Showing 1 - 20 results of 70 for search '(( mitigating small decrease ) OR ( ct ((largest decrease) OR (larger decrease)) ))', query time: 0.44s Refine Results
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    Data and code from: Continental declines in North American small mammal populations by Alec Medd (20968740)

    Published 2025
    “…In particular, we need further work to uncover the causes and consequences of small mammal declines, and to develop mitigation strategies to avoid further declines North American small mammals.…”
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    Flow chart with steps of conducting the study. by Athira Satheesh Kumar (20570553)

    Published 2025
    “…Our numerical analysis indicates that, over time, the temperature anomaly becomes less affected by the variations in rumor propagation parameters, and having larger groups (having more members) is more efficient in reducing temperature (by efficiently propagating rumors) than having numerous small groups. It is observed that decreasing the number of individual connections does not reduce the size of the rejector population when there are large numbers of messages sent through groups. …”
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    Summary of previous work. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    YOLO11. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Comparative experimental results. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Algorithm operation steps. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    SCI-YOLO11. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Dataset for insulator defect detection. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    YOLOV8. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Faster-RCNN. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Results of ablation experiments. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”