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Thresholds for support and confidence were identified by implementing a classification algorithm namely CMAR.
For example, having an initial destination and source as input, the app should select the optimal route and help to find proper locations on the way, which has been done by implementing a classification model.
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We then switch our study to a more realistic network setting and augment our CFFR technique by adopting an entirely distributed architecture and by implementing a location classification algorithm based on logistic regression.
For this study, we address some of the gaps in one of our earlier papers by adopting an entirely distributed architecture and by implementing a location classification algorithm based on logistic regression.
In general, the robustness to malfunctions was increased by implementing an automatic classification of anomalies in different levels relative to the seriousness of the error.
This work is focused on the soil surface classification by implementing a visual system capable to distinguish between five usual types of off-road terrains.
The utility of the proposed method was enhanced by implementing a robust algorithm for signal classification and training both the subjects and the device.
We try to help automating this process by implementing a segmentation algorithm based on the previously trained classification models.
By implementing a hierarchical scheme, lower-order CCs can perform an initial classification, followed by progressively higher-order CCs to further refine the classification decision.
By implementing classifications with the selected features, it is demonstrated that the selected features have good discriminative power.
P2TF also presents a thorough analysis of the properties of each predicted TF and implements a hierarchical classification scheme.
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