Fracture pressure based on proposed GPR Poisson’s ratio model. حسب Fahd Saeed Alakbari (10701871)

الموضوعات:

Comparison of ν_s measured and predicted estimates of the optimized GPR approach for (a) training, (b) validation, and (c) testing datasets. حسب Fahd Saeed Alakbari (10701871)

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Few-Shot Symbol Detection in Engineering Drawings حسب Laura Jamieson (19759235)

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Image 2_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg حسب Xiuping Xuan (8686266)

Image 1_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg حسب Xiuping Xuan (8686266)

Image 3_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg حسب Xiuping Xuan (8686266)

The inactivation of the acetyl-CoA acyltransferase 1 enzyme by the novel putative miRNA Oeu124369 leads to a decrease in Acetyl-CoA production and additionally, the deactivation of... حسب Mohammad Hossein Pakdel (19837942)

Process mining, combined with decision tree analysis using machine learning, can reveal insights into various process inefficiencies, such as rework. حسب Mohammad Bakhtiari (11838264)

Data Sheet 1_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv حسب Xiuping Xuan (8686266)

Data Sheet 4_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv حسب Xiuping Xuan (8686266)

Data Sheet 6_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv حسب Xiuping Xuan (8686266)

Data Sheet 3_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv حسب Xiuping Xuan (8686266)

Data Sheet 2_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv حسب Xiuping Xuan (8686266)

Data Sheet 5_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv حسب Xiuping Xuan (8686266)

DataSheet1_Predicting temporomandibular disorders in adults using interpretable machine learning methods: a model development and validation study.pdf حسب Yuchen Cui (5896310)

"…</p>Methods<p>A total of 949 adults who underwent oral examinations were enrolled in our study. 5 different ML algorithms were used for model development and comparison, and feature selection was performed by feature importance ranking and feature decreasing methods. …"

Performance comparison of the proposed model on the cotton leaf disease dataset [76] against State-of-the-Art methods for robustness evaluation. حسب Afira Aslam (21433666)

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Data Sheet 1_A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers.pdf حسب Ephrem Tibebe Mekonnen (19710493)

"…On the other hand, adapting these methods to explain deep learning-based time series classifiers may not be straightforward due to the temporal nature of time series data. …"

This decision-making and root cause analysis demonstration employs decision mining with machine learning and Petri Net, for example, in the manuscript, featuring annotated decision... حسب Mohammad Bakhtiari (11838264)

Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... حسب Hua Huo (1818133)

Confusion matrix of model diagnosis result. حسب Yang Guo (399435)

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