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

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书目名称Advances in Smart Medical, IoT & Artificial Intelligence影响因子(影响力)




书目名称Advances in Smart Medical, IoT & Artificial Intelligence影响因子(影响力)学科排名




书目名称Advances in Smart Medical, IoT & Artificial Intelligence网络公开度




书目名称Advances in Smart Medical, IoT & Artificial Intelligence网络公开度学科排名




书目名称Advances in Smart Medical, IoT & Artificial Intelligence被引频次




书目名称Advances in Smart Medical, IoT & Artificial Intelligence被引频次学科排名




书目名称Advances in Smart Medical, IoT & Artificial Intelligence年度引用




书目名称Advances in Smart Medical, IoT & Artificial Intelligence年度引用学科排名




书目名称Advances in Smart Medical, IoT & Artificial Intelligence读者反馈




书目名称Advances in Smart Medical, IoT & Artificial Intelligence读者反馈学科排名

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Information Systems Engineering and Managementhttp://image.papertrans.cn/b/image/167314.jpg

Priapism

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978-3-031-66852-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

Aura231

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Gruppenprozessorientierte Interventionen,tiveness in healthcare applications, is challenged by limited accessibility to substantial datasets, especially in the case of fall detection. Moreover, training deep learning models is both time-consuming and costly. To address these issues, in this paper, we implemented a sample size technique cal

可能性

Anforderungen an die TherapeutInnen,dels to LogS (logarithmic solubility) prediction, our study systematically investigates the critical role played by diverse datasets in shaping model performance. Utilizing four distinct datasets, we explore the nuances of their impact on the predictive accuracy of linear regression models. The data

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