Artificial Intelligence For Sorting

Artificial Intelligence for Sorting is a computational methodology that integrates machine learning algorithms and sensor-based data processing to autonomously classify and segregate waste materials according to predefined categories, distinguishing itself from conventional sorting techniques through adaptive decision-making and pattern recognition capabilities.

144

Publications

6.5K

Citations

542

Authors

205

Institutions

Publications per year

2017–2026

120

Authors

542

  1. KH
    Karrar Hameed Abdulkareem

    Al-Muthanna University, Iraq

    2 publications · 238 citations

    3

    h-index

  2. MA
    Mazin Abed Mohammed

    University of Anbar, Iraq

    2 publications · 238 citations

    3

    h-index

  3. MO
    Mahmoud Omid

    University of Tehran, Iran

    3 publications · 174 citations

    3

    h-index

  4. JP
    Jef Peeters

    KU Leuven, Belgium

    1 publications · 26 citations

    2

    h-index

  5. RI
    Rismiyati

    Diponegoro University, Indonesia

    2 publications · 88 citations

    2

    h-index

1–5 of 542

Venues

  1. IEEE Access

    7 publications · 342 citations

    7

    h-index

  2. Sensors

    7 publications · 212 citations

    7

    h-index

  3. Applied Sciences

    3 publications · 85 citations

    5

    h-index

  4. Resources Conservation and Recycling

    4 publications · 172 citations

    4

    h-index

  5. Sustainability

    2 publications · 204 citations

    4

    h-index

1–5