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Nowadays, many steganographic tools have been developed, and secret messages can be imperceptibly transmitted through public networks. This paper concentrates on steganalysis against spatial least significant bit (LSB) matching, which is the prototype of many advanced information hiding methods. Many existing algorithms deal with steganalysis problems by using the dependencies between adjacent pixels...
In this paper, we focus on the prediction method of building energy consumption time series. The building energy consumption data can be regarded as a time series, which is usually nonlinear and non-stationary. Traditional time series analysis model has lower prediction accuracy. Then the machine learning method, especially support vector regression algorithm always has better performance to deal...
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