検索結果 - data processing performance

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  1. Computer-assisted simultaneous interpreting 著者: Prandi, Bianca

    出版事項 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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    Online
  2. Lean Manufacturing and Industry 4.0

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

    出版事項 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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    Online
  4. Applied Machine Learning

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

    出版事項 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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    Online
  6. Hypergraph Computation 著者: Dai, Qionghai, Gao, Yue

    出版事項 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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    Online
  7. Chapter Trusted Smart Statistics: new statistics for decision makers. The Istat’s experience 著者: De Cubellis, Massimo, Grippo, Gerarda

    出版事項 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

    出版事項 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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    Online