檢索結果 - data processing performance

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  1. Computer-assisted simultaneous interpreting Prandi, Bianca

    出版 2023
    “...Quantitative and qualitative data were collected during an eyetracking experiment at the Translation & Cognition Centre of the University of Mainz. ...”
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  2. Lean Manufacturing and Industry 4.0

    出版 2023
    主題: “...operation process...”
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  3. Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

    出版 2023
    “...The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology....”
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  4. Applied Machine Learning

    出版 2023
    主題: “...educational data mining...”
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  5. Review Papers in Big Data, Cloud-Based Data Analysis and Learning Systems

    出版 2023
    “...The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. ...”
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  6. Hypergraph Computation Dai, Qionghai, Gao, Yue

    出版 2023
    “...In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. ...”
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  7. Chapter Trusted Smart Statistics: new statistics for decision makers. The Istat’s experience De Cubellis, Massimo, Grippo, Gerarda

    出版 2023
    “...Istat, thanks to new data sources, increasingly performing technologies and specific skills, has positively seized the opportunities offered by the general context and has recently established a Trusted Smart Statistics Center (TSS Center) to have a governing body that systematically guides organizational adaptation at a technological, methodological, ethical, legal, communication and human resource level. ...”
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  8. Various Deep Learning Algorithms in Computational Intelligence

    出版 2023
    “...Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analyze substantial quantities of unstructured data. ...”
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