Khan, Asifullah

Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies

Idris, A., Rizwan, M., & Khan, A. (2012) · Computers & Electrical Engineering

Customer churn and segmentationImbalanced Data Classification Techniques

Cited by 139

Multi-Agent Reinforcement Learning for Traffic Flow Management of Autonomous Vehicles

Mushtaq, A., Haq, I. U., Sarwar, M. A., Khan, A., Khalil, W., & Mughal, M. A. (2023) · Sensors

Traffic control and managementReinforcement Learning in Robotics

Cited by 61

Data-driven strategies for drug repurposing: insights, recommendations, and case studies

Savander, S., Curabaz, N. N., Abbasi, A. M., Khan, A., Saeed, K., & Tanoli, Z. (2025) · Briefings in Bioinformatics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 10

Data-driven strategies for drug repurposing: insights, recommendations, and case studies

Savander, S., Curabaz, N. N., Abbasi, A. M., Khan, A., Saeed, K., & Tanoli, Z. (2025) · Briefings in Bioinformatics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 10

Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks

Khan, S. H., Sohail, A., Khan, A., & Lee, Y. S. (2020) · arXiv

COVID-19 diagnosis using AIMedical Image Segmentation Techniques

Cited by 6