يعرض 1 - 20 نتائج من 13,961 نتيجة بحث عن '(( significantly faster increased ) OR ( significantly ((alter decrease) OR (larger decrease)) ))', وقت الاستعلام: 1.74s تنقيح النتائج
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    Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. حسب Udaysankar Chockanathan (18510288)

    منشور في 2024
    "…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 305 units from 5 recording sessions, n<sub>shuffled</sub> = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 180 units from 4 recording sessions, n<sub>shuffled</sub> = 18000 simulated units from 4 recording sessions). …"
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    PDLD mice run significantly longer, farther, and faster than controls. حسب Scott Birks (20297863)

    منشور في 2024
    "…<p><b>A)</b> Exercise regimen timeline schematic <b>B)</b> Body mass steadily increased throughout exercise intervention with no significant difference between groups. …"
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    The structure of FasterNext. حسب Junjie Lu (160350)

    منشور في 2025
    "…To address this issue, this paper proposes FCMI-YOLO, a real-time fire detection algorithm optimized for edge devices. Firstly, the FasterNext module is proposed to reduce computational cost and enhance detection precision through lightweight design. …"
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    Faster-RCNN. حسب Junyan Wang (4738518)

    منشور في 2025
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    Parameters of the FasterNext and C3. حسب Junjie Lu (160350)

    منشور في 2025
    "…To address this issue, this paper proposes FCMI-YOLO, a real-time fire detection algorithm optimized for edge devices. Firstly, the FasterNext module is proposed to reduce computational cost and enhance detection precision through lightweight design. …"
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    The network structure of FasterNet--YOLO. حسب Shiwei Yu (6060308)

    منشور في 2025
    "…The results indicated that when comparing FasterNet-YOLO with the original model, the parameters were reduced by 49.4%, GFLOPs were reduced by 57.0%, mAP increased by 6.2%, and FPS increased by 54.1%. …"
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    S1 Data - حسب Sang-Soo Choi (11820298)

    منشور في 2021
    الموضوعات:
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