Distribution of clinical pathological features in training and testing sets. by Jingru Dong (14076094)

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Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. by Abeer Aljohani (18497914)

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Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Critical values in percentage for UACI Randomness test. by Nasreen Zulfiqar (21601226)

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Critical values in percentage for NPCR Randomness test. by Nasreen Zulfiqar (21601226)

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Flowchart diagram illustrating the data analysis process using machine learning models. by Aline Xavier Ferraz (19544919)

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Training and Testing Set for HRDsig Algorithm Development. by Wenshu Li (762627)

The confusion matrix of the models in the test set. by Jingru Dong (14076094)

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Hypothesis testing of CPM dataset. by Gaurav Sandeep Dave (21519884)

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The weight optimization process. by Guomei Cui (20721578)

“…Secondly, an optimized machine learning algorithm based on decision tree is adopted. It combines the advantages of Random Forest (RF) and Gradient Boosting Tree (GBT), and improves the accuracy and efficiency of the model in sprint pattern recognition by adaptively adjusting the hyperparameter and tree structure. …”

Image of CMOS-based device and implantation schematic. by Virgil Christian Garcia Castillo (19688355)

Subjects: “…interest determination algorithm…”

The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. by Abeer Aljohani (18497914)

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Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification by Gyeo-Re Han (8158410)

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Code and data for "A reduced-scale adaptive morphing vehicle prototype with enhanced aerodynamic efficiency" by Peng Zhang (16789041)

“…<p dir="ltr">This dataset contains:</p><ul><li>CAD files for the design and fabrication of the proposed adaptive morphing vehicle prototype;</li><li>Computer programs for genetic-algorithm-based autonomous optimization;</li><li>Raw data acquired in the wind tunnel experiments for demonstrating and validating the morphing vehicle prototype and optimization algorithm; and</li><li>Computer codes for post-processing and visualizing raw data.…”

GA process. by Jianpeng Zhang (528185)

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UACI Randomness test in comparison with theoretical (critical) values. by Nasreen Zulfiqar (21601226)

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NPCR Randomness test in comparison with theoretical (critical) values. by Nasreen Zulfiqar (21601226)

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Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)

The parametric study of the confusion matrix values for different proportion of test samples vs number of nodes from the spectral space. by Abeer Aljohani (18497914)

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