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Future research should involve evaluations of the framework in other health service settings where comprehensive HISs are developed.
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In this section, the experimental evaluation of the framework devoted to soft biometric estimations is reported.
The evaluation of the framework was also discussed based on the implementation details provided in this paper.
Results reported in this paper focus only on presenting the development phases and evaluation of the framework.
We also present a thorough evaluation of the framework with different patch generation methods, forest training mechanisms and prediction methods.
In their research, new features were iteratively constructed using decision trees, while the evaluation of the framework was done using the Irvine repository of (symbolic) classification problems.
Experimental evaluation of the framework demonstrates that the proposed approach compares favorably with the previous technique in a set of shape retrieval experiments for different datasets.
For the evaluation of the framework, we excluded the speaker without PID number in Table 2 in PATCOR and speakers 32 and 47 in DOMOTICA-3, due to data insufficiency for block creation.
The evaluation of the framework was performed using three sets of data; one for a set of HVAC electricity sensors, one for a set of temperature sensors, and a third set for a traffic system in California.
Future work will include the evaluation of the framework with additional applications, execution environments, and resource types regarding scale, heterogeneity, and energy consumption which results in new research objectives.
After presenting the evaluation of the framework by the companies, practices are proposed which can be useful for the integration of ecodesign into PPM, such as adoption of the Project Management Office (PMO) and the use of social media.
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