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Nanomaterials (Basel, Switzerland)
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November 12, 2025
Enhancing CaV<sub>0.5</sub>Fe<sub>0.5</sub>O<sub>3</sub>-Based Lead-Free Perovskite Solar Cell Efficiency by over 23% via Transport Layer Engineering
Syed Abdul Moiz, Muhammad I Masud
Diagnostics (Basel, Switzerland)
|
January 28, 2026
Impact of CT Intensity and Contrast Variability on Deep-Learning-Based Lung-Nodule Detection: A Systematic Review of Preprocessing and Harmonization Strategies (2020-2025)
Saba Khan, Muhammad Nouman Noor, Imran Ashraf, et al.
Micromachines
|
October 28, 2023
Novel Second-Order Fully Differential All-Pass Filter Using CNTFETs
Muhammad I Masud, Iqbal A Khan, Syed Abdul Moiz, et al.
Plos One
|
November 6, 2025
Machine learning based fault classification for improved induction motor performance
Zawar Ahmed Khan, Muhammad Amir Raza, Muhammad I Masud, et al.
Scientific Reports
|
February 25, 2026
Global solar energy potential forecasting through machine learning and deep learning models
Muhammad Amir Raza, Abdul Karim, Muneera Altayeb, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Nanomaterials (Basel, Switzerland)
|
November 12, 2025
Enhancing CaV<sub>0.5</sub>Fe<sub>0.5</sub>O<sub>3</sub>-Based Lead-Free Perovskite Solar Cell Efficiency by over 23% via Transport Layer Engineering
Syed Abdul Moiz, Muhammad I Masud
Diagnostics (Basel, Switzerland)
|
January 28, 2026
Impact of CT Intensity and Contrast Variability on Deep-Learning-Based Lung-Nodule Detection: A Systematic Review of Preprocessing and Harmonization Strategies (2020-2025)
Saba Khan, Muhammad Nouman Noor, Imran Ashraf, et al.
Micromachines
|
October 28, 2023
Novel Second-Order Fully Differential All-Pass Filter Using CNTFETs
Muhammad I Masud, Iqbal A Khan, Syed Abdul Moiz, et al.
Plos One
|
November 6, 2025
Machine learning based fault classification for improved induction motor performance
Zawar Ahmed Khan, Muhammad Amir Raza, Muhammad I Masud, et al.
Scientific Reports
|
February 25, 2026
Global solar energy potential forecasting through machine learning and deep learning models
Muhammad Amir Raza, Abdul Karim, Muneera Altayeb, et al.
Page
of 1