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Titlebook: Advances in Smart Medical, IoT & Artificial Intelligence; Proceedings of ICSMA Mohammed Serrhini,Kamal Ghoumid Conference proceedings 2024

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Merkmale und Optionen von Gruppenarbeit,nsumption and smoking status were correlated with lower efficiency. Exercise frequency shows a slight positive correlation with sleep efficiency. This paper uses machine learning algorithms, including Linear Regression, Decision Tree, Random Forest, and Gradient Boosting Regressor to predict sleep e
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https://doi.org/10.1007/978-3-662-54644-4fall events. During the dry season, the uncleaned system (UN) experiences reduced efficiency, while the SWP system achieves the highest at 91.79%. Subsequent winter rain events lead to the UN system’s recovery, though it remains the least efficient. In contrast, the IGP system peaks in April at 85.4
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https://doi.org/10.1007/978-3-642-94667-7Absolute Error (MAE) values on the test sets. The study estimates that up to 429,629.88 normal cubic meters of oxygen could be produced in the period between November 2020 and August 2021, underscoring the advantages of adopting photovoltaic electrolysis for oxygen production in hospitals. This stud
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3004-958X technology, and research domains provide authoritative insights into the transformative potential of this synergy...As editors, we are proud to present a curated collection of contributions that reflect the lat978-3-031-66856-2978-3-031-66854-8Series ISSN 3004-958X Series E-ISSN 3004-9598
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