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Titlebook: 13th International Conference on Information Systems and Advanced Technologies “ICISAT 2023”; New Trends in Artifi Mohamed Ridda Laouar,Val

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楼主: 哥哥大傻瓜
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Herbert Oertel,Martin Böhle,Thorsten Ehretcations in various domains. Our analysis provides insights into the trade-offs between these two techniques and helps researchers and practitioners make informed decisions when choosing the appropriate approach for their specific use case.
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Einführung in das Abrechnungsmodellan accuracy of 93.4% for the detection of brain tumors. The results demonstrate the efficiency of the proposed framework and have a higher performance level than other recent literature studies. Furthermore, this study is going to help in the diagnosis of brain tumors by doctors.
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https://doi.org/10.1007/978-3-663-10942-6fective for predicting hospital stay durations, yielding a Root Mean Square Error (RMSE) of 0.24 and a coefficient of determination (R.) of 0.94. These compelling findings underscore the efficacy of the Random Forest algorithm in accurately forecasting the duration of hospital stays.
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https://doi.org/10.1007/978-3-663-11668-4ed through scenarios implemented in a real prototype that systematically records the context values and the actions performed accordingly. These data, are then used by the rule learning algorithm in order to personalize the adaptation actions to users. The obtained results are very satisfactory and encouraging.
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https://doi.org/10.1007/978-3-663-10938-9, our main contribution brings up is to investigate how incorporating gamification with mobile technologies enhences motivation of learners in higher education, and focuses on how gamification can assist students in assimiling and programing complex data structures lessons during Coronavirus period.
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Front Mattercrucial issue of how to optimally integrate biological markers, new technologies and new diagnostic and therapeutic approaches into clinical trials and clinical practice is addressed...Combining the contributio978-3-662-51762-8978-3-540-28266-2
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