Titlebook: Schadensmanagement für ?rzte; Juristische Tipps fü Hermann Fenger,Ina Holznagel,Stefan Gesenhues Book 20091st edition Springer-Verlag Berli

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書目名稱Schadensmanagement für ?rzte影響因子(影響力)




書目名稱Schadensmanagement für ?rzte影響因子(影響力)學(xué)科排名




書目名稱Schadensmanagement für ?rzte網(wǎng)絡(luò)公開度




書目名稱Schadensmanagement für ?rzte網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Schadensmanagement für ?rzte被引頻次




書目名稱Schadensmanagement für ?rzte被引頻次學(xué)科排名




書目名稱Schadensmanagement für ?rzte年度引用




書目名稱Schadensmanagement für ?rzte年度引用學(xué)科排名




書目名稱Schadensmanagement für ?rzte讀者反饋




書目名稱Schadensmanagement für ?rzte讀者反饋學(xué)科排名

Gyrate

sulcus

trained. Often, a feature extraction network is pretrained on large datasets, and a classifier is finetuned on a smaller private dataset to recognise the identities from the features. Unfortunately deep learning models are exposed to malicious attacks both during training and inference phases. In ba

尖

proaches are trained on synthetic data and they fail when evaluated on real images. On the other hand, some of the methods require pre-processing in order to separate an object from the background. In contrast, the proposed approach learns to compute stable features for an object by reducing the inf

Vulnerable

trained. Often, a feature extraction network is pretrained on large datasets, and a classifier is finetuned on a smaller private dataset to recognise the identities from the features. Unfortunately deep learning models are exposed to malicious attacks both during training and inference phases. In ba

Locale

adumbrate

ormance in restoring the image domain from its undersampled measurements. However, most existing works rely on convolutional neural networks (CNNs), which are limited by the inherent locality in capturing the long-distance dependency. In this work, we propose a UNet-like Transformer network (UTrans)

證實(shí)

incontinence

acceptance in waste management. In addition, past efforts to motivate households to improve waste separation have shown limited success. To reduce greenhouse gas emissions as part of a greater plan for fighting climate change, institutions like the European Union (EU) undertake strong efforts. In t

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