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Showing 1 - 6 results of 6 for search '(( python source tool ) OR ((( python source code ) OR ( pathogenesis source model ))))', query time: 0.08s Refine Results
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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 by Morchid, Abdennabi

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

    Published 2022
    “…</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. …”
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    The microbiome-lymphoma Axis: A systematic review and Meta-analysis of gut Dysbiosis pattern in diffuse large B-cell lymphoma by Sarah A. Elkourashy (21632903)

    Published 2025
    “…Pooled odds ratios (OR) were calculated for mendelian randomization studies using random-effects models, and microbial shifts were analyzed at the species level to contextualize biological relevance. …”
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    Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

    Published 2024
    “…In this paper, four different tools were designed and constructed for modeling and analyzing narrative network such as python library (NetworkX), powerful graph database Neo4j and two different network analysis tools named Gephi and CytoScape. …”
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    Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study by Alaa Abd-Alrazaq (17430900)

    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. …”