Faramarz Safi-Esfahani

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Dynamic Scheduling

Artificial Bee Colony

Agglomerative Hierarchical Clustering

Cloud Computing

Top Venues

J. Supercomput.

SN Comput. Sci.

Expert Syst. Appl.

Publications

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 (2024)
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) (2024)
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 (2023)
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) (2022)
Mohammad Jafarzadegan, Faramarz Safi-Esfahani, Zahra Beheshti
An Agglomerative Hierarchical Clustering Framework for Improving the Ensemble Clustering Process. Cybern. Syst. 53 (8) (2022)
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) (2022)
Sepide Masoudi, Faramarz Safi-Esfahani
SM@RMFFOG: sensor mining at resource management framework of fog computing. J. Supercomput. 78 (17) (2022)
Maryam Chehelgerdi-Samani, Faramarz Safi-Esfahani
PCVM.ARIMA: predictive consolidation of virtual machines applying ARIMA method. J. Supercomput. 77 (3) (2021)
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) (2021)
Mandana Farhang, Faramarz Safi-Esfahani
Recognizing MapReduce Straggler Tasks in Big Data Infrastructures Using Artificial Neural Networks. J. Grid Comput. 18 (4) (2020)
Soroor Malekmohamadi Faradonbe, Faramarz Safi-Esfahani, Morteza Karimian-kelishadrokhi
A Review on Neural Turing Machine (NTM). SN Comput. Sci. 1 (6) (2020)
Mohammad Reza Shirani, Faramarz Safi-Esfahani
BMDA: applying biogeography-based optimization algorithm and Mexican hat wavelet to improve dragonfly algorithm. Soft Comput. 24 (21) (2020)
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 (2020)
Masoud Sabet Rasekh, Faramarz Safi-Esfahani
EDNC: Evolving Differentiable Neural Computers. Neurocomputing 412 (2020)
Mahdieh Atashkar, Faramarz Safi-Esfahani
Item-Based Recommender Systems Applying Social-Economic Indicators. SN Comput. Sci. 1 (2) (2020)
Farinaz Hemasian-Etefagh, Faramarz Safi-Esfahani
Group-based whale optimization algorithm. Soft Comput. 24 (5) (2020)
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) (2020)
Soroor Malekmohamadi Faradonbe, Faramarz Safi-Esfahani
A classifier task based on Neural Turing Machine and particle swarm algorithm. Neurocomputing 396 (2020)
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) (2019)
Shokooh Kamalinasab, Faramarz Safi-Esfahani, Majid Shahbazi
CRFF.GP: cloud runtime formulation framework based on genetic programming. J. Supercomput. 75 (7) (2019)
Shadi Torabi, Faramarz Safi-Esfahani
A hybrid algorithm based on chicken swarm and improved raven roosting optimization. Soft Comput. 23 (20) (2019)
Farinaz Hemasian-Etefagh, Faramarz Safi-Esfahani
Dynamic scheduling applying new population grouping of whales meta-heuristic in cloud computing. J. Supercomput. 75 (10) (2019)
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) (2019)
Mohammad Jafarzadegan, Faramarz Safi-Esfahani, Zahra Beheshti
Combining hierarchical clustering approaches using the PCA method. Expert Syst. Appl. 137 (2019)