[HTML][HTML] Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review
Many industrial processes, from manufacturing to food processing, incorporate rotating
elements as principal components in their production chain. Failure of these components …
elements as principal components in their production chain. Failure of these components …
RETRACTED ARTICLE: Neuro quantum computing based optoelectronic artificial intelligence in electroencephalogram signal analysis
With micrometre resolution, optical coherence tomography (OCT) is a noninvasive cross-
sectional imaging method. The centre wavelength and bandwidth of the light source define …
sectional imaging method. The centre wavelength and bandwidth of the light source define …
[HTML][HTML] Extraction of Coal Mine Surface Collapse Information and Design of Comprehensive Management Model Based on Multi-Source Remote Sensing—Taking …
J Peng, S Wang, Z Wang - Applied Sciences, 2024 - mdpi.com
Large-scale exploitation of underground mineral resources causes surface collapse,
reduces land use efficiency, and brings a series of ecological and environmental problems …
reduces land use efficiency, and brings a series of ecological and environmental problems …
Neurofeedback-Driven 6-DOF Robotic Arm: Integration of Brain-Computer Interface with Arduino for Advanced Control
Brain computer interface (BCI) applications in robotics are becoming more famous and
famous. People with disabilities are facing a real-time problem of doing simple activities …
famous. People with disabilities are facing a real-time problem of doing simple activities …
An Optimized Quadratic Support Vector Machine for EEG Based Brain Computer Interface
Sažetak The Brain Computer Interface (BCI) has a great impact on mankind. Many
researchers have been trying to employ different classifiers to figure out the human brain's …
researchers have been trying to employ different classifiers to figure out the human brain's …
[PDF][PDF] TS-DRN: An EEG Recognition Algorithm for Art Design Decisions Making.
L Shen, J Yang, M Xu, B Yang - IAENG International Journal of Computer …, 2024 - iaeng.org
Electroencephalogram (EEG) technology is vital in art design decisions making and has
become a prevalent research trend. However, With the temporal variability in EEG signals …
become a prevalent research trend. However, With the temporal variability in EEG signals …
Certain Investigation on Performance of Decomposition Algorithms in EEG-based Sleep Data Analysis
Sleep-related diseases have become a growing concern in contemporary society due to
their profound impact on health and well-being. The study of sleep disorders requires a …
their profound impact on health and well-being. The study of sleep disorders requires a …
[PDF][PDF] STRESSFEAT: A DYNAMIC FEATURE ENGINEERING APPROACH FOR IMPROVED SHORT TERM COGNITIVE STRESS CLASSIFICATION USING EEG
N Choudhury, D Das, R Ghosh, N Deb - researchgate.net
In the proposed work, a novel EEG feature engineering approach named as StressFeat has
been introduced to classify short-term cognitive stress. The SAM40 dataset has been …
been introduced to classify short-term cognitive stress. The SAM40 dataset has been …
[PDF][PDF] Zadání bakalářské práce
J Deng, J Guo, J Yang, N Xue, I Cotsia - IEEE Computer Society …, 2016 - theses.cz
Cieľom tejto bakalárskej práce bolo vytvoriť systém pre identifikáciu osôb pomocou obrazu
dúhovky. V práci sú popísané už existujúce metódy a postupy rozpoznávania osôb …
dúhovky. V práci sú popísané už existujúce metódy a postupy rozpoznávania osôb …