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Published in 2017 at "Journal of Chemometrics"
DOI: 10.1002/cem.2916
Abstract: The prediction of biologically active compounds plays a very important role for high‐throughput screening approaches in drug discovery. Most computational models, in this area, concentrate on measuring structural similarities between chemical elements. There are various…
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Keywords:
hiv activity;
auto encoder;
anti hiv;
stacked auto ... See more keywords
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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107371
Abstract: Abstract Building a smooth degradation curve for a bearing can provide a good basis for predicting its remaining useful life, but the traditional models need to fuse multiple models. The stacked auto-encoder (SAE) can extract…
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Keywords:
degradation;
auto encoder;
stacked auto;
moving average ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2975807
Abstract: As a noninvasive and quantitative method, fluorescence molecular tomography (FMT) has many potential applications in biomedical field. It has the power to resolve in three-dimension (3D), the molecular processes in small animal in-vivo in both…
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Keywords:
reconstruction;
using stacked;
reconstruction small;
molecular tomography ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10176084
Abstract: In recent years, the method of deep learning has been widely used in the field of fault diagnosis of mechanical equipment due to its strong feature extraction and other advantages such as high efficiency, portability,…
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Keywords:
domain invariant;
network;
diagnosis;
novel stacked ... See more keywords
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Published in 2019 at "Energies"
DOI: 10.3390/en12214035
Abstract: The ultra-supercritical (USC) coal-fired boiler-turbine unit has been widely used in modern power plants due to its high efficiency and low emissions. Since it is a typical multivariable system with large inertia, severe nonlinearity, and…
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Keywords:
system;
unit;
ultra supercritical;
usc unit ... See more keywords