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This paper presents the first hydrological implementation of Emotional Artificial Neural Network (EANN), as a new generation of Artificial Intelligence-based models for daily rainfall-runoff (r-r) modeling of the watersheds.
In this work, model driven development approach is utilized for implementation of emotional learning as a bio-inspired algorithm for embedded purposes.
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The new framework will be suitable for implementation of believable emotional intelligence in artifacts, necessary for emotionally informed behavior, collaboration of virtual partners with humans, and self-regulated learning of virtual agents.
A three-part benchmarks framework for schoolwide implementation of social emotional learning is used to analyze (a) student and adult competencies, (b) classroom practices, and (c) whole school approaches, including school climate and administrative team leadership.
"System design and implementation" section presents the system design and implementation of the emotional movie.
These strength-based behavior rating scales yield a variety of information designed to support the large scale implementation of social and emotional learning programs.
The implementation of the five basic emotional expressions (happiness, anger, fear, sadness and disgust -as they were disgust -asPaul Ekman [1]-as well as neuthey emotion wereachievedefined the description of facial surface changes as explained within the handbyok of Facial Action Coding System (FACS) [42].
It avoids artificial categorisation of emotions, requires no naming of emotional states, is language independent, and its implementation is straightforward.
For implementation of the supra-segmental parameters of emotional speech, the statistical types of median values, range of values, std, and/or relative maximum and minimum we used in the feature vectors.
Documentation of emotional assessment increased after SmartPhrase implementation (63.9% [101 of 158] vs. 74.6% [138 of 185]; P < 0.03).
The day-to-day work of the White House implementation manager overseeing Iraq and Afghanistan would require a great deal of emotional and intellectual energy resolving critical resource issues in a bureaucracy that, to date, has not functioned well.
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