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

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發(fā)表于 2025-3-21 19:27:49 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advanced Hybrid Information Processing
期刊簡稱Second EAI Internati
影響因子2023Shuai Liu,Gelan‘Yang
視頻videohttp://file.papertrans.cn/146/145662/145662.mp4
學(xué)科分類Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Advanced Hybrid Information Processing; Second EAI Internati Shuai Liu,Gelan‘Yang Conference proceedings 2019 ICST Institute for Computer S
影響因子This book constitutes the refereed proceedings of the Second EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2018, held in Yiyang, China, in October 2018. The 71 papers presented were selected from 228 submissions and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology today, it is the right time to develop deeper and wider use of hybrid information processing, especially information processing for big data. There are more remaining issues waiting for solving, such as classification and systemization of big data, objective tracking and behavior understanding in big multimedia data, encoding and compression of big data.
Pindex Conference proceedings 2019
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書目名稱Advanced Hybrid Information Processing影響因子(影響力)




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Klaus-Peter Kistner,Marion Steveno signal processing afterwards. This article applies Blind Source Separation (BSS) into the separation process of ADS-B overlapped signals and constructs the ADS-B overlapped signal separation model using Infomax algorithm, in order to separate ADS-B overlapped signals into single-way ADS-B signals and improve signal decoding rate.
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Klaus-Peter Kistner,Marion Stevenband chirp signals is proposed, the Fractional Fourier Transform (FRFT) is applied to focus the energy of the signals in every frequency by the rotational characteristic of FRFT, then algorithm for narrowband signals is used to estimate the DOA, computer simulation results prove the effective of the algorithm.
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Betriebswirtschaftslehre im Grundstudiume utilization of resources. Experimental results verify the effectiveness of the proposed resource scheduling algorithm, the match rate between the project and the university graduates has increased by 30%.
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Betriebswirtschaftslehre als Wissenschaftd in the network to regularize. Experiments were performed on the UCF101 data set, achieving an accuracy of 96%. Experimental results show that the improved 3D convolutional neural network model has a higher recognition accuracy in human action recognition.
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Die Lagerung der Ware bis zum Verkauftructure detection to complete software optimization. The effectiveness of the calibration system has been verified compared to traditional automatic calibration systems. The experimental results show that the system has strong data analysis capability, high precision after calibration, good calibration effect and large development space.
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