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10.21437/interspeech.2019-2792

However, due to the large variance of the enhanced speech with even the same cosine similarity loss in high dimensional space, a deep neural network learnt with this loss might not be able to predict enhanced speech with good quality.

Coarse-to-fine Optimization for Speech Enhancement

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10.1016/J.CARBON.2019.04.010

The density functional theory calculations predict enhanced polarization of the DWCNTs when they contain chlorine-decorated holes in the outer walls and physisorption of H2O molecules near chlorine atoms.

Chlorinated holey double-walled carbon nanotubes for relative humidity sensor

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10.1007/s10457-019-00400-9

Models predict enhanced wild bee habitat quality and tend to predict increased provision of pollination services by wild bees in landscapes with higher proportion of cherry tree agroforestry.

Agroforestry can enhance foraging and nesting resources for pollinators with focus on solitary bees at the landscape scale

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10.1016/j.scitotenv.2018.11.050

Climate change projections predict enhanced evaporation, as well as an increase in extreme events and in variability of precipitation.

Leaf litter microbial decomposition in salinized streams under intermittency.

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10.3847/1538-4357/aafaf5

We do not predict enhanced emission/absorption for higher ionization states such as OVI.

Simulating Gas Inflow at the Disk-Halo Interface

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10.1017/JFM.2019.532

It was also found that the interfacial perturbations optimized at early stages of the instability are unable to predict enhanced mixing at later times, and thus optimizing late-time multi-mode RT instabilities requires late-time sensitivity information.

Optimal perturbations for controlling the growth of a Rayleigh–Taylor instability

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Predict Enhanced - However, due to the large variance of the enhanced speech with even the same cosine similarity loss in high dimensional space, a deep neural network learnt with this loss might not be able to predict enhanced speech with good quality. [1] The density functional theory calculations predict enhanced polarization of the DWCNTs when they contain chlorine-decorated holes in the outer walls and physisorption of H2O molecules near chlorine atoms. [2] Models predict enhanced wild bee habitat quality and tend to predict increased provision of pollination services by wild bees in landscapes with higher proportion of cherry tree agroforestry. [3] Climate change projections predict enhanced evaporation, as well as an increase in extreme events and in variability of precipitation. [4] We do not predict enhanced emission/absorption for higher ionization states such as OVI. [5] It was also found that the interfacial perturbations optimized at early stages of the instability are unable to predict enhanced mixing at later times, and thus optimizing late-time multi-mode RT instabilities requires late-time sensitivity information. [6]