Titlebook: Lehrbuch der Haut- und Geschlechtskrankheiten; J. Jadassohn Book 1927Latest edition Springer-Verlag Berlin Heidelberg 1927 Geschlechtskran

Limbic-System

書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten影響因子(影響力)




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten影響因子(影響力)學(xué)科排名




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten網(wǎng)絡(luò)公開度




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten被引頻次




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten被引頻次學(xué)科排名




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten年度引用




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten年度引用學(xué)科排名




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten讀者反饋




書目名稱Lehrbuch der Haut- und Geschlechtskrankheiten讀者反饋學(xué)科排名

容易生皺紋

漸變

J. Jadassohn, and the most effective of the three chosen. In this study, the SFFS algorithm showed higher accuracy than the others. The road surface condition classification was performed across different speed ranges using the Random Forest Classifier, and results show that the best accuracy, of about 91%, was

Arable

gentle

J. Jadassohnaining node to the appropriate centroid. We evaluate our approach using three real world datasets and demonstrate the nice properties that the constructed partitions possess showing that they significantly reduce the total number of nodes required for query answering while introducing minimal storag

Prophylaxis

J. Jadassohnaining node to the appropriate centroid. We evaluate our approach using three real world datasets and demonstrate the nice properties that the constructed partitions possess showing that they significantly reduce the total number of nodes required for query answering while introducing minimal storag

微粒

Budget

補(bǔ)充

Munificent

J. Jadassohnod for estimating road surface conditions by using a motion sensor embedded in a smartphone. The method is based on a mobile sensing framework that can collect sensor data using crowdsourcing. In this study, we have defined new road surface conditions as the estimation target, which takes into accou