Faculty of Information Technology

  1. Waqas, S. M., Khan, S., Talpur, K., & Khan, R. A. (2024). Density peaks clustering based on Gaussian fuzzy neighborhood with noise parameter. Expert Systems with Applications, 255, 124782.
  2. Rasheed, F., Khan, S., Waqas, S. M., Khan, R. A., & Arif, S. (2024). Survey dataset on mental health in tech professionals from open sourcing mental health surveys (2017–2021). Data in Brief, 54, 110377.
  3. Nasir, S., Khan, R. A., & Bai, S. (2024). Ethical framework for harnessing the power of ai in healthcare and beyond. IEEE Access, 12, 31014-31035.
  4. Sajid, U., Khan, R. A., Shah, S. M., & Arif, S. (2023). Breast cancer classification using deep learned features boosted with handcrafted features. Biomedical Signal Processing and Control, 86, 105353.
  5. Laraib, U., Shaukat, A., Khan, R. A., Mustansar, Z., Akram, M. U., & Asgher, U. (2023). Recognition of Children’s Facial Expressions Using Deep Learned Features. Electronics, 12(11), 2416.
  6. Shah, S. M., Khan, R. A., Arif, S., & Sajid, U. (2022). Artificial intelligence for breast cancer analysis: Trends & directions. Computers in Biology and Medicine, 142, 105221.
  7. Shah, S. M., Moinuddin, M., & Khan, R. A. (2022). A robust approach for speaker identification using dialect information. Applied Computational Intelligence and Soft Computing, 2022(1), 4980920.
  8. Sharif, H., & Khan, R. A. (2022). A novel machine learning based framework for detection of autism spectrum disorder (ASD). Applied Artificial Intelligence, 36(1), 2004655.
  9. Nasir, A., & Khan, R. A. (2021). A novel combinatorial optimization-based feature selection method for network intrusion detection. Computers & Security, 102, 102164.
  10. Crenn, A., Meyer, A., Konik, H., Khan, R. A., & Bouakaz, S. (2020). Generic body expression recognition based on synthesis of realistic neutral motion. IEEE Access, 8, 207758-207767.
  11. Memon, J., Sami, M., Khan, R. A., & Uddin, M. (2020). Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR). IEEE access, 8, 142642-142668.
  12. Shah, S. M., & Khan, R. A. (2020). Secondary use of electronic health record: Opportunities and challenges. IEEE access, 8, 136947-136965.
  13. Munir, R., & Khan, R. A. (2019). An extensive review on spectral imaging in biometric systems: Challenges & advancements. Journal of Visual Communication and Image Representation, 65, 102660.
  14. Rasheed, F., Khan, S., Waqas, S. M., Khan, R. A., & Arif, S. (2024). Survey dataset on mental health in tech professionals from open sourcing mental health surveys (2017–2021). Data in Brief, 54, 110377.
  15. Nasir, S., Khan, R. A., & Bai, S. (2024). Ethical framework for harnessing the power of ai in healthcare and beyond. IEEE Access, 12, 31014-31035.
  16. Waqas, S. M., Hussain, K., Mostafa, S. A., Nawi, N. M., & Khan, S. (2022, May). Fuzzy density-based clustering for medical diagnosis. In International Conference on Soft Computing and Data Mining (pp. 264-271). Cham: Springer International Publishing.
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