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Performance of different algorithms.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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Experimental parameter settings.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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Experimental environment configuration.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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The network structure of our model.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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The structural layout of the Ghost module.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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The CBS structure improvement based on DSConv.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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Table 1_Intelligent deep learning architecture for precision vegetable disease detection advancing agricultural new quality productive forces.xlsx
منشور في 2025"…To tackle these challenges, this study proposes YOLO-vegetable, a high-precision detection algorithm based on improved You Only Look Once version 10 (YOLOv10). …"
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The improved C3STR structure.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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The defect images in the PCB defect dataset.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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The detection results of our model.
منشور في 2025"…This paper proposes a lightweight PCB defect detection algorithm based on YOLO. To address the problem of large numbers of parameters and calculations, GhostNet are used in Backbone to keep the model lightweight. …"
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Flowchart of the method.
منشور في 2025"…Leveraging the high spectral resolution of hyperspectral imagery and bi-temporal analysis, this study presents a Fast Hyperspectral Change Detection algorithm based on Spatial Reconstruction (FHCDSR) designed to identify subtle agricultural changes with improved accuracy and computational efficiency. …"
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coldChainDataD.
منشور في 2025"…A measurement anomaly detection algorithm based on the improved isolated forest algorithm is proposed. …"
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Schematic diagram of weld surface defects.
منشور في 2024"…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …"
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The pseudocode of the length calculation.
منشور في 2025"…A measurement anomaly detection algorithm based on the improved isolated forest algorithm is proposed. …"
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Data Sheet 1_Intelligent deep learning architecture for precision vegetable disease detection advancing agricultural new quality productive forces.csv
منشور في 2025"…To tackle these challenges, this study proposes YOLO-vegetable, a high-precision detection algorithm based on improved You Only Look Once version 10 (YOLOv10). …"
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Improved YOLOv7 network structure.
منشور في 2024"…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …"
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The pseudocode of the iTree.
منشور في 2025"…A measurement anomaly detection algorithm based on the improved isolated forest algorithm is proposed. …"