IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-Resolution. - Alireza Aghelan; Ali Amiryan; Abolfazl Zarghani; Behnoush Hatami (CoRR, 2024)

Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient Readmission. - Abolfazl Zarghani (CoRR, 2024)

Designing Adaptive Algorithms Based on Reinforcement Learning for Dynamic Optimization of Sliding Window Size in Multi-Dimensional Data Streams. - Abolfazl Zarghani; Sadegh Abedi (CoRR, 2025)

Multimodal Framework for Explainable Autonomous Driving: Integrating Video, Sensor, and Textual Data for Enhanced Decision-Making and Transparency. - Abolfazl Zarghani; Amirhossein Ebrahimi; Amir Malekesfandiari (CoRR, 2025)