Sentence examples for technically estimate from inspiring English sources

Exact(1)

In other words, the key issue is how to technically estimate the quality of sensing data without pre-existing knowledge of the specific sensing behaviour of each participating user and the corresponding ground truth information at the time of data capture to independently verify the correctness of the data [9].

Similar(56)

Technically, these estimates correspond to Gibbs energy changes defined for standard conditions (Δ G r °) (298.15 K, 1 atm, pH 7.0, all compounds at 1 M), rather than physiological conditions.

Unfortunately, the quantitative literature seems to have more or less accepted the official vital statistics on disease-specific deaths, feeding them (and therefore their inaccuracies) into otherwise technically refined estimates of population and population growth.

Finally, it is technically difficult to estimate accurate perfusion rates for normal tissues, especially in the case of normal tissues that have very fast ICG kinetics.

However, it is technically difficult to estimate the tubular size on biopsies because the axis of the slices of the specimens is not always constant.

These 'empty cells' if you imagine a contingency table make it technically impossible to estimate the interaction effect in generalized linear models and will very likely also affect the results of RF.

Some of the per-nucleus estimates from the Poisson method were negative resulting from poor (technically impossible) negative estimates of expected intensity.

Continental tight oil is pervasive in China and its preliminary estimated technically recoverable resources are about (20 25) × 108 t.

Continental tight oil is extensive in China, with preliminarily estimated technically recoverable oil resources of about (20 25) × 108 t.

Although these are technically cross-sectional estimates of marginal effects, we can translate them into longitudinal trends to provide a rough guess of the possible implications of delayed childbearing, as the original study [10] had also done.

The model, which is technically an algorithm, estimates a retention function based on the 10 most recent years from the observed distributions and divides the observed distributions by predictions derived from the estimated retention function.

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