Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network by Tamil Selvi P. (19517590)

Covid-19 Spread Simulation based on control measures in UAE by Yaseen, Amer

“…In this thesis, a SEIR compartmental model is proposed and developed by python-based program in order to analyze the virus transmission between different model compartments. …”
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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. …”

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 code for our model is available at <a href="https://github.com/esalkovic/outpyrx" rel="nofollow">https://github.com/esalkovic/outpyrx</a>.…”

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

“…Using scraper tools and Google Play Scraper and App Store Scraper Python libraries, we extracted the text and metadata. …”

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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Closed-form Exact and Asymptotic Expressions for the Symbol Error Rate and Channel Capacity of the H-function Fading Channel by 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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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. …”

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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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. …”

Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment by Safak Bayram (16925975)

“…Spatial analysis is carried out by comparing their coverage performance with existing locations of the fast chargers. More specifically, the location problem is modelled as a maximum coverage location problem (MCLP) and solved using a geographic information system (GIS) based platform. …”

Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study by Alaa Abd-Alrazaq (17430900)

“…We leveraged latent Dirichlet allocation for topic modeling to identify topics discussed in the tweets. …”

RDFFrames: knowledge graph access for machine learning tools by Aisha Mohamed (5152970)

“…RDFFrames provides an imperative Python API that gets internally translated to SPARQL, and it is integrated with the PyData machine learning software stack. …”

Exploring the potential of onboard energy scavenging subsystems for generating valuable data by Raziq Yaqub (16488878)

“…This gathered data is seamlessly synchronized with GPS coordinates and timestamps, meticulously organized within a system architecture, and harnessed through meticulously crafted Python code. The wealth of data that we obtain from an onboard energy scavenging subsystem holds significant potential. …”

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

“…It further filters and analyzes the data using the MATLAB application. Python programming language is also used to develop the program source code. …”
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Bilingual AI-Driven Chatbot for Academic Advising by Bilquise, Ghazala

“…The conversational agent is built in Python and designed for students to support advising-related queries. …”
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Arabic Educational Neural Network Chatbot by A. Alazzam, Bayan

“…Finally, we programmed the chabot and the models in Python. As a consequence, an Arabic chatbot answers all questions about educational regulations in the United Arab Emirates.…”
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Digital Forensics Framework for Investigating Hyperledger Fabric Blockchain Networks by AL BARGHUTHI, NEDAA BAKER JAMIL

“…These techniques use a deployed Python-based Forensics Extractor Tool to automate the process. …”
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Numerical investigation of the potential of using hydrogen as an alternative fuel in an industrial burner by Rashed Al-ajmi (19932174)

“…CFD simulations in ANSYS Fluent utilized the RANS framework with the k-ε turbulence model and the mixture fraction/PDF approach. Supporting Python scripts and Cantera-based kinetic modeling employing the GRI-Mech 3.0 mechanism and Zeldovich pathways analyzed equivalence ratios (<i>Φ</i>), adiabatic flame temperatures (T_<em>ad</em> ), and NO_x formation mechanisms. …”