Faramarz Safi Esfahani

Orcid: 0000-0001-7539-3089

Affiliations:
  • Islamic Azad University, Najafabad, Iran


According to our database1, Faramarz Safi Esfahani authored at least 44 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

SM@RMFFOG: sensor mining at resource management framework of fog computing.
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

PCVM.ARIMA: predictive consolidation of virtual machines applying ARIMA method.
J. Supercomput., 2021

Time and structural anomalies detection in business processes using process mining.
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

Group-based whale optimization algorithm.
Soft Comput., 2020

A Review on Neural Turing Machine (NTM).
SN Comput. Sci., 2020

BFPF-Cloud: Applying SVM for Byzantine Failure Prediction to Increase Availability and Failure Tolerance in Cloud Computing.
SN Comput. Sci., 2020

Item-Based Recommender Systems Applying Social-Economic Indicators.
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

EDNC: Evolving Differentiable Neural Computers.
Neurocomputing, 2020

A classifier task based on Neural Turing Machine and particle swarm algorithm.
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

CRFF.GP: cloud runtime formulation framework based on genetic programming.
J. Supercomput., 2019

Dynamic scheduling applying new population grouping of whales meta-heuristic in cloud computing.
J. Supercomput., 2019

An Adaptive and Fuzzy Resource Management Approach in Cloud Computing.
IEEE Trans. Cloud Comput., 2019

A hybrid algorithm based on chicken swarm and improved raven roosting optimization.
Soft Comput., 2019

Workflow scheduling applying adaptable and dynamic fragmentation (WSADF) based on runtime conditions in cloud computing.
Future Gener. Comput. Syst., 2019

Combining hierarchical clustering approaches using the PCA method.
Expert Syst. Appl., 2019

A review on Neural Turing Machine.
CoRR, 2019

2018
A dynamic task scheduling framework based on chicken swarm and improved raven roosting optimization methods in cloud computing.
J. Supercomput., 2018

VMDFS: virtual machine dynamic frequency scaling framework in cloud computing.
J. Supercomput., 2018

RePro-Active: a reactive-proactive scheduling method based on simulation in cloud computing.
J. Supercomput., 2018

Improved Raven Roosting Optimization algorithm (IRRO).
Swarm Evol. Comput., 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

A threshold sensitive failure prediction method using support vector machine.
Multiagent Grid Syst., 2017

Taxonomy of workflow partitioning problems and methods in distributed environments.
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

A Plagiarism Detection Approach Based on SVM for Persian Texts.
Proceedings of the Working notes of FIRE 2016, 2016

2015
Knowledge-based adaptable scheduler for SaaS providers in cloud computing.
Hum. centric Comput. Inf. Sci., 2015

2014
A framework for context-aware web service composition using planning techniques.
Multiagent Grid Syst., 2014

2011
Adaptable Decentralized Service Oriented Architecture.
J. Syst. Softw., 2011

2009
A Frequent Path Mining Algorithm to Intelligent Business Process Decomposition.
Proceedings of the 2009 International Conference on Semantic Web & Web Services, 2009

Using process mining to business process distribution.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

SLA-Driven Business Process Distribution.
Proceedings of the International Conference on Information, 2009


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