AUC and RMSE for single sensitive attribute. by Wei Liao (166135)

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Model performances. by Wei Liao (166135)

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eICU test results. by Wei Liao (166135)

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MIMIV-IV test results. by Wei Liao (166135)

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General architecture of XGBoost algorithm. by Saghir Ahmed (4416544)

Hyperparameters optimization of XGBoost algorithm. by Saghir Ahmed (4416544)

Comparing ML classifiers with modified decision tree (J48) accuracy by primary dataset class about DV findings. by Muhammad Asim Shahid (15285640)

Culture conversion of TB patients for training and testing data set. by Shaik Ahamed Fayaz (19859670)

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Coprime array with interpolated array elements. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Linear interpolation dimension expansion algorithm flowchart. by Yuhang Zhang (3144870)

Pose errors of 5PUS-RPUR robot with different algorithms. by Zesheng Wang (15244172)

Convergence curves for all algorithms. by Genliang Li (5816264)

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Parameter Settings for competitive algorithms. by Genliang Li (5816264)

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Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

Data resemblance. by Severin Elvatun (20606218)

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Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Comparison of TL and VL of different algorithms. by Guozhu Sui (21672798)

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The flowchart of GWO-VMD method. by Zhenjing Yao (22189970)

“…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”

Parallel HSMM algorithm structure. by Andrew McDonald (2307400)

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