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Showing 1 - 20 results of 34 for search '(( significant eeg based ) OR ( significant ((i.e decrease) OR (teer decrease)) ))', query time: 0.10s Refine Results
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    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

    Published 2021
    “…<p dir="ltr">Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. …”
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    Graphical Insight: Revolutionizing Seizure Detection with EEG Representation by Muhammad Awais (263096)

    Published 2024
    “…This method effectively addresses EEG data processing challenges. We construct a graph representation of EEG signals by extracting features such as frequency-based, statistical-based, and Daubechies wavelet transform features. …”
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    Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion by Abu Farha, Nadia

    Published 2022
    “…The overall results showed that vigilance is a brain region specific and the fusion of EEG+and Eye tracking data using CCA has significantly improved the classification accuracy of vigilance levels assessment.…”
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    EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation by Badr, Yara

    Published 2025
    “…This study addresses limitations in EEG-based stress detection research by developing a novel approach to differentiate multiple mental states in different stress baseline population samples. …”
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    The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review by Uzair Shah (15740699)

    Published 2022
    “…Brain–computer interfaces (BCI) can support people who have issues with their speech or who have been paralyzed to communicate with their surroundings via brain signals. Therefore, EEG signal-based BCI has received significant attention in the last two decades for multiple reasons: (i) clinical research has capitulated detailed knowledge of EEG signals, (ii) inexpensive EEG devices, and (iii) its application in medical and social fields. …”
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    Cognitive Vigilance Enhancement using Audio Stimulation of Pure Tone at 250 Hz by Yahya, Fares

    Published 2021
    “…The entropy measures show that the temporal profile of the EEG signals has significantly increased with VE. …”
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    A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

    Published 2024
    “…In this regard, engineering of brighter bioluminescent proteins, i.e. luciferases, has played a significant role. …”
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    An enhanced ensemble deep random vector functional link network for driver fatigue recognition by Ruilin Li (5627456)

    Published 2023
    “…<p>This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL network from raw EEG signals, two strategies were exploited in this work. …”
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    Walking around the preferred speed: examination of metabolic, perceptual, spatiotemporal and stability parameters by Lina Majed (7485380)

    Published 2024
    “…While metabolic, perceptual and spatiotemporal values were sensitive to the smallest change in speed (i.e., 0.5 km·h<sup>−1)</sup>, a significant increase in the rate of carbohydrate oxidation and decrease in % fat oxidation were only observed at speeds above PWS. …”
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    Release of colloids in saturated porous media under transient hydro-chemical conditions: A pore-scale study by Safna Nishad (16932474)

    Published 2021
    “…Favorable, medium-favorable and unfavorable colloids (i.e., repulsion absent, repulsion at long-range of separation distances and attraction absent with the micromodel surface, respectively) were deposited in the micromodel and then a series of colloid release experiments were conducted at different conditions including increasing the flow rate, decreasing the ionic strength and increasing the solution pH. …”
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    Inappropriate Medication Use in Elderly Lebanese Outpatients by Saab, Yolande B.

    Published 2006
    “…Courses of therapy that were judged inappropriate were further classified according to the specific area of inappropriate use (i.e. Beers’ criteria, duplicate therapy, indication, dose, dose frequency including missing doses, duration and discontinuation of therapy, adverse effects, drug-drug and/or drug-disease interactions, and poor memory). …”
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