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To what extent are technical and social aspects incorporated in the learning processes?
This solution can be potentially useful for other similar CADe systems where the likely false positives include a separate group with a specific location and/or appearance and can be annotated and incorporated in the learning process in order to improve the predictive performance of the system.
Sparse representation is further incorporated in the learning mechanism to adaptively harness the local structure of the data.
Based on the modeling result of control system, gain scheduling technique is further incorporated in the learning filter design of ILC loop to speed up the learning convergence.
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More active hands-on learning strategies like simulations, role playing, problem based discussions and debates should to be incorporated in the teaching and learning activities.
The predominant research finding is that although contemporary technological media are substantially advanced and innovative, they have not been incorporated in the classroom everyday learning practice yet.
Second, we applied a functional connectivity analysis in order to a) remove the possibility of the results in the parametric analysis being a confound of strategy or non-specific effects of reduction in BOLD signal, b) to identify further brain areas, which are connected to BA44 and are incorporated in the dynamic process of learning sound-gesture associations.
In the AFI's experience, for example, an early learning incorporated in the process that significantly enhanced positive outcomes was peer reviews in the context of policy and regulatory innovations.
Teaching strategies, based on Bandura's Self‐Efficacy Theory and adult learning principles, were incorporated in the workshop design.
20 As the intervention was targeted at adults, the principles of adult learning were also incorporated in the education package.
The focus of this clinical case study was to detect high-risk patients with ischaemic heart disease by carrying out cardiac risk assessment of patients using the machine learning driven prognostic models incorporated in the 'Risk assessment module of the ODCRARS.
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