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School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20
Published 2023“…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. …”
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A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques
Published 2022“…Also, Python is the most commonly used one for phishing email detection. …”
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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
Published 2022“…The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. …”
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RDFFrames: knowledge graph access for machine learning tools
Published 2021“…This is due to the mismatch between SPARQL and machine learning tools in terms of data model and programming style. Machine learning tools work on data in tabular format and process it using an imperative programming style, while SPARQL is declarative and has as its basic operation matching graph patterns to RDF triples. …”
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KNNOR: An oversampling technique for imbalanced datasets
Published 2021“…The proposed method is easy to use and has been made open source as a python library.…”
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Arabic Educational Neural Network Chatbot
Published 2023“…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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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
Published 2025“…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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Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic
Published 2025“…</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. …”
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Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study
Published 2020“…</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. …”
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Transforming Towards Secure Global Trade for Customs Administrations Powered by Blockchain
Published 2020“…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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