An analytical method for applicability evaluation of GTCCIAC with absorption chiller (inlet chilling) and saturated evaporative cooler (inlet fogging) was presented.
For field applicability evaluation, the framework was applied on three expressway sections in Korea: the Pyeongchang area of the Yeongdong Expressway, the Deogyu Mountain area of the Daejeon-Jinju Expressway, and the Juksan-Geochang area of the 88 Expressway.
Finally, an applicability evaluation of the framework was carried out on three expressway sections of the Korean highway system that have suffered damage due to debris-flow occurrences during heavy rainfall events in 2005 and 2006: the Pyeongchang area of the Yeongdong Expressway, the Deogyu Mountain area of the Daejun-Jinju Expressway, and the Juksan-Geochang area of the 88 Expressway.
Using the algorithms and programs, we perform simulations to evaluate applicability and evaluation accuracy under the same initial conditions.
In this paper, we reflect on the potential contributions of ANT and its practical applicability to evaluations of IT in the healthcare setting.
Systematic triangulation and synthesis across study units is important for increasing confidence in the reliability, credibility, and applicability of evaluation findings, especially when case-based, non-probability based evaluationon-probability based
The use of this intermediate applicability data-evaluation method is still justified, when applicable, by an about one order-of-magnitude decreased computational time requirement.
The analysis is approached as an "applicability range" evaluation, which quantifies the fraction of the historical population that is represented by one mass estimate.
Therefore, this paper aims at improving the applicability of evaluation methods for designing a new PSS by proposing a new framework and performing an empirical study where a new evaluation method can be used for PSSs.
Our applicability domain evaluation is based on the distance measure D(c), which is defined as the mean Tanimoto distance to the three nearest neighbors in the training dataset (computed with the same structural fragments that are employed by the respective (Q SAR model).
