Concepedia

Synchronized Data Fusion

Synchronized Data Fusion is a data integration framework that aligns and combines temporally distributed datasets from heterogeneous sources by enforcing precise time correspondence across modalities or sensors to ensure coherent and consistent joint analysis.

2

Publications

118

Citations

9

Authors

2

Institutions

Publications per year

2017–2026

0

Parents

Publications

2

1–2 of 2

Authors

9

  1. SV
    Srikanth V. Krishnamurthy

    University of California, Riverside, United States

    1 publications · 93 citations

    1

    h-index

  2. RM
    Rudolf Mester

    Goethe University Frankfurt, Germany

    1 publications · 25 citations

    1

    h-index

  3. PK
    Philipp Koschorrek

    University of Rostock, Germany

    1 publications · 25 citations

    1

    h-index

  4. SK
    Satish K. Tripathi

    University of Maryland, College Park, United States

    1 publications · 93 citations

    1

    h-index

  5. TP
    Tommaso Piccini

    Linköping University, Sweden

    1 publications · 25 citations

    1

    h-index

1–5 of 9

Institutions

2

  1. Linköping University

    Linköping, Sweden

    1 h-index

    6 publications

    150 citations

  2. University of California, Riverside

    Riverside, United States

    1 h-index

    3 publications

    279 citations

1–2 of 2