Min-Edge P-cycles: An Efficient Approach for Computing P-cycles in Optical Data Center Networks. - Amir Mirzaeinia; Abdelmounaam Rezgui; Zaki Malik; Mehdi Mirzaeinia (CLOUD, 2019)

Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey. - Amir Mirzaeinia; Mehdi Mirzaeinia; Abdelmounaam Rezgui (CoRR, 2020)

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering. - Amir Mirzaeinia; Mehdi Mirzaeinia; Mohammad Shekaramiz; Mostafa Hassanalian (CoRR, 2020)

An analytical study on leader and follower switching in V-shaped Canada Goose flocks for energy management purposes. - Amir Mirzaeinia; F. Heppner; Mostafa Hassanalian (Swarm Intell., 2020)

CNN-DRL for Scalable Actions in Finance. - Sina Montazeri; Akram Mirzaeinia; Haseebullah Jumakhan; Amir Mirzaeinia (CoRR, 2024)

Wireguard: An Efficient Solution for Securing IoT Device Connectivity. - Haseebullah Jumakhan; Amir Mirzaeinia (CoRR, 2024)

CNN-DRL with Shuffled Features in Finance. - Sina Montazeri; Akram Mirzaeinia; Amir Mirzaeinia (CoRR, 2024)

Real-time Motion Planning for autonomous vehicles in dynamic environments. - Mohammad Dehghani Tezerjani; Dominic Carrillo; Deyuan Qu; Sudip Dhakal; Amir Mirzaeinia; Qing Yang 003 (CoRR, 2024)

Analyzing Gender Polarity in Short Social Media Texts with BERT: The Role of Emojis and Emoticons. - Saba Yousefian Jazi; Amir Mirzaeinia; Sina Yousefian Jazi (CoRR, 2024)

Deep Reinforcement Learning Strategies in Finance: Insights into Asset Holding, Trading Behavior, and Purchase Diversity. - Alireza Mohammadshafie; Akram Mirzaeinia; Haseebullah Jumakhan; Amir Mirzaeinia (CoRR, 2024)

Gradient Reduction Convolutional Neural Network Policy for Financial Deep Reinforcement Learning. - Sina Montazeri; Haseebullah Jumakhan; Sonia Abrasiabian; Amir Mirzaeinia (CoRR, 2024)

Finding Optimal Trading History in Reinforcement Learning for Stock Market Trading. - Sina Montazeri; Haseebullah Jumakhan; Amir Mirzaeinia (CoRR, 2025)