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Showing 221 - 240 results of 609 for search '(( significant decrease decrease ) OR ( significant attention decrease ))~', query time: 0.31s Refine Results
  1. 221
    Supplementary file 1_Influence of attentional state on EEG-based motor imagery of lower limb.docx

    Supplementary file 1_Influence of attentional state on EEG-based motor imagery of lower limb.docx by Penghai Li (19823646)

    Published 2025
    “…Cluster-based permutation testing confirmed that this α-band ERD difference was significant (corrected p < 0.05). Moreover, the TBR index proved to be an effective real-time metric, decreasing significantly under focused attention. …”
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  2. 222
    Image 1_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png

    Image 1_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…</p>Result<p>Examination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
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  3. 223
    Image 8_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png

    Image 8_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…</p>Result<p>Examination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
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  4. 224
    Image 6_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png

    Image 6_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…</p>Result<p>Examination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
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  5. 225
    Image 2_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png

    Image 2_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…</p>Result<p>Examination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
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  6. 226
    Image 7_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png

    Image 7_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…</p>Result<p>Examination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
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  7. 227
    Image 5_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png

    Image 5_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…</p>Result<p>Examination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
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  8. 228
    Image 4_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png

    Image 4_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…</p>Result<p>Examination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
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  9. 229
    Image 3_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png

    Image 3_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…</p>Result<p>Examination of eventrelated potentials (ERPs) demonstrated that P300 amplitude showed significant growth when responding to oddball stimuli, which indicates increased attention allocation (p < 0.05). …”
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  10. 230
    Modulating the Coordination Environment of Cu-Embedded Mo<i>X</i><sub>2</sub> (<i>X</i> = S, Se, and Te) Monolayers for Electrocatalytic Reduction of CO<sub>2</sub> to CH<sub>4</sub>: Unveiling the Origin of Catalytic Activity

    Modulating the Coordination Environment of Cu-Embedded Mo<i>X</i><sub>2</sub> (<i>X</i> = S, Se, and Te) Monolayers for Electrocatalytic Reduction of CO<sub>2</sub> to CH<sub>4</su... by Thamarainathan Doulassiramane (17382128)

    Published 2024
    “…Recently, single-atom catalysts (SACs) have attracted much attention in electrocatalysis and are more efficient than traditional metal-based catalysts. …”
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  11. 231
    RFAConv working principle.

    RFAConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  12. 232
    PConv working principle.

    PConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  13. 233
    Improvement of SPPF to SPPF-R process.

    Improvement of SPPF to SPPF-R process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  14. 234
    PR comparison on RSOD dataset.

    PR comparison on RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  15. 235
    Ablation study on the RSOD dataset.

    Ablation study on the RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  16. 236
    Structure and working principle of LI-YOLOv8.

    Structure and working principle of LI-YOLOv8. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  17. 237
    C2f-E improvement process.

    C2f-E improvement process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  18. 238
    Structure of Detect and GP-Detect.

    Structure of Detect and GP-Detect. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  19. 239
    YOLOv8 structure and working principle.

    YOLOv8 structure and working principle. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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  20. 240
    Improvement of CBS to CBR process.

    Improvement of CBS to CBR process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
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