Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic حسب Hassan Farhat (9000509)

"…The random forest model demonstrated the best optimised predictive performance, with accuracy = 74.78%, F1 = 0.74, MCC = 0.35, ROC AUC = 0.81, kappa = 0.34, and R-squared = 0.81. …"

A study on Speaker Recognition System حسب Bakkar, Hazem Wa'il Mohammed

"…Another main goal for conducting this research is to make a scientific comparison between tools and methods that are related to speaker recognition domain, the following are the techniques that were studied : 1) Energy based tool and Long-Term Spectral Divergence (LTSD) in the preprocessing module of the system, 2) Mel Frequency Cepstral Coefficients (MFCC) and Linear Predictive Cepstral Coefficients (LPCC) in the feature extraction module, and 3) scikit-learn Gaussian Mixture Model (GMM), Universal Background Model (UBM), Continuous Restricted Boltzmann Machine (CRBM) and Joint Factor Analysis (JFA) in the recognition module. …"
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KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

"…The proposed method is easy to use and has been made open source as a python library.</p><h2>Other Information</h2> <p> Published in: Applied Soft Computing<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.asoc.2021.108288" target="_blank">https://dx.doi.org/10.1016/j.asoc.2021.108288</a></p>…"

Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques حسب Umesh Kumar Lilhore (17727684)

"…The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …"