Publications

  1. Khan, Muhammad Ashfaq, Md Karim, and Yangwoo Kim. "A scalable and hybrid intrusion detection system based on the convolutional-LSTM network." Symmetry 11, no. 4 (2019): 583.[IF 2.645]

  2. Khan, Muhammad Ashfaq, Md Karim, and Yangwoo Kim. "A two-stage big data analytics framework with real world applications using spark machine learning and long Short-term memory network." Symmetry 10, no. 10 (2018): 485. [IF 2.645]

  3. Khan, Muhammad Ashfaq, and Yangwoo Kim. "Cardiac arrhythmia disease classification using LSTM deep learning approach." CMC-COMPUTERS MATERIALS & CONTINUA 67, no. 1 (2021): 427-443. [IF 4.89]

  4. Siddique, Kamran, Zahid Akhtar, Muhammad Ashfaq Khan, Yong-Hwan Jung, and Yangwoo Kim. "Developing an Intrusion Detection Framework for High-Speed Big Data Networks: A Comprehensive Approach." KSII Transactions on Internet & Information Systems 12, no. 8 (2018). [IF 0.711]

  5. Khan, Muhammad Ashfaq, and Juntae Kim. "Toward Developing Efficient Conv-AE-Based Intrusion Detection System Using Heterogeneous Dataset." Electronics 9, no. 11 (2020): 1771. [IF 2.412]

  6. Usman, Muhammad Arslan, Muhammad Rehan Usman, Gandeva Bayu Satrya, Khan Muhammad Ashfaq, Christos Politis, Nada Philip, and Soo Young Shin. "QI-BRiCE: Quality Index for Bleeding Regions in Capsule Endoscopy Videos." Computers, Materials & Continua (2020). [IF 3.024]

  7. Rayan, A., Alhazemi,Khan Muhammad Ashfaq, F., Alshammari, H., & Nah, Y. (2020). Developing Cloud Computing Time Slot-availability Predictions Using an Artificial Neural Network. IEIE Transactions on Smart Processing & Computing, 9(1), 49-57.

  8. Ashraf, Shahzad, Zeeshan A. Arfeen, Muhammad A. Khan, and Tauqeer Ahmed. "SLM-OJ: Surrogate Learning Mechanism during‎ Outbreak Juncture‎." (2014).

  9. Ashraf, Shahzad, Durr Muhammad, Muhammad A. Khan, and Tauqeer Ahmed. "Fuzzy based efficient cosmetology paradigm." Int J Multidiscip Curr Res 8 (2020): 421-425.

  10. Khan, Muhammad Ashfaq, and Yangwoo Kim. Deep Learning-Based Hybrid Intelligent Intrusion Detection System ." CMC-COMPUTERS MATERIALS & CONTINUA 67, no. 1 (2021): 427-443. [IF 4.89]

  11. Deeba, F., Zhou, Y., Dharejo, F.A., Khan, M.A., Das, B., Wang, X. and Du, Y., 2021. A plexus‐convolutional neural network framework for fast remote sensing image super‐resolution in wavelet domain. IET Image Processing. [IF 1.995]

  12. Dharejo, Fayaz Ali, Yuanchun Zhou, Farah Deeba, Munsif Ali Jatoi, Muhammad Ashfaq Khan, Ghulam Ali Mallah, Abdul Ghaffar, Muhammad Chhattal, Yi Du, and Xuezhi Wang. "A deep hybrid neural network for single image dehazing via wavelet transform." Optik 231 (2021): 166462. [IF 2.187]

  13. Muhammad Ashfaq Khan, Fayaz Ali Dharejo, Farah Deeba, Shahzad Ashraf, Juntae Kim, Hoon Kim., Toward developing tangling noise removal and blind inpainting mechanism based on total variation in image processing., IET, Electronics Letters, Doi.doi.org/10.1049/ell2.12148, [IF 1.316]

  14. Muhammad Ashfaq Khan, HCRNNIDS: Hybrid Convoluataional Recurrent Neural Network-Based Intrusion Detection System, Processes, Doi.doi.org/1205426, [IF 2.753]

  15. Arfeen, Zeeshan Ahmad, Md Pauzi Abdullah, Muhammad Faisal Shehzad, Saleh Altbawi, Muhammad Ashafaq Khan Jiskani, and Muhammad Asif Imran YiRan. "A Niche Particle Swarm Optimization-Perks and Perspectives." In 2020 IEEE 10th International Conference on System Engineering and Technology (ICSET), pp. 102-107. IEEE, 2020.

  16. Muhammad ashfaq khan and Hoon kim, Deep learning based approach for predicting attacks in high speed network, accepted and presented in 7th international conference on Advanced Engineering and ICT Convergence 2021, seoul south korea

  17. Muhammad Ashfaq Khan, Yangwoo Kim; Deep Learning Approach for Big Data cardiac Arrhythmia Classification, Present in the 10th International Conference on Internet, Cambodia, Phnom Penh. ,2018.

  18. A Comparative Study of Thresholding Techniques,2015, Muhammad Ashfaq Khan, International Conference Mehran University Pakistan

  19. Simulation of HSDPA in 3G Cellular Networks,2010, M ashfaq khan