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

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書目名稱Advances in Smart Medical, IoT & Artificial Intelligence影響因子(影響力)學(xué)科排名




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書目名稱Advances in Smart Medical, IoT & Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Smart Medical, IoT & Artificial Intelligence被引頻次




書目名稱Advances in Smart Medical, IoT & Artificial Intelligence被引頻次學(xué)科排名




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書目名稱Advances in Smart Medical, IoT & Artificial Intelligence讀者反饋學(xué)科排名

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FACT

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

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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

Creatinine-Test

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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