The rise of renewable energy is taking its toll on modern power grids created long ago. For example, houses connected to the power grid that give back solar energy raised on that property cause traditional assumptions about the power grid model to fail, i.e. modern power grids now need to...
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To view the detection results of all the configured camera feeds, click onView All Streamsfrom the top right corner on the MapUI from the main Grafana Dashboard i.e. ITM. Refer to Figure 11: Grafana Main Dashboard – Intelligent Traffic Management. Figure 15: Detection Results of all the ...
Accounting for multitasking (i.e., the returning traffic) also leads to a better understanding on how users engage with sites. In addition, considering where users are coming from provides information about what else the users are doing in the network afterwards. We have shown all these using ...
Given the harmful effects of nanoparticles on human health (i. e. visibility impairment, cardiac-rhythm disturbance, heart attacks, premature death, etc.), their control and assessment seem to be an absolute priority.In this overview, we classify and analyze the existing knowledge of nanoparticles...
Each node i adjacent time series, daily periodic time series, and weekly periodic time series are input into GRU to extract time features. In order to reduce the influence of redundant information on the prediction results, the adaptability of the model to the neighboring time affected by traffi...
3: ( ) = 1( ) + 2( ) + ⋯ + ( ) (3) In entire traffic prediction, the variables are features correspond- ing to period , which have significant influence on the entire traffic; is the ground truth, i.e. the actual entire traffic in period . Thus, we need to identify the ...
The assignment of traffic on a network such that it distributes itself in a way that the travel costs on all routes used from any origin to any destination are equal, while all unused routes have equal or greater travel costs. System optimum traffic assignment: The assignment of traffic such...
We resized all images at training to a fixed size of 1024 × 1024 pixels (i.e., width × height) along with maintaining the original aspect ratios of the image by zero-padding (when necessary). Furthermore, channel normalization with the computed mean RGB value on the entire training ...
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