Titlebook: Neural Networks and Statistical Learning; Ke-Lin Du,M. N. S. Swamy Textbook 2019Latest edition Springer-Verlag London Ltd., part of Spring

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書目名稱Neural Networks and Statistical Learning影響因子(影響力)




書目名稱Neural Networks and Statistical Learning影響因子(影響力)學科排名




書目名稱Neural Networks and Statistical Learning網(wǎng)絡(luò)公開度




書目名稱Neural Networks and Statistical Learning網(wǎng)絡(luò)公開度學科排名




書目名稱Neural Networks and Statistical Learning被引頻次




書目名稱Neural Networks and Statistical Learning被引頻次學科排名




書目名稱Neural Networks and Statistical Learning年度引用




書目名稱Neural Networks and Statistical Learning年度引用學科排名




書目名稱Neural Networks and Statistical Learning讀者反饋




書目名稱Neural Networks and Statistical Learning讀者反饋學科排名

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ds to expand its scope further. This is because these approaches are not always straightforward to characterize fibrous or membrane proteins owing to extreme difficulty in crystallization in the former, and insufficient spectral resolution due to sparing solubility or increased effective molecular m

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anaphylaxis

Ke-Lin Du,M. N. S. Swamyds to expand its scope further. This is because these approaches are not always straightforward to characterize fibrous or membrane proteins owing to extreme difficulty in crystallization in the former, and insufficient spectral resolution due to sparing solubility or increased effective molecular m

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collagenase

Ke-Lin Du,M. N. S. Swamyds to expand its scope further. This is because these approaches are not always straightforward to characterize fibrous or membrane proteins owing to extreme difficulty in crystallization in the former, and insufficient spectral resolution due to sparing solubility or increased effective molecular m

別炫耀

Ke-Lin Du,M. N. S. Swamyds to expand its scope further. This is because these approaches are not always straightforward to characterize fibrous or membrane proteins owing to extreme difficulty in crystallization in the former, and insufficient spectral resolution due to sparing solubility or increased effective molecular m

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反復(fù)拉緊

Ke-Lin Du,M. N. S. Swamy conformational noise by electrical tuning and compounded van der Waals interactions, sensitivity boosting by introducing back gate layer, and the homopolymer distinction via multi-probe nanopore field-effect transistor (FET) are also addressed. Finally, a proof-of-concept analysis for the large-sca

強壯

Ke-Lin Du,M. N. S. Swamyd so far to drive research in the field. We review nanopore formation by drilling with a transmission electron microscope, by ion beam milling, by pipette pulling, and provide a special emphasis on nanopore fabrication by controlled breakdown, which shows promise to expand the user base and accelera