Sensor Data Preprocessing

Sensor Data Preprocessing is a methodological procedure within mobile sensor integration that transforms raw sensor data into a standardized, noise-reduced, and analyzable form by correcting errors, removing outliers, and aligning temporal or spatial discrepancies.

89

Publications

4.3K

Citations

378

Authors

155

Institutions

Publications per year

2017–2026

44

Authors

378

  1. AA
    Ahmad Almogren

    King Saud University, Saudi Arabia

    2 publications · 145 citations

    2

    h-index

  2. MM
    Mohammad Mehedi Hassan

    King Saud University, Saudi Arabia

    2 publications · 145 citations

    2

    h-index

  3. AK
    Ali Kadhum Idrees

    University of Babylon, Iraq

    2 publications · 44 citations

    2

    h-index

  4. MZ
    Martin Zenzes

    University of Bremen, Germany

    2 publications · 57 citations

    2

    h-index

  5. MS
    Moritz Schilling

    University of Bremen, Germany

    2 publications · 57 citations

    2

    h-index

1–5 of 378

Venues

  1. Sensors

    2 publications · 40 citations

    2

    h-index

  2. Future Generation Computer Systems

    FGCS · 2 publications · 47 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 129 citations

    2

    h-index

  4. 2

    h-index

  5. Pervasive and Mobile Computing

    2 publications · 33 citations

    2

    h-index

1–5