Titlebook: Varietes K?hleriennes Compactes; Alain Lascoux,Marcel Berger Book 1970 Springer-Verlag Berlin Heidelberg 1970 K?hlersche Mannigfaltigkeit

chondrocyte

書(shū)目名稱Varietes K?hleriennes Compactes影響因子(影響力)




書(shū)目名稱Varietes K?hleriennes Compactes影響因子(影響力)學(xué)科排名




書(shū)目名稱Varietes K?hleriennes Compactes網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Varietes K?hleriennes Compactes網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Varietes K?hleriennes Compactes被引頻次




書(shū)目名稱Varietes K?hleriennes Compactes被引頻次學(xué)科排名




書(shū)目名稱Varietes K?hleriennes Compactes年度引用




書(shū)目名稱Varietes K?hleriennes Compactes年度引用學(xué)科排名




書(shū)目名稱Varietes K?hleriennes Compactes讀者反饋




書(shū)目名稱Varietes K?hleriennes Compactes讀者反饋學(xué)科排名

certitude

https://doi.org/10.1007/BFb0069331K?hlersche Mannigfaltigkeit

synovial-joint

978-3-540-05182-4Springer-Verlag Berlin Heidelberg 1970

Alienated

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存心

databases in the biomedical field and the management of medical literature. How to quickly and accurately extract the required relationships of biomedical entity from massive unstructured literature is an important research. In order to improve accuracy, we use support vector machine (SVM) which is

友好關(guān)系

Alain Lascoux,Marcel Bergeral effects on women. They also increase Postpartum Depression (PPD) rates. If untreated, PPD can drain a mother’s energy and make it hard to care for her children. Mental diseases are multifaceted, making social media identification difficult. Social media like Instagram, Twitter, Facebook, and othe

得罪人

Confound

Alain Lascoux,Marcel Berger-19 epidemic. Demand for digital health services like telemedicine and telerehabilitation has been increasing rapidly due to the COVID-19 factors (e.g., isolation, lockdown) in play. Though telemedicine in lower-income countries like Bangladesh has a little history, telerehabilitation is quite new a

Mobile

Alain Lascoux,Marcel Bergerats in electrocardiogram (ECG) is a time-consuming process. Hence, there has been an increasing interest in the study of automatic identification of PVC using ECGs in recent years. In this paper, a novel automatic PVC identification method is proposed. We first design a new approach to detect peak p