Titlebook: Hannah Arendt and the Specter of Totalitarianism; Marilyn LaFay Book 2014 Palgrave Macmillan, a division of Nature America Inc. 2014 Hanna

极小

Marilyn LaFay6 and DenseNet121) were used to diagnose COVID-19 related infections. This study shows considerable efficiency in terms of performance results (accuracy, cost, sensitivity, the algorithm used, etc.) in COVID-19 detection.

biosphere

: The Abstracted Neighbor,an abstraction into the future. And in this we find the dissonance that runs throughout Arendt’s work: she wants to impose upon people a type of similarity—a similarity of futurity—which may be all well and good philosophically speaking, but is highly suspect, if not outrageous when brought into the political realm.

BOOST

The Encumbrance of ,ty is seen only abstractly, wherein the concerns of day-to-day life are largely trivial to political discussion. Arendt proposes a political ., but not a vision of the arrangements we might require to develop political goals.

肮脏

Marilyn LaFaybmitted to the conference, but only 44 papers were accepted and published in this book. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT), information security, cloud computing, networking and computational informatics..

Exaggerate

ong with deep learning methods (CNN and transfer learning). Data augmentation and fine-tuning techniques are explored to handle the overfitting problem. Conducted experiment results show the effectiveness of transfer learning with data augmentation and fine-tuning using the VGG16 network as the precision reaches 89%.

MILK

转向

Introduction,at it means to exist in modernity, we need to ask whether she provides us with a meaningful way by which we might confront our modern condition. In other words, while she points to us the crisis before us, does she help resolve that crisis? Or, perhaps less emphatically, how does her thought help us mitigate the political crisis of modernity?

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受人支配

Marilyn LaFayfeature selection method as they tend to work individually and cause incorrect feature selection, which in turn affect the classification accuracy. The objective of this research was to utilise the potential of ensemble methods (boosting) with bio-inspired techniques in improving the performance of

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