Journal

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

Khan, A., Khan, S.H., Saif, M., Batool A., Sohail A., and Khan, M. W.

2023, Journal of Theoretical and Experimental Artificial Intelligence

Drone Navigation Using Region and Edge Exploitation-Based Deep CNN

Arshad, M. A., Khan, S.H., Qamar, S., Khan, M. W., Murtaza, I., Gwak, J. and Khan, A.

2022, IEEE Access

Deep Convolutional Neural Network and Emotional Learning Based Breast Cancer Detection Using Digital Mammography

Chouhan, N., Khan, A., Shah, J., Hussnain, M. and Khan, M. W.

2021, Computers in Biology and Medicine

Controller Design for a Fractional-Order Nonlinear Glucose-Insulin System Using Feedback Linearization

Khan, M. W., Abid, M., Khan, A.Q. and Mustafa, G.

2020, Transactions of the Institute of Measurement and Control

Sliding mode Control for a Fractional-Order Nonlinear Glucose-Insulin System

Khan, M. W., Abid, M., Khan, A.Q., Mustafa, G., Ali M. and Khan A.

2020, IET Systems Biology

Conference

Energy-Optimal Allocation of a Heterogeneous Delivery Fleet in a Dynamic Network of Distribution and Fulfillment Centers

Khan, M. W., Villani M., and Ahmed Q.

2024, SAE Technical Paper

Development of a Low-Cost Sensor-Based Adaptive Gripper

Khan, M.W., Khan, A., Khurshid A. and Ali. M.

2020, International Symposium on Recent Advances in Electrical Engineering and Computer Sciences (RAEE & CS), pp. 1-6. IEEE

Fractional Order Bergman's Minimal Model-A Better Representation of Blood Glucose-Insulin System

Khan, M.W., Abid, M. and Khan, A.Q.

2019, International Conference on Applied and Engineering Mathematics (ICAEM), pp. 68-73. IEEE

Preprints

Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks

Abbas, M., Khan, A., Qureshi, A.S. and Khan, M.W.

2020, arxiv.org

Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture

Saeed Qureshi, A., Khan, A. and Khan, M. W.

2020, arxiv.org