Faramarz Safi Esfahani
Orcid: 0000-0001-7539-3089Affiliations:
- Islamic Azad University, Najafabad, Iran
According to our database1,
Faramarz Safi Esfahani
authored at least 46 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
TD-LSTM: a time distributed and deep-learning-based architecture for classification of motor imagery and execution in EEG signals.
Neural Comput. Appl., September, 2024
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., 2024
2023
DAerosol-NTM: applying deep learning and neural Turing machine in aerosol prediction.
Neural Comput. Appl., December, 2023
Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine.
Appl. Soft Comput., November, 2023
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., October, 2023
2022
LOADng-AT: a novel practical implementation of hybrid AHP-TOPSIS algorithm in reactive routing protocol for intelligent IoT-based networks.
J. Supercomput., 2022
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., 2022
J. Supercomput., 2022
An Agglomerative Hierarchical Clustering Framework for Improving the Ensemble Clustering Process.
Cybern. Syst., 2022
2021
Dynamic scheduling of tasks in cloud computing applying dragonfly algorithm, biogeography-based optimization algorithm and Mexican hat wavelet.
J. Supercomput., 2021
J. Supercomput., 2021
Int. J. Bus. Intell. Data Min., 2021
2020
BMDA: applying biogeography-based optimization algorithm and Mexican hat wavelet to improve dragonfly algorithm.
Soft Comput., 2020
BFPF-Cloud: Applying SVM for Byzantine Failure Prediction to Increase Availability and Failure Tolerance in Cloud Computing.
SN Comput. Sci., 2020
SN Comput. Sci., 2020
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, 2020
Neurocomputing, 2020
Recognizing MapReduce Straggler Tasks in Big Data Infrastructures Using Artificial Neural Networks.
J. Grid Comput., 2020
2019
Energy-aware resource utilization based on particle swarm optimization and artificial bee colony algorithms in cloud computing.
J. Supercomput., 2019
J. Supercomput., 2019
Dynamic scheduling applying new population grouping of whales meta-heuristic in cloud computing.
J. Supercomput., 2019
IEEE Trans. Cloud Comput., 2019
Soft Comput., 2019
Workflow scheduling applying adaptable and dynamic fragmentation (WSADF) based on runtime conditions in cloud computing.
Future Gener. Comput. Syst., 2019
Expert Syst. Appl., 2019
2018
A dynamic task scheduling framework based on chicken swarm and improved raven roosting optimization methods in cloud computing.
J. Supercomput., 2018
J. Supercomput., 2018
RePro-Active: a reactive-proactive scheduling method based on simulation in cloud computing.
J. Supercomput., 2018
Energy-efficient placement of virtual machines in cloud data centres based on fuzzy decision making.
Int. J. Grid Util. Comput., 2018
2017
ATSDS: adaptive two-stage deadline-constrained workflow scheduling considering run-time circumstances in cloud computing environments.
J. Supercomput., 2017
Multiagent Grid Syst., 2017
J. Syst. Softw., 2017
2016
QoS-based Web Service Composition Applying an Improved Genetic Algorithm (IGA) Method.
Int. J. Enterp. Inf. Syst., 2016
An adaptive fuzzy threshold-based approach for energy and performance efficient consolidation of virtual machines.
Computing, 2016
Proceedings of the Working notes of FIRE 2016, 2016
2015
Hum. centric Comput. Inf. Sci., 2015
2014
Multiagent Grid Syst., 2014
2011
2009
A Frequent Path Mining Algorithm to Intelligent Business Process Decomposition.
Proceedings of the 2009 International Conference on Semantic Web & Web Services, 2009
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Proceedings of the International Conference on Information, 2009