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By a −12.6 to −19.8 % error, non-learning gas data could be predicted using an artificial neural networks.

Using this information, the vector of random parameters can be predicted using an approximate Bayes estimator of u k (Vonesh and Chinchilli [1997]; Rencher [2000]).

This study experimentally shows that, for a laterally and longitudinally inclined enclosed V-trough concentrator, the natural convection heat loss can be predicted using an equation of the form Nu = aRab for Rayleigh numbers between 2 × 103 and 1 × 108.

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These effects cannot be predicted using a traditional model that neglects the inertia of the isolator.

Matrix potentials in the soil could not be predicted using a simple hysteresis model.

Handedness cannot be predicted using a single performance measure, and preference measures of handedness are unreliable because of their subjectivity.

Separation follows closely the theory of sedimentation in well-mixed systems and can be predicted using a simple analytical model.

Using TSA, deep-layer SWS information could be predicted using a single-location measurement in the 0 0.4 m soil layer.

The diffuse scattering at late stages can be predicted using a scaling function for the pair correlations.

Subsequent fluid loss from the cement may be predicted using a simple quasi-static model for the mudcake.

These variations can be predicted using a Digital Elevation Model (DEM) of the area and the orbital data (antenna state vectors) which are provided together with the images.

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