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Amin Keshavarzi
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2020 – today
- 2024
- [j10]Arezoo Ghasemi, Amin Keshavarzi:
Energy-efficient virtual machine placement in heterogeneous cloud data centers: a clustering-enhanced multi-objective, multi-reward reinforcement learning approach. Clust. Comput. 27(10): 14149-14166 (2024) - [j9]Arezoo Ghasemi, Abolfazl Toroghi Haghighat, Amin Keshavarzi:
Enhancing virtual machine placement efficiency in cloud data centers: a hybrid approach using multi-objective reinforcement learning and clustering strategies. Computing 106(9): 2897-2922 (2024) - 2023
- [j8]Arezoo Ghasemi, Abolfazl Toroghi Haghighat, Amin Keshavarzi:
Enhanced multi-objective virtual machine replacement in cloud data centers: combinations of fuzzy logic with reinforcement learning and biogeography-based optimization algorithms. Clust. Comput. 26(6): 3855-3868 (2023) - [j7]Fatemeh Ramezani Shahidani, Arezoo Ghasemi, Abolfazl Toroghi Haghighat, Amin Keshavarzi:
Task scheduling in edge-fog-cloud architecture: a multi-objective load balancing approach using reinforcement learning algorithm. Computing 105(6): 1337-1359 (2023) - 2021
- [j6]Vida Doryanizadeh, Amin Keshavarzi, Tajedin Derikvand, Mahdi Bohlouli:
Energy Efficient Cluster Head Selection in Internet of Things Using Minimum Spanning Tree (EEMST). Appl. Artif. Intell. 35(15): 1777-1802 (2021) - [j5]Amin Keshavarzi, Abolfazl Toroghi Haghighat, Mahdi Bohlouli:
Clustering of large scale QoS time series data in federated clouds using improved variable Chromosome Length Genetic Algorithm (CQGA). Expert Syst. Appl. 164: 113840 (2021) - 2020
- [j4]Rasoul Kiani, Amin Keshavarzi, Mahdi Bohlouli:
Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection Using Enhanced Neural Networks. Appl. Artif. Intell. 34(5): 345-377 (2020) - [j3]Amin Keshavarzi, Abolfazl Toroghi Haghighat, Mahdi Bohlouli:
Enhanced time-aware QoS prediction in multi-cloud: a hybrid k-medoids and lazy learning approach (QoPC). Computing 102(4): 923-949 (2020) - [i2]Rasoul Kiani, Amin Keshavarzi, Mahdi Bohlouli:
Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection using Enhanced Neural Networks. CoRR abs/2001.09209 (2020) - [i1]Amin Keshavarzi, Abolfazl Toroghi Haghighat, Mahdi Bohlouli:
Research Challenges and Prospective Business Impacts of Cloud Computing: A Survey. CoRR abs/2005.01475 (2020)
2010 – 2019
- 2017
- [j2]Amin Keshavarzi, Abolfazl Toroghi Haghighat, Mahdi Bohlouli:
Adaptive Resource Management and Provisioning in the Cloud Computing: A Survey of Definitions, Standards and Research Roadmaps. KSII Trans. Internet Inf. Syst. 11(9): 4280-4300 (2017) - [j1]Vahid Jafarizadeh, Amin Keshavarzi, Tajedin Derikvand:
Efficient cluster head selection using Naïve Bayes classifier for wireless sensor networks. Wirel. Networks 23(3): 779-785 (2017) - 2013
- [c4]Amin Keshavarzi, Abolfazl Toroghi Haghighat, Mahdi Bohlouli:
Research challenges and prospective business impacts of cloud computing: A survey. IDAACS 2013: 731-736
2000 – 2009
- 2009
- [c3]Farzad Peyravi, Amin Keshavarzi:
Agent Based Model for Call Centers Using Knowledge Management. Asia International Conference on Modelling and Simulation 2009: 51-56 - [c2]Shirin Hasanzadeh, Amin Keshavarzi:
Application of Query Sensitive Similarity Measure in IR systems. Asia International Conference on Modelling and Simulation 2009: 73-78 - 2008
- [c1]Amin Keshavarzi, Amir Masoud Rahmani, Mehran Mohsenzadeh, Reza Keshavarzi:
Recognition of Data Records in Semi-structured Web-Pages Using Ontology and chi2 Statistical Distribution. ADMA 2008: 675-682
Coauthor Index
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last updated on 2024-10-10 22:15 CEST by the dblp team
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