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Methodology of applying the synthesis approach to recognition of first-person activities.
It can be seen from the figure that our methodology of applying SAX comprises of three main steps described as follows.
A methodology of applying computational flow modeling to enhance the performance of a radial flow fixed bed reactor is discussed with the help of an example.
Based on the above derivation, this paper proposes a methodology of applying boosting method and MS technique to significantly improve the accuracy of time series forecasting model for day-ahead wind power forecasts.
In this paper, we contribute in: Fig. 1 Overview of our approach Reduction of the collection and annotation costs on deep learning dataset by using simple image generation and synthesis Methodology of applying the synthesis approach to recognition of first-person activities Interpretations of the synthesis approach using simple visual patterns in terms of representation in deep visual patterns.
These limitations will be addressed as the methodology of applying QICAR to human health outcomes is refined.
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Several principles and methodologies of applying this technique are explained.
The article presents the usual steps of the PBL methodology showing the feasibility of applying this methodology to large workgroups.
We implement this methodology by way of applying it to the case of the UK electricity distribution networks.
However, this proposed methodology has the constraint of applying a high ratio of oversampling, thus requiring a high training time.
Section 5 discusses the results of applying the methodology, and offers suggestions for future research.
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