School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20 by Mohammed H. Al‐Thani (21406742)

“…In the beginning, growth monitoring programs were introduced to identify the extent of undernutrition among children, which were later considered equally useful in the identification of overweight and obesity among school age children. …”

Arabic Educational Neural Network Chatbot by A. Alazzam, Bayan

“…Data was gathered and saved in a json file. 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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RDFFrames: knowledge graph access for machine learning tools by Aisha Mohamed (5152970)

“…We posit that a good interface to knowledge graphs from a machine learning software stack should use an imperative, navigational programming paradigm based on graph traversal rather than the SPARQL query paradigm based on graph patterns. …”

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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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)

“…The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. …”

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. …”

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. …”

Transforming Towards Secure Global Trade for Customs Administrations Powered by Blockchain by Abunqira, Hussam

“…To build this solution, a proof of concept (PoC) approach is followed using the IBM Hyperledger fabric and Python programming language. …”
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