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Mohammad Askarizadeh
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2020 – today
- 2024
- [c6]Kaveh Mehdipourchari, Mohammad Askarizadeh, Kim Khoa Nguyen:
Shared-Resource Generative Adversarial Network (GAN) Training for 5G URLLC Deep Reinforcement Learning Augmentation. ICC 2024: 2998-3003 - 2023
- [c5]Mohammad Askarizadeh, Alireza Morsali, Mostafa Zangiabadi, Kim Khoa Nguyen:
Difference Convex (DC) Programming Approach as an Alternative Optimizer for Neural Networks. ICC 2023: 5179-5184 - 2022
- [c4]Mohammad Askarizadeh, Mostafa Hussien, Alireza Morsali, Kim Khoa Nguyen:
Modeling and Optimizing Resource-Constrained Instance-Based Transfer Learning. GLOBECOM 2022: 6366-6371 - 2021
- [c3]Mohammad Askarizadeh, Mostafa Hussien, Masoumeh Zare, Kim Khoa Nguyen:
Optimized Transfer Learning: Application for Wireless Channel Selection. CNSM 2021: 432-436 - [c2]Mohammad Askarizadeh, Mostafa Hussien, Masoumeh Zare, Kim Khoa Nguyen:
Optimized Transfer Learning For Wireless Channel Selection. GLOBECOM 2021: 1-6 - [c1]Mohammad Askarizadeh, Abolfazl Javidian, Masoumeh Zare, Kim Khoa Nguyen:
Convergence Analysis of Gravity-Based Clustering (GBC) Algorithm. SSCI 2021: 1-8 - 2020
- [j2]Zahra Mohammadi, Mohadeseh Soleimanpour-Moghadam, Mohammad Askarizadeh, Siamak Talebi:
Increasing the Lifetime of Underwater Acoustic Sensor Networks: Difference Convex Approach. IEEE Syst. J. 14(3): 3214-3224 (2020)
2010 – 2019
- 2019
- [j1]Mohadeseh Soleimanpour-Moghadam, Mohammad Askarizadeh, Siamak Talebi, Shima Esmaeili:
Low Complexity Green Cooperative Cognitive Radio Network With Superior Performance. IEEE Syst. J. 13(1): 345-356 (2019)
Coauthor Index
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last updated on 2024-09-04 01:22 CEST by the dblp team
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