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881
Ablation Experiment GradCAM Heatmap.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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882
Space-to-depth convolution.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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883
Data augmentation.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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884
Side angle tea picking.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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885
Comparison results of ablation experiments.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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886
Table of dataset division.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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887
Striking image.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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888
Precision, recall, F1-Score curve.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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889
Model comparison experimental results.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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890
Improved YOLOv10 network structure.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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891
Different model detection results comparison.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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892
Inner-IoU.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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893
<b>A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment</b>
Published 2025“…Denoised BCG signal (Column 3), derived using the Enhanced Singular Value Thresholding (ESVT) algorithm.</p><p dir="ltr"><b>5 Signal visualization</b></p><p dir="ltr">(1) File name: signal.pdf</p><p dir="ltr">(2) Content: A graphical representation of the signals from signal.csv. …”
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894
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895
The Passive Voice in Artificial Intelligence Language: Algorithmic Neutrality and the Disappearance of Agency
Published 2025“…Abstract This article explores the use of passive voice in texts generated by artificial intelligence systems, examining how algorithmic language reproduces the illusion of neutrality by structurally erasing agency. …”
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896
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897
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898
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899
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900