Machine Learning-based Data Fusion

Machine Learning-Based Data Fusion is a data fusion methodology that employs machine learning algorithms to automatically integrate heterogeneous geospatial data sources by learning complex patterns and relationships from data, distinguishing it from traditional rule-based or model-driven fusion techniques.

193

Publications

9.2K

Citations

727

Authors

370

Institutions

Publications per year

2017–2026

129

Authors

727

  1. MA
    Muhammad Adnan Khan

    National College of Business Administration and Economics, Pakistan

    8 publications · 1K citations

    7

    h-index

  2. SA
    Sagheer Abbas

    National College of Business Administration and Economics, Pakistan

    4 publications · 491 citations

    4

    h-index

  3. TM
    Taher M. Ghazal

    National University of Malaysia, Malaysia

    4 publications · 448 citations

    4

    h-index

  4. SA
    Shabib Aftab

    Virtual University of Pakistan, Pakistan

    4 publications · 238 citations

    4

    h-index

  5. MA
    Munir Ahmad

    National College of Business Administration and Economics, Pakistan

    4 publications · 481 citations

    4

    h-index

1–5 of 727

Venues

  1. Sensors

    8 publications · 418 citations

    8

    h-index

  2. Information Fusion

    8 publications · 1.2K citations

    8

    h-index

  3. Expert Systems with Applications

    5 publications · 707 citations

    5

    h-index

  4. Remote Sensing

    5 publications · 226 citations

    5

    h-index

  5. 5

    h-index

1–5