Dynamic analysis of LFWOA for different population sizes. حسب Fizza Shafique (19996292)

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Blue plain histogram. حسب Ye Tao (326899)

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Green plain histogram. حسب Ye Tao (326899)

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Red cipher histogram. حسب Ye Tao (326899)

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Red plain diagonal correlation. حسب Ye Tao (326899)

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T-test for PSO_w vs. WOA. حسب Fizza Shafique (19996292)

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Curve of sensorless BLDC motor’s speed controlled by PSO_w-PI for different search agents. حسب Fizza Shafique (19996292)

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Wilcoxon signed-rank test for PSO vs. WOA. حسب Fizza Shafique (19996292)

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The difference between Fig 67 and Fig 68. حسب Ye Tao (326899)

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Blue cipher vertical correlation. حسب Ye Tao (326899)

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T-test for CMLFWOA vs. WOA. حسب Fizza Shafique (19996292)

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Mean rank comparison between APSO vs. WOA. حسب Fizza Shafique (19996292)

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Curve of sensorless BLDC motor’s speed controlled by ACO for different search agents. حسب Fizza Shafique (19996292)

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Data Sheet 2_Mitochondrial non-coding RNAs as novel biomarkers and therapeutic targets in lung cancer integration of traditional bioinformatics and machine learning approaches.csv حسب Liu Haoming (22524473)

"…Background<p>Lung cancer diagnosis requires cost-effective biomarkers. Mitochondrial non-coding RNAs (mtRNAs) represent unexplored diagnostic targets.…"

Data Sheet 1_Mitochondrial non-coding RNAs as novel biomarkers and therapeutic targets in lung cancer integration of traditional bioinformatics and machine learning approaches.csv حسب Liu Haoming (22524473)

"…Background<p>Lung cancer diagnosis requires cost-effective biomarkers. Mitochondrial non-coding RNAs (mtRNAs) represent unexplored diagnostic targets.…"

Deep Learning-Based Multi-Scale Bubble Detection and Feature Analysis حسب Lichun Bai (6684683)

"…To address this issue, this paper proposes a multiscale bubble detection algorithm, ATS-YOLO, based on YOLOv10. In the backbone network of the model, an attention mechanism that integrates multiscale features and global contextual information is constructed. …"

Smart contract and platform functions mapping. حسب Albatoul Almohana (20370514)

Model performance with different sparsity rates. حسب Zhongjian Xie (4633099)

"…The macro-detection algorithm is named P-YOLOv5s-GRNF. Its improvement strategies include adopting pruning techniques, the GSConv, receptive field attention convolution (RFAConv), normalization-based attention module (NAM), and the Focal-EIOU Loss module. …"

Comparison of different lightweight models. حسب Zhongjian Xie (4633099)

"…The macro-detection algorithm is named P-YOLOv5s-GRNF. Its improvement strategies include adopting pruning techniques, the GSConv, receptive field attention convolution (RFAConv), normalization-based attention module (NAM), and the Focal-EIOU Loss module. …"

Pruning process. حسب Zhongjian Xie (4633099)

"…The macro-detection algorithm is named P-YOLOv5s-GRNF. Its improvement strategies include adopting pruning techniques, the GSConv, receptive field attention convolution (RFAConv), normalization-based attention module (NAM), and the Focal-EIOU Loss module. …"