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Recently convolutional neural networks (CNNs) have essentially reached the state-of-the-art accuracies in image classification and recognition. CNNs are usually deployed in server side or cloud to handle tasks collected from mobile devices, such as smartphones, wearable devices, unmanned systems and so on. However, significant data transmission overhead and privacy issues have made it necessary to...
Environmental factor, as an important parameter in reliability assessment, has been an important issue in the reliability engineering research. The definition of environmental factor for success-failure type data is the unreliability ratio of products between two different environments. When the experimental data obtained were zero-failure data, the value of denominator would be zero when using the...
This paper proposes a method of power grid mass data preprocessing. It makes depth analysis about characteristics of smart grid mass flow data and historical data. Smart grid knowledge classification models are designed according to their characteristics. And it gives the method of power grid knowledge extraction method. It used the sliding window model, discrete wavelet transform and improved SSWAT...
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