Automated Breast Mass Classification System Using Deep Learning and Ensemble Learning in Digital Mammogram. - Sharaf J. Malebary; Arshad Hashmi (IEEE Access, 2021)

A Theoretical Study of the Representational Power of Weighted Randomised Univariate Regression Tree Ensembles. - Amir Ahmad; Sami M. Halawani; Ajay Kumar 003; Arshad Hashmi; Mutasem Jarrah; Abdul Rafey Ahmad; Zia Abbas (J. Inf. Knowl. Manag., 2024)

Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach. - Umesh Kumar Lilhore; Surjeet Dalal; Neetu Faujdar; Sarita Simaiya; Mamta Dahiya; Shilpi Tomar; Arshad Hashmi (Multim. Tools Appl., 2024)

Adversarial deep learning for improved abdominal organ segmentation in CT scans. - Lakshmana Phaneendra Maguluri; Kuldeep Chouhan; R. Balamurali; R. Rani; Arshad Hashmi; Ajmeera Kiran; A. Rajaram (Multim. Tools Appl., 2024)

A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment. - Himani Saini; Gopal Singh; Sandeep Dalal; Iyyappan Moorthi; Sultan Mesfer Aldossary; Nasratullah Nuristani; Arshad Hashmi (J. Cloud Comput., 2024)

Evaluating Generative Adversarial Networks for Virtual Contrast-Enhanced Kidney Segmentation using Res-UNet in Non-Contrast CT Images. - Maganti Syamala; Raja Chandrasekaran; R. Balamurali; R. Rani; Arshad Hashmi; Ajmeera Kiran; A. Rajaram (Multim. Tools Appl., 2025)

An efficient and resilient IoT architecture for smart grids via quantum key distribution and multi-homocryption encryption. - Jiangang Feng; Faeiz M. Alserhani; Asmaa A. Hamad; Hassan Alsberi; Najah Kalifah Almazmomi; Arshad Hashmi (Quantum Inf. Process., 2025)