Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry. - Uzair Ahmed; Asifullah Khan; Saddam Hussain Khan; Abdul Basit 007; Irfan Ul Haq; Yeon Soo Lee (CoRR, 2019)

Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks. - Saddam Hussain Khan; Anabia Sohail; Asifullah Khan; Yeon Soo Lee (CoRR, 2020)

COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN. - Saddam Hussain Khan; Anabia Sohail; Asifullah Khan (CoRR, 2020)

COVID-19 detection in chest X-ray images using deep boosted hybrid learning. - Saddam Hussain Khan; Anabia Sohail; Asifullah Khan; Mehdi Hassan; Yeon Soo Lee; Jamshed Alam; Abdul Basit 007; Saima Zubair (Comput. Biol. Medicine, 2021)

Malware Classification Using Deep Boosted Learning. - Muhammad Asam; Saddam Hussain Khan; Tauseef Jamal; Umme Zahoora; Asifullah Khan (CoRR, 2021)

Drone Navigation Using Region and Edge Exploitation-Based Deep CNN. - Muhammad Arif Arshad; Saddam Hussain Khan; Suleman Qamar; Muhammad Waleed Khan; Iqbal Murtza; Jeonghwan Gwak; Asifullah Khan (IEEE Access, 2022)

Autonomous Drone Swarm Navigation and Multitarget Tracking With Island Policy-Based Optimization Framework. - Suleman Qamar; Saddam Hussain Khan; Muhammad Arif Arshad; Maryam Qamar; Jeonghwan Gwak; Asifullah Khan (IEEE Access, 2022)

A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI. - Mirza Mumtaz Zahoor; Shahzad Ahmad Qureshi; Saddam Hussain Khan; Asifullah Khan (CoRR, 2022)

IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN. - Muhammad Asam; Saddam Hussain Khan; Tauseef Jamal; Asifullah Khan (CoRR, 2022)

Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles. - Suleman Qamar; Saddam Hussain Khan; Muhammad Arif Arshad; Maryam Qamar; Asifullah Khan (CoRR, 2022)

COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs. - Saddam Hussain Khan (CoRR, 2022)

Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN. - Mirza Mumtaz Zahoor; Saddam Hussain Khan (CoRR, 2022)

Malaria Parasitic Detection using a New Deep Boosted and Ensemble Learning Framework. - Saddam Hussain Khan (CoRR, 2022)

A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection. - Saddam Hussain Khan; Wasi Ullah (CoRR, 2022)

A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI. - Mirza Mumtaz Zahoor; Shahzad Ahmad Qureshi; Sameena Bibi; Saddam Hussain Khan; Asifullah Khan; Usman Ghafoor; Muhammad Raheel Bhutta (Sensors, 2022)

COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological Images. - Saddam Hussain Khan (CoRR, 2023)

A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection. - Saddam Hussain Khan; Rashid Iqbal; Saeeda Naz (CoRR, 2023)

A Recent Survey of Vision Transformers for Medical Image Segmentation. - Asifullah Khan; Zunaira Rauf; Abdul Rehman Khan; Saima Rathore; Saddam Hussain Khan; Najmus Sahar Shah; Umair Farooq; Hifsa Asif; Aqsa Asif; Umme Zahoora; Rafi Ullah Khalil; Suleman Qamar; et al. (CoRR, 2023)

Segmentation of shoulder muscle MRI using a new Region and Edge based Deep Auto-Encoder. - Saddam Hussain Khan; Asifullah Khan; Yeon Soo Lee; Mehdi Hassan; Woong Kyo Jeong (Multim. Tools Appl., 2023)

A new deep boosted CNN and ensemble learning based IoT malware detection. - Saddam Hussain Khan; Tahani Jaser Alahmadi; Wasi Ullah; Javed Iqbal 002; Azizur Rahim; Hend Khalid Alkahtani; Wajdi Alghamdi; Alaa Omran Almagrabi (Comput. Secur., 2023)

COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs. - Saddam Hussain Khan; Javed Iqbal 002; Syed Agha Hassnain Mohsan; Muhammad Owais; Samih Mohemmed Mostafa; Myriam Hadjouni; Amena Mahmoud (Expert Syst. Appl., 2023)

A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting. - Riaz Ud Din; Salman Ahmed; Saddam Hussain Khan (CoRR, 2024)

A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis. - Saddam Hussain Khan (CoRR, 2024)

RS-FME-SwinT: A Novel Feature Map Enhancement Framework Integrating Customized SwinT with Residual and Spatial CNN for Monkeypox Diagnosis. - Saddam Hussain Khan; Rashid Iqbal (CoRR, 2024)

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron. - Asifullah Khan; Saddam Hussain Khan; Mahrukh Saif; Asiya Batool; Anabia Sohail; Muhammad Waleed Khan (J. Exp. Theor. Artif. Intell., 2024)

A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection. - Aamir Mehmood; Yue Hu; Saddam Hussain Khan (CoRR, 2025)

A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions. - Saddam Hussain Khan; Rashid Iqbal (CoRR, 2025)