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Artificial neural networks (NNs), widely used in precipitation remote sensing (Bellerby et al. 2000; Grimes et al. 2003; Tapiador et al. 2004), are the statistical tool chosen to define the correlations between satellite measurements and classes of ground precipitation as estimated by weather radars.
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The correlation between some available design measurements and class stability over versions was investigated in article [10], which proposed a stability prediction model using such available measurements.
ISO 11783 standard provides three classification levels for a tractor manufacturer; in Class 1 tractor has to broadcast only the basic measurements to the network, in Class 2 more measurements and in Class 3 tractor is capable of handling requests or commands from implement.
The implementation level varied greatly by schools (range for teacher measurements 0-100%, range for pupils' measurement 28-91%) and classes (pupils' measurements range 10-100%).
The discrepancies between the field measurements and the Class A predictions are shown to mainly comprise of poor estimations of the apparent pre-consolidation pressures and the uncertainty in the hydraulic properties.
Finally, the fixed effect estimate gives the grand mean across all measurement waves, students and classes, and shows that the average competence equals 0, which is in line with the IRT-based WBB scale.
The required sample size is proportional to the number of outcome measurements and the intra class correlation (ICC) between (binary) outcome measurements [ 53].
One thousand eighty (20%) out of 5400 measurements were randomly selected for re-measurement, and intra-class correlation (ICC) was calculated for intra-observer agreement.
A first challenge would be the investigation of other metrics, in addition to RTT, number of hops and bandwidth, to better classify collected measurements and reduce overlap between classes.
Water temperature ranged from 0 to 2. °C°C during measurements and therefore the DO classes contain the following mg/l of oxygen; low (0 4 mg/L), moderate (4 10 mg/L), and high (10 15 mg/L).
We did not find such cells (in only 3 of 215 neurons were responses decreased by stimuli when the animal was running), but the effect is clear in their measurements and points to a class of interneurons expressing parvalbumin, because these neurons have thin spikes.
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