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Each example is presented using the same template.
An example is presented using pavement condition data.
In this paper, an algorithm for wind power prediction is presented using autoencoder.
In Section 2 the method is presented using a multiple access protocol.
The constellation schema diagram is presented using the formalism of Malinowski et al. [32].
The precoder is presented using a virtual transformation of the system in (17) [17].
An application example is presented using experimental results obtained from the literature.
In addition, a reconstruction method for the invalid regions is presented using the key frame.
The optimal CW is presented using the analytic model when the number of nodes is given.
Performance evaluation is presented using real-time indoor measurement channels and a sample test scenario.
The original algorithm is presented using Relfun, whereas we give a more generic specification.
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