Neural Network Screening

Neural Network Screening is a computational assessment method that employs artificial neural networks to systematically evaluate and differentiate candidate individuals or models based on learned patterns from multidimensional data inputs.

67

Publications

2.7K

Citations

288

Authors

141

Institutions

Publications per year

2017–2026

32

Authors

288

  1. WC
    Wen-Ting Cheah

    National Taiwan University, Taiwan

    2 publications · 34 citations

    2

    h-index

  2. AS
    Ashima Sindhu Mohanty

    GIET University, India

    2 publications · 49 citations

    2

    h-index

  3. YM
    Y. Mansour

    BC Hydro (Canada), Canada

    2 publications · 205 citations

    2

    h-index

  4. JH
    Jwu-Jia Hwang

    National Taiwan University, Taiwan

    2 publications · 34 citations

    2

    h-index

  5. KC
    Krishna Chandra Patra

    Sambalpur University Institute of Information Technology, India

    2 publications · 49 citations

    2

    h-index

1–5 of 288

Venues

  1. PubMed

    Repository · 2 publications · 60 citations

    2

    h-index

  2. Artificial Intelligence in Medicine

    AIM · 2 publications · 108 citations

    2

    h-index

  3. IEEE Transactions on Power Systems

    2 publications · 153 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 34 citations

    2

    h-index

  5. Neural Networks

    1 publications · 64 citations

    1

    h-index

1–5