Description of fault types in the RP-1043 dataset. حسب Yang Guo (399435)

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Schematic diagram of chiller units [25]. حسب Yang Guo (399435)

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Confusion matrix diagram. حسب Yang Guo (399435)

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<i>AR</i> of the seven benchmark fault diagnosis model. حسب Yang Guo (399435)

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Model comparison analysis results. حسب Yang Guo (399435)

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<i>AR</i> of LSSVM with different optimization algorithms. حسب Yang Guo (399435)

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Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf حسب Upinder Kaur (10805317)

"…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …"

Data Sheet 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.zip حسب Upinder Kaur (10805317)

"…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …"

Table 1_Intra-tumor and peritumoral radiomics and deep learning based on ultrasound for differentiating fibroadenoma and phyllodes tumor: a multicenter study.docx حسب Guoxiu Lu (15393095)

"…Purpose<p>To develop and validate an integrated intra-tumoral (ITR) and peritumoral (PTR) radiomics-deep learning model based on ultrasound (US) imaging for accurately differentiating fibroadenomas (FA) from phyllodes tumors (PT) and further classifying PT into benign, borderline, and malignant subtypes.…"

The comparison of ν_s – DTs trends models with experimental measured values for RHOB = 2.72 g/cc and DTc = 51.47 us/ft. حسب Fahd Saeed Alakbari (10701871)

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Error boxplot and violin graphs for the previously published and proposed GPR models. حسب Fahd Saeed Alakbari (10701871)

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The optimized GPR approach’s cross-plotting for the testing dataset. حسب Fahd Saeed Alakbari (10701871)

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Residual error of fracture pressure for all studied models. حسب Fahd Saeed Alakbari (10701871)

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Group error analysis of bulk formation density for the proposed GPR and some previous approaches. حسب Fahd Saeed Alakbari (10701871)

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Trend analysis of the ν_s – DTs in the range found in the dataset used for the optimized GPR. حسب Fahd Saeed Alakbari (10701871)

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The optimized GPR approach’s error histogram of the training dataset. حسب Fahd Saeed Alakbari (10701871)

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The optimized GPR approach’s errors histogram of the testing dataset. حسب Fahd Saeed Alakbari (10701871)

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Group error analysis of shear time for the proposed GPR and some previous approaches. حسب Fahd Saeed Alakbari (10701871)

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The comparison of ν_s – DTc trends models with experimental measured values for RHOB = 2.27 g/cc and DTs =  248.99 us/ft. حسب Fahd Saeed Alakbari (10701871)

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The optimized parameters of the proposed GPR method. حسب Fahd Saeed Alakbari (10701871)

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