Streaming Data Acquisition

Streaming Data Acquisition is a method of real-time data acquisition that continuously captures, processes, and transmits data in sequential streams from source to destination, distinguishing itself by enabling immediate access and analysis of transient, time-sensitive information as it is generated.

15

Publications

301

Citations

80

Authors

36

Institutions

Publications per year

2017–2026

6

Authors

80

  1. HN
    H. Nakanishi

    National Institute for Fusion Science, Japan

    2 publications · 33 citations

    2

    h-index

  2. JP
    James P. Freyer

    Los Alamos National Laboratory, United States

    1 publications · 25 citations

    1

    h-index

  3. ME
    M. Emoto

    National Institute for Fusion Science, Japan

    1 publications · 20 citations

    1

    h-index

  4. CB
    Chua Beng Koon

    Ngee Ann Polytechnic, Singapore

    1 publications · 12 citations

    1

    h-index

  5. MW
    Michael W. Burke

    Lawrence Livermore National Laboratory, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 80

Venues

  1. First Break

    1 publications · 26 citations

    1

    h-index

  2. Journal of Instrumentation

    JINST · 1 publications · 14 citations

    1

    h-index

  3. International Conference on Software Engineering

    Conference · 1 publications · 19 citations

    1

    h-index

  4. Cytometry Part A

    1 publications · 25 citations

    1

    h-index

  5. IEEE Access

    1 publications · 20 citations

    1

    h-index

1–5