Enhancing UAV Autonomous Navigation in Indoor Environments Using Reinforcement Learning and Convolutional Neural Networks. - Homayoun Safarpour Motealegh Mahalegi; Amirfarhad Farhadi; György Molnár; Eniko Nagy (SISY, 2024)

Leveraging Meta-Learning To Improve Unsupervised Domain Adaptation. - Amirfarhad Farhadi; Arash Sharifi (Comput. J., 2024)

Leveraging Blockchain and ANFIS for Optimal Supply Chain Management. - Amirfarhad Farhadi; Homayoun Safarpour Motealegh Mahalegi; Abolfazl Pourrezaeian Firouzabad; Azadeh Zamanifar; Majid Sorouri (CoRR, 2024)

Domain adaptation in reinforcement learning: a comprehensive and systematic study. - Amirfarhad Farhadi; Mitra Mirzarezaee; Arash Sharifi; Mohammad Teshnehlab (Frontiers Inf. Technol. Electron. Eng., 2024)

A Hybrid LSTM-GRU Model for Stock Price Prediction. - Amirfarhad Farhadi; Azadeh Zamanifar; Amir Alipour; Alireza Taheri; Mohammad Asadolahi (IEEE Access, 2025)

Mobility Management With AI. - Pooyan Jahanmanesh; Amirfarhad Farhadi; Azadeh Zamanifar (IEEE Access, 2025)

Enhancing aspect-based sentiment analysis using data augmentation based on back-translation. - Alireza Taheri; Azadeh Zamanifar; Amirfarhad Farhadi (Int. J. Data Sci. Anal., 2025)

Source-Free Domain Adaptation via Multi-view Contrastive Learning. - Amirfarhad Farhadi; Naser Mozayani; Azadeh Zamanifar (CoRR, 2025)

SILS: Strategic Influence on Liquidity Stability and Whale Detection in Concentrated-Liquidity DEXs. - Ali RajabiNekoo; Laleh Rasoul; Amirfarhad Farhadi; Azadeh Zamanifar (CoRR, 2025)