Iot Data Preprocessing

IoT Data Preprocessing is a data management procedure that transforms raw sensor-generated data into a clean, structured, and analyzable format by addressing issues such as noise, missing values, redundancy, and heterogeneity inherent in Internet of Things environments.

60

Publications

2.9K

Citations

204

Authors

133

Institutions

Publications per year

2017–2026

54

Authors

204

  1. LM
    Lina Mohjazi

    University of Glasgow, United Kingdom

    2 publications · 100 citations

    2

    h-index

  2. QH
    Qammer H. Abbasi

    University of Glasgow, United Kingdom

    2 publications · 100 citations

    2

    h-index

  3. HA
    Hanaa Abumarshoud

    University of Glasgow, United Kingdom

    2 publications · 100 citations

    2

    h-index

  4. AH
    Aroosa Hameed

    École de Technologie Supérieure, Canada

    2 publications · 70 citations

    2

    h-index

  5. SK
    Sree Krishna Das

    Bangladesh University of Engineering and Technology, Bangladesh

    2 publications · 100 citations

    2

    h-index

1–5 of 204

Venues

  1. IEEE Access

    5 publications · 286 citations

    6

    h-index

  2. Computer Networks

    4 publications · 252 citations

    4

    h-index

  3. Future Generation Computer Systems

    FGCS · 4 publications · 126 citations

    4

    h-index

  4. IEEE Internet of Things Journal

    3 publications · 202 citations

    3

    h-index

  5. Intelligent and Converged Networks

    1 publications · 30 citations

    1

    h-index

1–5