-
1681
Detection results for the migrated application.
منشور في 2025"…<div><p>In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …"
-
1682
Revised yolov8 training process.
منشور في 2025"…<div><p>In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …"
-
1683
YOLOv8 improved network structure diagram.
منشور في 2025"…<div><p>In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …"
-
1684
Industrial smoke vapor.
منشور في 2025"…<div><p>In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …"
-
1685
All online review text data.
منشور في 2025"…Kernel density and standard deviational ellipse methods revealed the spatio-temporal evolution of museum space preferences (2016–2024). TF-IDF and LDA algorithms identified key image perception themes. Visitor satisfaction was then evaluated with SnowNLP sentiment analysis to examine the dynamic correlation between the perception themes and satisfaction. …"
-
1686
-
1687
-
1688
Summary of previous work.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1689
Comparison of MAP@0.5 results from experiments.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1690
YOLO11.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1691
Structure of the SCI-YOLO11 network.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1692
Comparative experimental results.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1693
SCI-YOLO11.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1694
Dataset for insulator defect detection.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1695
YOLOV8.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1696
Faster-RCNN.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1697
Results of ablation experiments.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1698
Structure diagram of SPDConv.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1699
Wise-IOU regression diagram.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"
-
1700
Visualization of detection results.
منشور في 2025"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"