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Ali Alizadeh
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2020 – today
- 2024
- [j5]Ali Alizadeh, Moein Esfahani, Bo Cao, Innocent Kamwa, Minghui Xu:
A Distributed-Decentralized Tri-Layer Game-Based Transactive Energy Framework Including Adaptive Proximal ADMM and Scale- Independent DRO. IEEE Access 12: 82068-82082 (2024) - [j4]Ali Alizadeh, Farhad Soleimanian Gharehchopogh, Mohammad Masdari, Ahmad Jafarian:
An improved hybrid salp swarm optimization and African vulture optimization algorithm for global optimization problems and its applications in stock market prediction. Soft Comput. 28(6): 5225-5261 (2024) - [c8]Ali Alizadeh, Innocent Kamwa, Bo Cao, Minghui Xu:
A Tight Convex Model of Optimal Gas Flow Problem in Local Networks: Distributed Gas and Power Scheduling Application. CCECE 2024: 501-506 - 2023
- [c7]Seyed Masoud Mohseni-Bonab, Ali Alizadeh, Innocent Kamwa, Abbas Rabiee:
A Two-Stage Stochastic Techno-Economic Optimal ESS Sizing Model to Enable Maximum Exploitation of RESs. ISGT EUROPE 2023: 1-5 - 2022
- [c6]Ali Alizadeh, Innocent Kamwa, Ali Moeini, Seyed Masoud Mohseni-Bonab:
An Efficient Distributed Transactive Energy Control Model Using Adaptive Consensus ADMM. ICSC 2022: 496-501 - 2021
- [j3]Farhad Soleimanian Gharehchopogh, Behnam Farnad, Ali Alizadeh:
A modified farmland fertility algorithm for solving constrained engineering problems. Concurr. Comput. Pract. Exp. 33(17) (2021) - [j2]Ali Azizi, Farrokh Aminifar, Moein Moeini-Aghtaie, Ali Alizadeh:
Transactive Energy Market Mechanism With Loss Implication. IEEE Trans. Smart Grid 12(2): 1215-1223 (2021) - [c5]Majid Moghadam, Ali Alizadeh, Engin Tekin, Gabriel Hugh Elkaim:
A Deep Reinforcement Learning Approach for Long-term Short-term Planning on Frenet Frame. CASE 2021: 1751-1756 - [c4]Ali Alizadeh, Navid Malek Alayi, Alireza Fereidunian, Hamid Lesani:
A Recurrent Neural Network Approach to Model Failure Rate Considering Random and Deteriorating Failures. CSICC 2021: 1-7 - 2020
- [i3]Yunus Bicer, Ali Alizadeh, Nazim Kemal Ure, Ahmetcan Erdogan, Orkun Kizilirmak:
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation. CoRR abs/2007.14671 (2020) - [i2]Majid Moghadam, Ali Alizadeh, Engin Tekin, Gabriel Hugh Elkaim:
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space. CoRR abs/2011.13098 (2020)
2010 – 2019
- 2019
- [c3]Yunus Bicer, Ali Alizadeh, Nazim Kemal Ure, Ahmetcan Erdogan, Orkun Kizilirmak:
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation. IROS 2019: 2629-2634 - [c2]Ali Alizadeh, Majid Moghadam, Yunus Bicer, Nazim Kemal Ure, Muharrem Ugur Yavas, Can Kurtulus:
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment. ITSC 2019: 1399-1404 - [c1]N. Kemal Ure, Muharrem Ugur Yavas, Ali Alizadeh, Can Kurtulus:
Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning. IV 2019: 626-631 - [i1]Ali Alizadeh, Majid Moghadam, Yunus Bicer, Nazim Kemal Ure, Muharrem Ugur Yavas, Can Kurtulus:
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment. CoRR abs/1909.11538 (2019) - 2018
- [j1]Ali Alizadeh, Sohrab Effati:
Modified Adomian decomposition method for solving fractional optimal control problems. Trans. Inst. Meas. Control 40(6): 2054-2061 (2018)
Coauthor Index
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last updated on 2024-11-25 22:44 CET by the dblp team
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