Amir Mirzaeinia

According to our database, Amir Mirzaeinia authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Gradient Reduction Convolutional Neural Network Policy for Financial Deep Reinforcement Learning.

Sina Montazeri, Haseebullah Jumakhan, Sonia Abrasiabian, Amir Mirzaeinia

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

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

Real-time Motion Planning for autonomous vehicles in dynamic environments.

Mohammad Dehghani Tezerjani, Dominic Carrillo, Deyuan Qu, Sudip Dhakal, Amir Mirzaeinia, Qing Yang

CoRR, 2024

CNN-DRL with Shuffled Features in Finance.

Sina Montazeri, Akram Mirzaeinia, Amir Mirzaeinia

CoRR, 2024

Wireguard: An Efficient Solution for Securing IoT Device Connectivity.

Haseebullah Jumakhan, Amir Mirzaeinia

CoRR, 2024

CNN-DRL for Scalable Actions in Finance.

Sina Montazeri, Akram Mirzaeinia, Haseebullah Jumakhan, Amir Mirzaeinia

CoRR, 2024

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

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering.

Amir Mirzaeinia, Mehdi Mirzaeinia, Mohammad Shekaramiz, Mostafa Hassanalian

CoRR, 2020

Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey.

Amir Mirzaeinia, Mehdi Mirzaeinia, Abdelmounaam Rezgui

CoRR, 2020

2019

Min-Edge P-cycles: An Efficient Approach for Computing P-cycles in Optical Data Center Networks.

Amir Mirzaeinia, Abdelmounaam Rezgui, Zaki Malik, Mehdi Mirzaeinia

Proceedings of the Cloud Computing - CLOUD 2019, 2019