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Also, literature has addressed a number of possible challenges associated with the large-scale institutional implementation of analytics.
Findings suggest that the framework provides an adequate set of concepts to support the design and implementation of analytics solutions.
Future research needs to focus on the extent to which institutions are engaged in the implementation of analytics support student learning, and the quality of teaching, and exploring possible ways of addressing challenges that can slow implementation of analytics in higher education.
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The methods for solving vehicle pavement interaction problem can be classified into analytic approach and numerical application, though the implementation of analytic approach still requires numerical computation.
The objective function is formulated in a way that allows explicit implementation of analytic derivatives to drive fast and accurate optimization using the conjugate gradient method.
The implementation of data analytics on such datasets is commonly referred to as big data analytics.
However, implementation of green analytics on big data surely results in reduced memory usage and computational cost.
As such, triple optimization of sensing, computing and communication tasks is required to facilitate the implementation of data analytics on the sensor devices.
Second, the absence of issues related to privacy and ethics in the questions solicited from the workshop presentations and the presence of these issues in the audience's questions (Table 3) point to a possible gap between design and implementation of learning analytics solutions.
In contrast to this view, we have seen in the previous part of this paper, that the implementation of additional analytics capabilities contributes to extend the use of BI technologies, making the combination between knowledge management and data highly beneficial for decision-makers and players involved in the delivery of knowledge services.
In this work we address the development and implementation of the analytic coarse-mesh finite-difference (ACMFD) method in a nodal neutron diffusion solver called ANDES.
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