بدائل البحث:
score detection » case detection (توسيع البحث), fire detection (توسيع البحث), stage detection (توسيع البحث)
multi score » multi core (توسيع البحث), multi scale (توسيع البحث), multi scene (توسيع البحث)
score detection » case detection (توسيع البحث), fire detection (توسيع البحث), stage detection (توسيع البحث)
multi score » multi core (توسيع البحث), multi scale (توسيع البحث), multi scene (توسيع البحث)
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Table 1_A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing...
منشور في 2025"…</p>Conclusion<p>Machine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …"
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Filter equalization enhancement algorithm flow.
منشور في 2025"…Experimental results show that the Precision, Recall, F1-score, mAP50 and FPS of the YOLOv8-DGS algorithm in pavement crack detection are 91.6%, 90%, 90.8%, 92.4% and 85 frames, respectively. …"
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Evalution factor of ours.
منشور في 2025"…<div><p>This study proposes an improved YOLOv8 model for vehicle and pedestrian detection in urban traffic monitoring systems. In order to improve the detection performance of the model, we introduced a multi-scale feature fusion module and an improved non-maximum suppression (NMS) algorithm based on the YOLOv8 model. …"
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Visualization results of our approach.
منشور في 2025"…<div><p>This study proposes an improved YOLOv8 model for vehicle and pedestrian detection in urban traffic monitoring systems. In order to improve the detection performance of the model, we introduced a multi-scale feature fusion module and an improved non-maximum suppression (NMS) algorithm based on the YOLOv8 model. …"
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Evalution factor of yolov8s.
منشور في 2025"…<div><p>This study proposes an improved YOLOv8 model for vehicle and pedestrian detection in urban traffic monitoring systems. In order to improve the detection performance of the model, we introduced a multi-scale feature fusion module and an improved non-maximum suppression (NMS) algorithm based on the YOLOv8 model. …"
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MFF’s overall structure.
منشور في 2025"…<div><p>This study proposes an improved YOLOv8 model for vehicle and pedestrian detection in urban traffic monitoring systems. In order to improve the detection performance of the model, we introduced a multi-scale feature fusion module and an improved non-maximum suppression (NMS) algorithm based on the YOLOv8 model. …"
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Diagram of the proposed network structure.
منشور في 2025"…<div><p>This study proposes an improved YOLOv8 model for vehicle and pedestrian detection in urban traffic monitoring systems. In order to improve the detection performance of the model, we introduced a multi-scale feature fusion module and an improved non-maximum suppression (NMS) algorithm based on the YOLOv8 model. …"
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Table 1_Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting.docx
منشور في 2025"…Multi-feature fusion combining colour, morphology, and texture descriptors was applied to improve segmentation robustness. …"
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Summary of the risk scores per district.
منشور في 2025"…Finally, we evaluated a test signal across all steps of our integrated framework to demonstrate the implementation of our multi-method approach.</p><p>Results</p><p>The result of the suspected case refinement algorithm for clinically defined syndromic cases was consistent with the laboratory-confirmed diagnosis (dengue yes or no). …"
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