Schematic representation of the methodology used to evaluate the ML algorithms for predicting the relative density, surface roughness, and hardness of AlSi10Mg parts produced using... by Fatma Alamri (20855088)

Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

A Dataset of Curie and Neel Temperatures auto-generated with ChemDataExtractor and the Snowball Algorithm by Charles Kelly (21712413)

Node coding process. by Jun Zhao (59250)

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Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty by Jenniffer Sobeida Moreira Choez (16933539)

“…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …”

The terms used in the database search. by Xinrui Li (443177)

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Health assessment process diagram. by Xin Xie (311744)

“…Therefore, based on the health assessment algorithm, a new optimized Informer model is proposed to predict SOC. …”

Proposing sequence genetic distances with a local greedy algorithm when genomic sampling data is available for a transmission pair. by Hannah Waddel (21520023)

“…<p>The local greedy algorithm we use respects the infinite-sites assumption for mutations adjacent to the proposed exposure time . …”

Effect of data generalization. by Severin Elvatun (20606218)

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Synthetic data uility. by Severin Elvatun (20606218)

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Schematic representation of the setup for data collection. by Isabel Barradas (20614853)

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The schematic diagram of fault diagnosis process. by Jialiang Zhang (1574704)

“…In this study, the harmonic signal is used as an input to estimate the GFRFs. To improve the estimation accuracy, the GFRFs of an analog circuit are solved directly using time-domain data. …”

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... by Aninda Astuti (21736334)

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... by Aninda Astuti (21736334)

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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S8 Data - by Shehr Bano (20421706)

S6 Data - by Shehr Bano (20421706)

S5 Data - by Shehr Bano (20421706)

S17 Data - by Shehr Bano (20421706)

S11 Data - by Shehr Bano (20421706)