Titlebook: Biomedical Engineering Systems and Technologies; 6th International Jo Mireya Fernández-Chimeno,Pedro L. Fernandes,Hugo G Conference proceed

Hypothesis

書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies影響因子(影響力)




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies被引頻次




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies被引頻次學(xué)科排名




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies年度引用




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies年度引用學(xué)科排名




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies讀者反饋




書(shū)目名稱(chēng)Biomedical Engineering Systems and Technologies讀者反饋學(xué)科排名

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態(tài)學(xué)

https://doi.org/10.1007/978-2-8178-0214-5odology to calculate a optimal cost matrix for models based on cost sensitive learning is proposed. The results show the superiority of this approach compared with several techniques in the state of the art regarding to class imbalance. Tests were applied to prediction of molecular functions in Embr

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不能妥協(xié)

Characterization of an Acoustic Based Device for Local Arterial Stiffness Assessment AP’s effectiveness in measuring higher PWV (14?m/s), with a relative error less than 5?%, when using two uncoupled APs, was also demonstrated. Finally, its clinical feasibility was investigated, in a set of 17 healthy subjects, in which local PWV and other hemodynamic parameters were measured. Caro

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上坡

Optimization of Cost Sensitive Models to Improve Prediction of Molecular Functionsodology to calculate a optimal cost matrix for models based on cost sensitive learning is proposed. The results show the superiority of this approach compared with several techniques in the state of the art regarding to class imbalance. Tests were applied to prediction of molecular functions in Embr

enmesh