Concepedia

Appeal Automation

Appeal Automation is a methodological framework within Appeals Management that systematically integrates rule-based algorithms and machine learning techniques to streamline, classify, and process appeal submissions with minimal human intervention.

1

Publications

15

Citations

6

Authors

7

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–1 of 1

Authors

6

  1. EA
    Er. Aman Shrivastav

    Hemwati Nandan Bahuguna Garhwal University, India

    1 publications · 15 citations

    1

    h-index

  2. PC
    Pronoy Chopra

    University of Jeddah, Saudi Arabia

    1 publications · 15 citations

    1

    h-index

  3. KK
    Krishna Kishor Tirupati

    Hemwati Nandan Bahuguna Garhwal University, India

    1 publications · 15 citations

    1

    h-index

  4. PM
    Priyank Mohan

    Japan Advanced Institute of Science and Technology, Japan

    1 publications · 15 citations

    1

    h-index

  5. PS
    Prof. Sangeet Vashishtha

    Shobhit University, India

    1 publications · 15 citations

    1

    h-index

1–5 of 6

Institutions

7

  1. Chaudhary Charan Singh University

    Meerut, India

    1 h-index

    1 publications

    15 citations

  2. International Institute of Information Technology

    Pune, India

    1 h-index

    1 publications

    15 citations

  3. Hemwati Nandan Bahuguna Garhwal University

    Srīnagar, India

    1 h-index

    1 publications

    15 citations

  4. Ambedkar University Delhi

    Delhi, India

    1 h-index

    1 publications

    15 citations

  5. Shobhit University

    Meerut, India

    1 h-index

    1 publications

    15 citations

  6. HOGENT University of Applied Sciences and Arts

    Ghent, Belgium

    1 h-index

    1 publications

    15 citations

  7. University of Oklahoma

    Norman, United States

    1 h-index

    1 publications

    15 citations

1–7 of 7

Venues

  1. 1

    h-index

1–1