Hasil Pencarian - Saad Zafar

  • Menampilkan 1 - 5 hasil dari 5
Perbaiki Hasil
  1. 1
    Trends on The Use of E-Learning in Continuing Medical Education: A Review

    Trends on The Use of E-Learning in Continuing Medical Education: A Review oleh Saad Zafar, Bushra Malik

    Diterbitkan 2014-04-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Synthesis and Characterization of Sulfur and Sulfur-Selenium Nanoparticles Loaded on Reduced Graphene Oxide and Their Antibacterial Activity against Gram-Positive Pathogens

    Synthesis and Characterization of Sulfur and Sulfur-Selenium Nanoparticles Loaded on Reduced Graphene Oxide and Their Antibacterial Activity against Gram-Positive Pathogens oleh Rashmi Niranjan, Saad Zafar, Bimlesh Lochab, Richa Priyadarshini

    Diterbitkan 2022-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Facile Synthesis of a Z‑Scheme ZnIn2S4/MoO3 Heterojunction with Enhanced Photocatalytic Activity under Visible Light Irradiation

    Facile Synthesis of a Z‑Scheme ZnIn2S4/MoO3 Heterojunction with Enhanced Photocatalytic Activity under Visible Light Irradiation oleh Azam Khan, Mohtaram Danish, Umair Alam, Saad Zafar, Mohammad Muneer

    Diterbitkan 2020-04-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Recapitulation of Peste des Petits Ruminants (PPR) Prevalence in Small Ruminant Populations of Pakistan from 2004 to 2023: A Systematic Review and Meta-Analysis

    Recapitulation of Peste des Petits Ruminants (PPR) Prevalence in Small Ruminant Populations of Pakistan from 2004 to 2023: A Systematic Review and Meta-Analysis oleh Saad Zafar, Muhammad Shehroz Sarfraz, Sultan Ali, Laiba Saeed, Muhammad Shahid Mahmood, Aman Ullah Khan, Muhammad Naveed Anwar

    Diterbitkan 2024-06-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Quantum long short-term memory (QLSTM) vs. classical LSTM in time series forecasting: a comparative study in solar power forecasting

    Quantum long short-term memory (QLSTM) vs. classical LSTM in time series forecasting: a comparative study in solar power forecasting oleh Saad Zafar Khan, Nazeefa Muzammil, Salman Ghafoor, Haibat Khan, Syed Mohammad Hasan Zaidi, Abdulah Jeza Aljohani, Imran Aziz

    Diterbitkan 2024-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: