Titlebook: Advanced Hybrid Information Processing; Second EAI Internati Shuai Liu,Gelan‘Yang Conference proceedings 2019 ICST Institute for Computer S

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Klaus-Peter Kistner,Marion Stevenve application scenarios in daily life, which have higher and higher application values. It also raises more and more interest from academic community. Pedestrian detection is fundamental in many human-oriented tasks, including trajectory tracking of people, recognition of pedestrian gait, and autop

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Klaus-Peter Kistner,Marion Stevenhe ADS-B signals are often interfered with other overlapped signals during the signal transmission, causing signal overlap and bringing difficulties to signal processing afterwards. This article applies Blind Source Separation (BSS) into the separation process of ADS-B overlapped signals and constru

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Klaus-Peter Kistner,Marion Stevenmic time series based on machine learning theory is proposed. According to the good extensibility of big data, construct a retrieval model and use binary data conversion methods to match big data. The binary sequence is defined by the relationship between different data, the similarity of data featu

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Betriebswirtschaftslehre im Grundstudium 1rediction model of big data for short-term power load is designed. The short-term power load forecasting theory is analyzed, and the short-term power load data are classified to select the short-term power load forecasting theory. The Map/Reduce framework is built on the basis of the theory, and the

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