Imran Ashraf

A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems

Muhammad Imran, Ali Raza, I. Ashraf, 2023, Comput. Secur..

Adaptive Filtering: Issues, Challenges, and Best-Fit Solutions Using Particle Swarm Optimization Variants

Imran Shafi, Isabel de la Torre Díez, S. G. Khawaja, 2023, Sensors.

Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction

Hafeez-U. R. Siddiqui, Mubarak Almutairi, Ali Raza, 2022, PloS one.

Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model

Mejdl S. Safran, Sultan Alfarhood, Umair Shafique, 2023, Sensors.

Analyzing influence of COVID-19 on crypto & financial markets and sentiment analysis using deep ensemble model

P. Washington, F. Rustam, Imran Ashraf, 2023, PloS one.

A systematic review of physiological signals based driver drowsiness detection systems

Hafeez-U. R. Siddiqui, Adil Ali Saleem, S. Dudley, 2022, Cognitive Neurodynamics.

COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray images

S. Ullah, I. Ashraf, Muhammad Umer, 2021, Journal of Ambient Intelligence and Humanized Computing.

Predicting Pulsars from Imbalanced Dataset with Hybrid Resampling Approach

Wajdi Aljedaani, Ernesto Lee, Furqan Rustam, 2021, Advances in Astronomy.