A transfer learning approach with convolutional neural network for Face Mask Detection. - Abolfazl Younesi; Reza Afrouzian; Yousef Seyfari (CoRR, 2023)

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. - Abolfazl Younesi; Mohsen Ansari; MohammadAmin Fazli; Alireza Ejlali; Muhammad Shafique 001; Jörg Henkel (IEEE Access, 2024)

Corrections to "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends". - Abolfazl Younesi; Mohsen Ansari; MohammadAmin Fazli; Alireza Ejlali; Muhammad Shafique 001; Jörg Henkel (IEEE Access, 2024)

GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing. - Abolfazl Younesi; Mohsen Ansari; Alireza Ejlali; MohammadAmin Fazli; Muhammad Shafique 001; Jörg Henkel (CoRR, 2024)

A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks. - Abolfazl Younesi; MohammadAmin Fazli; Alireza Ejlali (J. Grid Comput., 2024)

QIGA: Quantum-Inspired Genetic Algorithm for Dynamic Scheduling in Mobile Edge Computing. - Sadra Galavani; Abolfazl Younesi; Mohsen Ansari (CSICC, 2025)

ARGENT: Energy-Aware Scheduling in Edge Computing Using Energy Valley Optimizer. - Mehrab Toghani; Sareh Maleki; Abolfazl Younesi; Sepideh Safari; Shaahin Hessabi (CSICC, 2025)

DIST: Distributed Learning-Based Energy-Efficient and Reliable Task Scheduling and Resource Allocation in Fog Computing. - Elyas Oustad; Abolfazl Younesi; Mohsen Ansari; Sepideh Safari; Mohammad Arman Soleimani; Jörg Henkel; Alireza Ejlali (IEEE Trans. Serv. Comput., 2025)

MoTiCPS: Energy Optimization on Multi-Objective Task Scheduling in IoT-Integrated Cyber-Physical Systems. - Abolfazl Younesi; Elyas Oustad; Mohammad Abolnejadian; Mohsen Ansari; Alireza Ejlali (IEEE Trans. Sustain. Comput., 2025)