بدائل البحث:
"element method algorithm" » "element network algorithm" (توسيع البحث), "element means algorithm" (توسيع البحث), "element mean algorithm" (توسيع البحث), "elements method algorithm" (توسيع البحث)
"neural coding algorithm" » "neural cosine algorithm" (توسيع البحث), "neural modeling algorithm" (توسيع البحث), "neural finding algorithm" (توسيع البحث)
"element method algorithm" » "element network algorithm" (توسيع البحث), "element means algorithm" (توسيع البحث), "element mean algorithm" (توسيع البحث), "elements method algorithm" (توسيع البحث)
"neural coding algorithm" » "neural cosine algorithm" (توسيع البحث), "neural modeling algorithm" (توسيع البحث), "neural finding algorithm" (توسيع البحث)
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41
Results.cxv.
منشور في 2025"…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…"
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42
Precision Recall data.
منشور في 2025"…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…"
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43
The score of precision and recall.
منشور في 2025"…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…"
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44
Installation Process of a Window.
منشور في 2025"…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…"
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45
Real-time implementation of the proposed model.
منشور في 2025"…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…"
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46
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. …"
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47
FBD-SV-2024
منشور في 2024"…<p dir="ltr">The Flying Bird object Dataset in Surveillance Video (FBD-SV-2024) for surveillance video flying bird object detection algorithm development and performance evaluation.…"
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48
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. …"
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49
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. …"
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50
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. …"
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51
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. …"
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52
Image 1_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.tiff
منشور في 2025"…After 200 epochs, the recognition results of various object detection algorithms were compared to obtain the optimal model. …"
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53
Image 3_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.tiff
منشور في 2025"…After 200 epochs, the recognition results of various object detection algorithms were compared to obtain the optimal model. …"
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54
Algorithm operation steps.
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. …"
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55
Table 2_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.docx
منشور في 2025"…After 200 epochs, the recognition results of various object detection algorithms were compared to obtain the optimal model. …"
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56
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. …"
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57
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. …"
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58
Image 2_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.pdf
منشور في 2025"…After 200 epochs, the recognition results of various object detection algorithms were compared to obtain the optimal model. …"
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59
Table 3_DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.docx
منشور في 2025"…After 200 epochs, the recognition results of various object detection algorithms were compared to obtain the optimal model. …"
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60
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. …"