Amirfarhad Farhadi

According to our database, Amirfarhad Farhadi authored at least 15 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Source-free domain adaptation via multi-view contrastive learning.

Amirfarhad Farhadi, Nasser Mozayani, Azadeh Zamanifar

J. Supercomput., May, 2026

TA-RNN-Medical-Hybrid: A Time-Aware and Interpretable Framework for Mortality Risk Prediction.

Zahra Jafari, Azadeh Zamanifar, Amirfarhad Farhadi

CoRR, March, 2026

Deep Reinforcement Learning for Optimizing Energy Consumption in Smart Grid Systems.

Abeer Alsheikhi, Amirfarhad Farhadi, Azadeh Zamanifar

CoRR, February, 2026

TinyGuard:A lightweight Byzantine Defense for Resource-Constrained Federated Learning via Statistical Update Fingerprints.

Ali Mahdavi, Santa Aghapour, Azadeh Zamanifar, Amirfarhad Farhadi

CoRR, February, 2026

A systematic literature review: Generative artificial intelligence applications for ground mobile robot navigation.

Fatemeh Rashidi Ranjbar, Amirfarhad Farhadi, Azadeh Zamanifar, Majid Sorouri

Comput. Electr. Eng., 2026

Artificial intelligence methods for financial market prediction: A systematic review.

Deniz NoorMohammadzadehMaleki, Sina Abbaskhani, Amirfarhad Farhadi, Azadeh Zamanifar

Comput. Electr. Eng., 2026

2025

SILS: Strategic Influence on Liquidity Stability and Whale Detection in Concentrated-Liquidity DEXs.

Ali RajabiNekoo, Laleh Rasoul, Amirfarhad Farhadi, Azadeh Zamanifar

CoRR, July, 2025

Enhancing aspect-based sentiment analysis using data augmentation based on back-translation.

Alireza Taheri, Azadeh Zamanifar, Amirfarhad Farhadi

Int. J. Data Sci. Anal., April, 2025

Mobility Management With AI.

Pooyan Jahanmanesh, Amirfarhad Farhadi, Azadeh Zamanifar

IEEE Access, 2025

A Hybrid LSTM-GRU Model for Stock Price Prediction.

Amirfarhad Farhadi, Azadeh Zamanifar, Amir Alipour, Alireza Taheri, Mohammad Asadolahi

IEEE Access, 2025

Meta-Optimized Risk-Aware Portfolio Management: A Hybrid Deep Reinforcement Learning and LSTM-GRU Ensemble.

Majid Sorouri, Deniz NoorMohammadzadehMaleki, Arman Salehi, Amirfarhad Farhadi, Azadeh Zamanifar

Proceedings of the 10th South-East Europe Design Automation, 2025

2024

Domain adaptation in reinforcement learning: a comprehensive and systematic study.

Amirfarhad Farhadi, Mitra Mirzarezaee, Arash Sharifi, Mohammad Teshnehlab

Frontiers Inf. Technol. Electron. Eng., November, 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

Leveraging Meta-Learning To Improve Unsupervised Domain Adaptation.

Amirfarhad Farhadi, Arash Sharifi

Comput. J., 2024

Enhancing UAV Autonomous Navigation in Indoor Environments Using Reinforcement Learning and Convolutional Neural Networks.

Homayoun Safarpour Motealegh Mahalegi, Amirfarhad Farhadi, György Molnár, Eniko Nagy

Proceedings of the 22nd IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2024