Data for Figs 3–9. by Xiaogang Li (299205)

Subjects:

Vibration Nondestructive Testing of Continuous Welded Rails: A Finite Element Analysis by Alireza Enshaeian (20360253)

“…<p>This paper presents a finite element model for the dynamic vibration of continuous-welded rails (CWR) under different longitudinal stresses and base conditions. The model supports the physical principles of a vibration-based nondestructive testing (NDT) technique aimed at inferring the lateral and vertical strength, and the neutral temperature of CWR. …”

<b>MACEDONIA OS: A Unified Scalar Field-Based Consciousness and Operating System Architecture</b> by Jeffrey Siergiej (20937434)

Raw data. by Soheil Mohammadi (12468952)

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Periodic Table’s Properties Using Unsupervised Chemometric Methods: Undergraduate Analytical Chemistry Laboratory Exercise by Adrian Gabriel Pereira de Quental (20382423)

Subjects:

Periodic Table’s Properties Using Unsupervised Chemometric Methods: Undergraduate Analytical Chemistry Laboratory Exercise by Adrian Gabriel Pereira de Quental (20382423)

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Algorithm comparison test results. by Hang Ren (1312905)

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

Subjects:

Performance analysis of 500kW solar PV plant based on machine learning algorithms by Karthikeyan Balachandran (20410999)

“…Real-time experimental data, collected from November 2021 to October 2022, was used to enhance the operational efficiency of the solar PV system. …”

Wilcoxon signed-rank test results. by Mohd Sakib (20565228)

“…These selected features are then used to train three base learners: Long Short-Term Memory (LSTM), Bi-directional Long Short-Term Memory (BiLSTM), and Gated Recurrent Unit (GRU). …”

Statistical randomness test results. by Nasreen Zulfiqar (21601226)

“…<div><p>A wide range of mathematical constructs, theories, and algorithms have been leveraged by cryptographers to secure valuable and sensitive digital images. …”

Partial results of the chi-square test. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Bivariate analysis using line plot for casing, bearing & impeller vs pressure. by Gaurav Sandeep Dave (21519884)

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Bivariate analysis using bar plot for pressure, current & voltage vs condition. by Gaurav Sandeep Dave (21519884)

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Algorithm testing environment settings. by Hua Song (113155)

The errors of the predictions based on different algorithm methods. by Zhang Wei (317854)

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

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Solar irradiance dataset. Weather dataset used in this study. by Muhammad Sadiq (9449915)

Subjects:

Data Sheet 1_ECG-based beat-to-beat assessment of AV node conduction properties during AF.pdf by Mattias Karlsson (2674390)

“…</p>Methods<p>To estimate AV nodal conduction properties with beat-to-beat resolution, we propose a methodology comprising a network model of the AV node, a particle filter, and a smoothing algorithm. The methodology was evaluated using simulated data and using synchronized electrogram (EGM) and ECG recordings from five patients in the intracardiac atrial fibrillation database. …”

Model comparison between our model-free algorithm (here MF*) and SARSA. by Carlos A. Velázquez-Vargas (19751567)

“…We evaluated the models in the data of Experiment 1 and Experiment 2 using AIC and BIC differences and testing if they were different from zero using the Wilcoxon signed-rank test. …”