Hasil Pencarian - Muhammad Hamza Azam

  • Menampilkan 1 - 3 hasil dari 3
Perbaiki Hasil
  1. 1
    A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy

    A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy oleh Muhammad Hamza Azam, Mohd Hilmi Hasan, Saima Hassan, Said Jadid Abdulkadir

    Diterbitkan 2021-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Generating Clustering-Based Interval Fuzzy Type-2 Triangular and Trapezoidal Membership Functions: A Structured Literature Review

    Generating Clustering-Based Interval Fuzzy Type-2 Triangular and Trapezoidal Membership Functions: A Structured Literature Review oleh Siti Hajar Khairuddin, Mohd Hilmi Hasan, Manzoor Ahmed Hashmani, Muhammad Hamza Azam

    Diterbitkan 2021-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Unraveling the Black Box: A Review of Explainable Deep Learning Healthcare Techniques

    Unraveling the Black Box: A Review of Explainable Deep Learning Healthcare Techniques oleh Nafeesa Yousuf Murad, Mohd Hilmi Hasan, Muhammad Hamza Azam, Nadia Yousuf, Jameel Shehu Yalli

    Diterbitkan 2024-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: