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Asset Management

Asset management in ML is a discipline that offers engineers the necessary management support for processes and operations on different types of ML assets.

Papers

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Showing 71–80 of 87 papers

TitleStatusHype
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics—0
Concepts, Components and Collections of Trading Strategies and Market Color—0
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management—0
Myopic robust index tracking with Bregman divergence—0
Testing Sharpe ratio: luck or skill?—0
Connecting Sharpe ratio and Student t-statistic, and beyond—0
Enhancement of Power Equipment Management Using Knowledge Graph—0
Combining Unsupervised and Supervised Learning for Asset Class Failure Prediction in Power Systems—0
A Big data analytical framework for portfolio optimization—0
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery—0
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