Sentence examples for machine assessment from inspiring English sources

A by-product of the research methodology was the discrimination of predictive value between manual and machine assessment techniques.

Review by expert groups – for relevance to the list of causes, reliability, and feasibility – and comparison with machine assessment analysis led to a reduction of 45.8% in number of CoD-related indicators in relation to the WHO VA standards, resulting in a total of 221 indicators (of which various subsets apply to particular population sub-groups).

The response of geomaterials to low-strain dynamic loading is of foremost importance in a variety of situations in soil dynamics (e.g. foundation design of vibrating machines, assessment of vibrational impact induced by railway, subway or roadway traffic) and earthquake geotechnical engineering (e.g. ground response analysis at stable sites).

This paper presents a general review of the materials' characteristics and properties together with their machinability assessment under various machining conditions.

Effects in the same direction and of similar magnitude were found in meta-analyses of undergraduate assessments only, postgraduate assessments only, machine marked written assessments only, practical clinical assessments only, assessments with pass/fail outcomes only, assessments with continuous outcomes only, and in a meta-analysis of white v Asian candidates only.

Arthur found his place in the Republicans' non-radical wing, running the party machine's "assessment" (i.e., kickback) operation, in which beholden political appointees returned a portion of their salaries.

Yan et al. [23] developed an online prognostics algorithm for machine performance assessment to monitor system health and predict future failure.

It is expected that the Chinese human machine interface assessment technologies could be developed on the basis and results of this study.

Depending on the machine's assessment of how people's mental or physical state is changing, the machine will decide when and how to change the interface and change user tasks so that the demands remain within people's limited capabilities.

Separate meta-analyses of undergraduate assessments (d=−0.42; P<0.001), postgraduate assessments (d=−0.38; P<0.001), machine marked written assessments (d=−0.35; P<0.001), practical clinical assessments (d=−0.42; P<0.001), assessments with pass/fail outcomes (d=−0.59; P<0.001), and assessments with continuous outcomes (d=−0.38; P<0.001) all showed similar effects in the same direction.

I'm working with a team of assistant teachers who will aid with the discussion forums and, together, we're designing parallel human and machine-based assessment systems, including a peer badging system, which guides students in their peer-contribution and participation in the learning process.