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ORCIDFaramarz Safi Esfahani
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- affiliation: Islamic Azad University, Najafabad, Iran
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2020 – today
- 2025
[j45]Habib Larian, Faramarz Safi-Esfahani:
InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems. Computing 107(1): 41 (2025)- [j44]Hamidreza Fardad, Faramarz Safi-Esfahani, Behrang Barekatain:
Optimizing production planning and sequencing in hot strip mills: an approach using multi-objective genetic algorithms. J. Supercomput. 81(1): 88 (2025) - [j43]Behnam Salari-Hamzehkhani, Mehdi Akbari, Faramarz Safi-Esfahani:
Introducing an improved deep reinforcement learning algorithm for task scheduling in cloud computing. J. Supercomput. 81(1): 295 (2025) - 2024
- [j42]Morteza Karimian-kelishadrokhi
, Faramarz Safi-Esfahani:
Application of the time-distributed layer in the controller of memory-augmented neural networks to classify brain activities into motor imagery and motor execution. Appl. Soft Comput. 162: 111771 (2024) - [j41]Sayed Yousef Monir Vaghefi, Faramarz Safi-Esfahani, Shervan Fekri Ershad, Sayed Mahmoud Monir Vaghefi:
From one-dimensional to multidimensional map neural networks. Appl. Soft Comput. 167: 112457 (2024) - [j40]Morteza Karimian-kelishadrokhi, Faramarz Safi-Esfahani:
TD-LSTM: a time distributed and deep-learning-based architecture for classification of motor imagery and execution in EEG signals. Neural Comput. Appl. 36(25): 15843-15868 (2024) - 2023
- [j39]Zahra-Sadat Asaei-Moamam, Faramarz Safi Esfahani, Seyedali Mirjalili, Reza Mohammadpour, Mohammad-Hossein Nadimi-Shahraki:
Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine. Appl. Soft Comput. 147: 110723 (2023) - [j38]Zakieh Sharifian, Behrang Barekatain, Alfonso Ariza-Quintana, Zahra Beheshti, Faramarz Safi-Esfahani:
Sin-Cos-bIAVOA: A new feature selection method based on improved African vulture optimization algorithm and a novel transfer function to DDoS attack detection. Expert Syst. Appl. 228: 120404 (2023) - [j37]Zahra-Sadat Asaei-Moamam, Faramarz Safi Esfahani, Seyedali Mirjalili, Reza Mohammadpour, Mohammad-Hossein Nadimi-Shahraki:
DAerosol-NTM: applying deep learning and neural Turing machine in aerosol prediction. Neural Comput. Appl. 35(34): 24123-24159 (2023) - 2022
- [j36]Mohammad Jafarzadegan, Faramarz Safi-Esfahani, Zahra Beheshti:
An Agglomerative Hierarchical Clustering Framework for Improving the Ensemble Clustering Process. Cybern. Syst. 53(8): 679-701 (2022) - [j35]Ahmad Nekooei-Joghdani, Faramarz Safi-Esfahani:
Dynamic scheduling of independent tasks in cloud computing applying a new hybrid metaheuristic algorithm including Gabor filter, opposition-based learning, multi-verse optimizer, and multi-tracker optimization algorithms. J. Supercomput. 78(1): 1182-1243 (2022) - [j34]Zakieh Sharifian, Behrang Barekatain, Alfonso Ariza-Quintana, Zahra Beheshti, Faramarz Safi-Esfahani:
LOADng-AT: a novel practical implementation of hybrid AHP-TOPSIS algorithm in reactive routing protocol for intelligent IoT-based networks. J. Supercomput. 78(7): 9521-9569 (2022) - [j33]Sepide Masoudi, Faramarz Safi-Esfahani:
SM@RMFFOG: sensor mining at resource management framework of fog computing. J. Supercomput. 78(17): 19188-19227 (2022) - 2021
- [j32]Elham Saeedi, Faramarz Safi Esfahani:
Time and structural anomalies detection in business processes using process mining. Int. J. Bus. Intell. Data Min. 18(3): 309-331 (2021) - [j31]Mohammad Reza Shirani, Faramarz Safi-Esfahani:
Dynamic scheduling of tasks in cloud computing applying dragonfly algorithm, biogeography-based optimization algorithm and Mexican hat wavelet. J. Supercomput. 77(2): 1214-1272 (2021) - [j30]Maryam Chehelgerdi-Samani, Faramarz Safi-Esfahani:
PCVM.ARIMA: predictive consolidation of virtual machines applying ARIMA method. J. Supercomput. 77(3): 2172-2206 (2021) - 2020
- [j29]Mandana Farhang, Faramarz Safi-Esfahani:
Recognizing MapReduce Straggler Tasks in Big Data Infrastructures Using Artificial Neural Networks. J. Grid Comput. 18(4): 879-901 (2020) - [j28]Soroor Malekmohamadi Faradonbe, Faramarz Safi-Esfahani:
A classifier task based on Neural Turing Machine and particle swarm algorithm. Neurocomputing 396: 133-152 (2020) - [j27]Masoud Sabet Rasekh, Faramarz Safi-Esfahani:
EDNC: Evolving Differentiable Neural Computers. Neurocomputing 412: 514-542 (2020) - [j26]Behzad Boloukian, Faramarz Safi-Esfahani:
Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks. Neural Networks 121: 186-207 (2020) - [j25]Mahdieh Atashkar, Faramarz Safi-Esfahani:
Item-Based Recommender Systems Applying Social-Economic Indicators. SN Comput. Sci. 1(2): 113 (2020) - [j24]Mahnaz Koorang Beheshti, Faramarz Safi-Esfahani:
BFPF-Cloud: Applying SVM for Byzantine Failure Prediction to Increase Availability and Failure Tolerance in Cloud Computing. SN Comput. Sci. 1(5): 276 (2020) - [j23]Soroor Malekmohamadi Faradonbe, Faramarz Safi-Esfahani, Morteza Karimian-kelishadrokhi:
A Review on Neural Turing Machine (NTM). SN Comput. Sci. 1(6): 333 (2020) - [j22]Farinaz Hemasian-Etefagh, Faramarz Safi-Esfahani:
Group-based whale optimization algorithm. Soft Comput. 24(5): 3647-3673 (2020) - [j21]Mohammad Reza Shirani, Faramarz Safi-Esfahani:
BMDA: applying biogeography-based optimization algorithm and Mexican hat wavelet to improve dragonfly algorithm. Soft Comput. 24(21): 15979-16004 (2020)
2010 – 2019
- 2019
- [j20]Mohammad Jafarzadegan, Faramarz Safi-Esfahani, Zahra Beheshti:
Combining hierarchical clustering approaches using the PCA method. Expert Syst. Appl. 137: 1-10 (2019) - [j19]Zahra Momenzadeh, Faramarz Safi Esfahani:
Workflow scheduling applying adaptable and dynamic fragmentation (WSADF) based on runtime conditions in cloud computing. Future Gener. Comput. Syst. 90: 327-346 (2019) - [j18]Shadi Torabi, Faramarz Safi-Esfahani:
A hybrid algorithm based on chicken swarm and improved raven roosting optimization. Soft Comput. 23(20): 10129-10171 (2019) - [j17]Parinaz Haratian, Faramarz Safi-Esfahani, Leili Salimian, Akbar Nabiollahi:
An Adaptive and Fuzzy Resource Management Approach in Cloud Computing. IEEE Trans. Cloud Comput. 7(4): 907-920 (2019) - [j16]Jafar Meshkati, Faramarz Safi-Esfahani:
Energy-aware resource utilization based on particle swarm optimization and artificial bee colony algorithms in cloud computing. J. Supercomput. 75(5): 2455-2496 (2019) - [j15]Shokooh Kamalinasab, Faramarz Safi-Esfahani, Majid Shahbazi:
CRFF.GP: cloud runtime formulation framework based on genetic programming. J. Supercomput. 75(7): 3882-3916 (2019) - [j14]Farinaz Hemasian-Etefagh, Faramarz Safi-Esfahani:
Dynamic scheduling applying new population grouping of whales meta-heuristic in cloud computing. J. Supercomput. 75(10): 6386-6450 (2019) - [i1]Soroor Malekmohamadi Faradonbe, Faramarz Safi Esfahani:
A review on Neural Turing Machine. CoRR abs/1904.05061 (2019) - 2018
- [j13]Leili Salimian, Faramarz Safi Esfahani:
Energy-efficient placement of virtual machines in cloud data centres based on fuzzy decision making. Int. J. Grid Util. Comput. 9(4): 367-384 (2018) - [j12]Shadi Torabi, Faramarz Safi Esfahani:
Improved Raven Roosting Optimization algorithm (IRRO). Swarm Evol. Comput. 40: 144-154 (2018) - [j11]Noroddin Alaei, Faramarz Safi Esfahani:
RePro-Active: a reactive-proactive scheduling method based on simulation in cloud computing. J. Supercomput. 74(2): 801-829 (2018) - [j10]Shadi Torabi, Faramarz Safi Esfahani:
A dynamic task scheduling framework based on chicken swarm and improved raven roosting optimization methods in cloud computing. J. Supercomput. 74(6): 2581-2626 (2018) - [j9]Kiamars Shojaei, Faramarz Safi Esfahani, Saeed Ayat:
VMDFS: virtual machine dynamic frequency scaling framework in cloud computing. J. Supercomput. 74(11): 5944-5979 (2018) - 2017
- [j8]Reihaneh Khorsand, Faramarz Safi Esfahani, Naser Nematbakhsh, Mehran Mohsenzadeh:
Taxonomy of workflow partitioning problems and methods in distributed environments. J. Syst. Softw. 132: 253-271 (2017) - [j7]Ahmad Fadaei Tehrani, Faramarz Safi Esfahani:
A threshold sensitive failure prediction method using support vector machine. Multiagent Grid Syst. 13(2): 97-111 (2017) - [j6]Reihaneh Khorsand, Faramarz Safi Esfahani, Naser Nematbakhsh, Mehran Mohsenzadeh:
ATSDS: adaptive two-stage deadline-constrained workflow scheduling considering run-time circumstances in cloud computing environments. J. Supercomput. 73(6): 2430-2455 (2017) - 2016
- [j5]Leili Salimian, Faramarz Safi Esfahani, Mohammad-Hossein Nadimi-Shahraki:
An adaptive fuzzy threshold-based approach for energy and performance efficient consolidation of virtual machines. Computing 98(6): 641-660 (2016) - [j4]Pooya Shahrokh, Faramarz Safi Esfahani:
QoS-based Web Service Composition Applying an Improved Genetic Algorithm (IGA) Method. Int. J. Enterp. Inf. Syst. 12(3): 60-77 (2016) - [c4]Fezeh Esteki, Faramarz Safi Esfahani:
A Plagiarism Detection Approach Based on SVM for Persian Texts. FIRE (Working Notes) 2016: 149-153 - 2015
- [j3]Farzaneh Motavaselalhagh, Faramarz Safi Esfahani, Hamid Reza Arabnia:
Knowledge-based adaptable scheduler for SaaS providers in cloud computing. Hum. centric Comput. Inf. Sci. 5: 16 (2015) - 2014
- [j2]Maryam Omid, Faramarz Safi Esfahani, Mohammad-Hossein Nadimi-Shahraki:
A framework for context-aware web service composition using planning techniques. Multiagent Grid Syst. 10(4): 185-197 (2014) - 2011
- [j1]Faramarz Safi Esfahani, Masrah Azrifah Azmi Murad, Md. Nasir bin Sulaiman, Nur Izura Udzir:
Adaptable Decentralized Service Oriented Architecture. J. Syst. Softw. 84(10): 1591-1617 (2011)
2000 – 2009
- 2009
- [c3]Faramarz Safi Esfahani, Masrah Azrifah Azmi Murad, Md Nasir Sulaiman, Nur Izura Udzir:
SLA-Driven Business Process Distribution. eKNOW 2009: 14-21 - [c2]Faramarz Safi Esfahani, Masrah Azrifah Azmi Murad, Md Nasir Sulaiman, Nur Izura Udzir:
Using process mining to business process distribution. SAC 2009: 2140-2145 - [c1]Faramarz Safi Esfahani, Masrah Azrifah Azmi Murad, Md Nasir Sulaiman, Nur Izura Udzir:
A Frequent Path Mining Algorithm to Intelligent Business Process Decomposition. SWWS 2009: 197-203
Coauthor Index
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