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

“…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. 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 by SALLOUM, SAID

“…Also, Python is the most commonly used one for phishing email detection. …”
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Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by 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. …”

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

“…The novel Bayesian model on which our score is based - OutPyRX (Outlier detection in Python for RNA-Seq, eXtended version) - improves the model of its predecessor OutPyR by introducing novel parameters that are derived from OutPyR's. …”

Fire detection and anti-fire system to enhance food security: A concept of smart agriculture systems-based IoT and embedded systems with machine-to-machine protocol by Morchid, Abdennabi

“…Python programming language is also used to develop the program source code. …”
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A study on Speaker Recognition System by 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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Investigation of Forming a Framework to shortlist contractors in the tendering phase by 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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Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study by Alaa Abd-Alrazaq (17430900)

“…</p><h3>Methods</h3><p dir="ltr">Leveraging a set of tools (Twitter’s search application programming interface (API), Tweepy Python library, and PostgreSQL database) and using a set of predefined search terms (“corona,” “2019-nCov,” and “COVID-19”), we extracted the text and metadata (number of likes and retweets, and user profile information including the number of followers) of public English language tweets from February 2, 2020, to March 15, 2020. …”

Arabic Educational Neural Network Chatbot by 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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Deep learning supported machine vision system to precisely automate the wild blueberry harvester header by Zeeshan Haydar (17541297)

“…The OpenCV AI Kit (OAK-D) was used with YOLOv4-tiny deep learning model with code developed in Python to solve the challenge of matching fruit heights with the harvester’s head position. …”

Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach by Arfan Ahmed (17541309)

“…</p><h3>Methods</h3><p dir="ltr">We analyzed 205,581 user review comments from chatbots designed for users with anxiety and depression symptoms. Using scraper tools and Google Play Scraper and App Store Scraper Python libraries, we extracted the text and metadata. …”

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

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