Concepedia

Contextual Bayesian Fusion

Contextual Bayesian Fusion is a context-aware fusion framework that integrates multi-source evidence through Bayesian inference conditioned on situational context, thereby enabling adaptive weighting and uncertainty-aware decision-making in dynamic environments.

2

Publications

73

Citations

7

Authors

5

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

7

  1. DP
    Duc-Hong Pham

    Ton Duc Thang University, Vietnam

    1 publications · 41 citations

    1

    h-index

  2. AL
    Anh-Cuong Le

    Ton Duc Thang University, Vietnam

    1 publications · 41 citations

    1

    h-index

  3. LP
    Lucas Paletta

    Joanneum Research, Austria

    1 publications · 32 citations

    1

    h-index

  4. TN
    Toan Nguyen Mau

    Japan Advanced Institute of Science and Technology, Japan

    1 publications · 41 citations

    1

    h-index

  5. AP
    Axel Pinz

    Graz University of Technology, Austria

    1 publications · 32 citations

    1

    h-index

1–5 of 7

Institutions

5

  1. Ton Duc Thang University

    Ho Chi Minh City, Vietnam

    1 h-index

    1 publications

    41 citations

  2. Joanneum Research

    Graz, Austria

    1 h-index

    1 publications

    32 citations

  3. Graz University of Technology

    Graz, Austria

    1 h-index

    1 publications

    32 citations

  4. Japan Advanced Institute of Science and Technology

    Nomi Shi, Japan

    1 h-index

    2 publications

    82 citations

  5. Electric Power University

    Hanoi, Vietnam

    1 h-index

    1 publications

    41 citations

1–5 of 5

Venues

  1. Information Fusion

    1 publications · 41 citations

    1

    h-index

1–1