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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm rate » algorithm based (Expand Search), algorithm a (Expand Search), algorithm ai (Expand Search)
rate function » brain function (Expand Search), a function (Expand Search), gene function (Expand Search)
algorithm its » algorithm i (Expand Search), algorithm etc (Expand Search), algorithm iqa (Expand Search)
its function » i function (Expand Search), loss function (Expand Search), cost function (Expand Search)
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Schematic diagram of MHSA mechanism.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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Improved FPN combined with PAN structure.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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YOLOv5s network structure.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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Improved YOLOv5s network structure.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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Improved YOLOv5s-DeepSORT network structure.
Published 2025“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”
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Test results of different algorithms.
Published 2025“…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …”
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Function graph and algorithm iterative graph.
Published 2024“…The IERWHO algorithm is an improved Wild Horse optimization (WHO) algorithm that combines the concepts of chaotic sequence factor, nonlinear factor, and inertia weights factor. …”
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