Exact(53)
The performance of data visualization has been monitored with three quantitative measures.
Now, we will analyze the performance of data fusion of inter-grid.
Latency is an important measurement to evaluate the performance of data distribution.
Moreover, the performance of data traffic in the optical access network has also discussed.
Recent research [23, 24] has proven that the performance of data forwarding can be affected gravely when nodes behave selfishly.
In [22], the authors studied the performance of data fusion in a clustered Zigbee WSN implementation of [20].
Similar(7)
In addition, the performance of data-driven models with and without the non-dimensional parameters is explored.
Agents can help to increase the performance of data-intensive applications running on top of the grid.
The performance of data-driven models such as Artificial Neural Networks and Support Vector Machines relies to a good extent on selecting proper data throughout the design phase.
Structure activity relationships collected from medicinal literature and stored in bioactivity databases may contain noise or erroneous reported activity measurements, due to human error or experimental uncertainty, that could potentially affect the performance of data-mining techniques [40 43].
This study investigated the effect of lag time on the performance of data-driven models, specifically the adaptive network-based fuzzy inference system (ANFIS), in event-based rainfall runoff modeling.
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