Titlebook: Advances in Information Communication Technology and Computing; Proceedings of AICTC Vishal Goar,Manoj Kuri,Tomonobu Senjyu Conference proc

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Therapie der respiratorischen Insuffizienzecision-making and its impact on patient outcomes. A primary concern in this domain is the data quality that forms the basis for these models, which is essential for their effectiveness. While numerous studies are dedicated to leveraging Machine Learning (ML) to enhance patient care, a substantial g

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Therapie der respiratorischen Insuffizienz including education. As digital technologies advance, the potential of video games in cognitive development and learning processes has become a focal point of research. This study investigates the influence of various video game genres on the enhancement of cognitive skills. Focusing on investigati

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https://doi.org/10.1007/978-3-662-00177-6ite that necessitates frequent changes for both clients and the developer. The ultimate goal of the project is to uncover vulnerabilities in the relevant websites. Client-side submission of unexpected inputs is used for exploiting an extensive range of web application vulnerabilities. While it is ev

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Medikamentöse Therapie, Inhalationstherapiel career. The overall purpose of the study was to analyze the digitalization of educational resources in pre-tertiary education in Ghana: assessing impact, challenges, and opportunities in enhancing learning outcomes. In view of this, the study employed the mixed method approach where data was colle

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Medikamentöse Therapie, Inhalationstherapiehine communication and information change. This condition highlights the importance of developing meta-competence, which is more than just cognitive understanding, which is very much needed in today‘s rapidly developing society. Constructivist learning requires an educational shift away from rote le

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Technische Grundlagen der Beatmunging these functions closer to the source of data generation, fog computing extends the power of the cloud to the edge of the network. Fog computing existence within the healthcare sector has pivotal role in enhancing healthcare recommendation services and real-time monitoring capabilities. This stud

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Medikamentöse Therapie, Inhalationstherapie and deep learning models on datasets, both with and without SMOTE. Results show that models trained on data with SMOTE exhibited superior performance compared to models trained on non-SMOTE data. Results also show that among these models, the Light GBM which is a gradient-boosting framework Classif