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Payman Zarkesh-Ha
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Publications
- 2023
- [c45]Babak Badnava, Mona Esmaeili, Nasser Mozayani, Payman Zarkesh-Ha:
A new Potential-Based Reward Shaping for Reinforcement Learning Agent. CCWC 2023: 1-6 - 2022
- [c43]Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv, Mona Esmaeili, Amir Raeisi Nafchi, Mohsen Haji Ghorbani, Payman Zarkesh-Ha:
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM. AIIoT 2022: 201-206 - [c42]Zeinab Akhavan, Mona Esmaeili, Babak Badnava, Mohammad Yousefi, Xiang Sun, Michael Devetsikiotis, Payman Zarkesh-Ha:
Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing. GLOBECOM 2022: 2218-2223 - [c41]Sisay Tadesse Arzo, Mona Esmaeili, Yonatan Melese Worku, Zeinab Akhavan, Michael Devetsikiotis, Payman Zarkesh-Ha:
Proactive and Reactive Decision Based Agent Placement: Reliability and Latency Perspective. GLOBECOM 2022: 4413-4418 - [c40]Zeinab Akhavan, Mona Esmaeili, Michael Devetsikiotis, Payman Zarkesh-Ha:
Cross-Correlation for Streaming Seismic Time Series to Detect Events using Parallel and Real-time Methods. UEMCON 2022: 8-13 - [i2]Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv, Mona Esmaeili, Amir Raeisi Nafchi, Mohsen Haji Ghorbani, Payman Zarkesh-Ha:
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM. CoRR abs/2206.04548 (2022) - [i1]Zeinab Akhavan, Mona Esmaeili, Babak Badnava, Mohammad Yousefi, Xiang Sun, Michael Devetsikiotis, Payman Zarkesh-Ha:
Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing. CoRR abs/2209.05191 (2022)
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