatic nitrogen-containing heterocycles: synergistic activity and …

ND Savić, DR Milivojevic, BĐ Glišić, T Ilic-Tomic… - RSC …, 2016 - pubs.rsc.org
Five aromatic nitrogen-containing heterocycles, pyridazine (pydz, 1), pyrimidine (pm, 2),
pyrazine (pz, 3), quinoxaline (qx, 4) and phenazine (phz, 5) have been used for the …

Casting improvement based on metaheuristic optimization and numerical simulation

R Radiša, N Dučić, S Manasijević… - Facta Universitatis …, 2017 - casopisi.junis.ni.ac.rs
This paper presents the use of metaheuristic optimization techniques to support the
improvement of casting process. Genetic algorithm (GA), Ant Colony Optimization (ACO) …

THE STUDY AND THE MECHANISM OF NITROGEN OXIDES'FORMATION IN COMBUSTION OF FOSSIL FUELS

B Ongar, IK Iliev, V Nikolić… - Facta Universitatis …, 2018 - casopisi.junis.ni.ac.rs
The burning of all fossil fuels is accompanied by the production of large quantities of
nitrogen oxides. Nitrogen oxide from coal combustion is formed from the molecular nitrogen …

EEG correlates of driving performance

TG Simpson, K Rafferty - IEEE Transactions on Human …, 2022 - ieeexplore.ieee.org
Techniques for monitoring human performance traditionally rely on subjective responses
and task-specific scoring, yet research suggests EEG could offer multiple performance …

Improving the mechanical characteristics of the 3D printing objects using hybrid machine learning approach

I Milićević, M Popović, N Dučić… - Facta Universitatis …, 2022 - casopisi.junis.ni.ac.rs
Production of three-dimensional parts in 3D printing process gains growing importance in
various fields, such as: aviation and car industry, architecture, medicine, dentistry, etc …

A Review of HRV and EEG Technology Applications in Industry 5.0: Emphasising Manufacturing Efficiency and Worker Well-Being

S Chulakit, AS Sadun, NA Jalaludin… - International …, 2024 - publisher.uthm.edu.my
This review paper examines the role of physiological monitoring techniques in the
manufacturing industry, particularly through the use of Heart Rate Variability (HRV) and …

[PDF][PDF] Physiological Indicators for Real-Time Detection of Operator's Attention

B Bjegojevic, MC Leva, S Cromie, N Balfe - 2022 - researchgate.net
Attention is a safety-critical operator ability that needs to be sustained over the course of
specific tasks. However, many internal factors (eg: cognitive underload or overload, fatigue …

[PDF][PDF] Machine Learning and Electroencephalography for Enhanced Learning in Human-Computer Interaction

TGS BEng - 2022 - pure.qub.ac.uk
Human-computer interaction has become fundamental to modern society. Improvements in
this field have extensive potential across a number of important application domains, such …