K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation حسب Ashhadul Islam (16869981)

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

"…</p><h3>Methods</h3><p dir="ltr">Using Python® programming language, this study employed various supervised machine-learning algorithms, including parametric probabilistic models, such as logistic regression, and non-parametric models, including decision trees, random forest (RF), extra trees, AdaBoost, and k-nearest neighbours (KNN), using a dataset of non-transported patients (refused transport and did not receive treatment versus those who refused transport and received treatment) between 2018 and 2022. …"

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. …"

A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques حسب SALLOUM, SAID

"…Also, Python is the most commonly used one for phishing email detection. …"
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Arabic Educational Neural Network Chatbot حسب A. Alazzam, Bayan

"…To begin implementing the chabot, we collected datasets from Arabic educational websites and had to prepare these data using the NLP methods. We then used this data to train the system using a neural network model to create an Arabic neural network chabot. …"
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A study on Speaker Recognition System حسب Bakkar, Hazem Wa'il Mohammed

"…The proposed system was mainly developed using Python (Python.org, 2015). This system was used to implement and study several methods and techniques in speaker recognition domain. …"
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Closed-form Exact and Asymptotic Expressions for the Symbol Error Rate and Channel Capacity of the H-function Fading Channel حسب Alhennawi, Husam R.

"…The derived exact expressions are given in terms of the univariate and multivariate Fox H functions for which we provide a portable and efficient Python code. Since the Fox's H-function fading channel represents the most generalized fading model ever presented in the literature, the derived expressions subsume most of those previously presented for all the known simple and composite fading models. …"
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RDFFrames: knowledge graph access for machine learning tools حسب Aisha Mohamed (5152970)

"…Surprisingly, machine learning tools for knowledge graphs do not use SPARQL, despite the obvious advantages of using a database system. …"

Investigation of Forming a Framework to shortlist contractors in the tendering phase حسب DABASH, MOHANNAD SALAH

"…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …"
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Design of an integrated system that combines the steam gasification of plastic waste and a solid oxide fuel cell for sustainable power generation حسب Khaled Abouemara (17823416)

"…The second is a H₂ driven SOFC system that generates electricity and is developed using Python. The study evaluates the combined system output in terms of power, current and voltage based on variation of temperature, steam/feed ratio (0.5–2), and CaO/feed ratio (0–1.5) of the gasifier. …"

KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

"…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"

Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD حسب Aziz Mehmood Farooqi (20748788)

"…A multi-directed graph structure is used to represents the complex interactions among the narrators of Hadith. …"

A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data حسب Edin Salkovic (16891479)

"…<p>The Negative Binomial distribution (NBD) is used for modeling many types of count data, including gene expression counts obtained by RNA sequencing technologies (RNA-Seq). …"