SLA-Driven Business Process Distribution. - Faramarz Safi Esfahani; Masrah Azrifah Azmi Murad; Md Nasir Sulaiman; Nur Izura Udzir (eKNOW, 2009)

Using process mining to business process distribution. - Faramarz Safi Esfahani; Masrah Azrifah Azmi Murad; Md Nasir Sulaiman; Nur Izura Udzir (SAC, 2009)

A Frequent Path Mining Algorithm to Intelligent Business Process Decomposition. - Faramarz Safi Esfahani; Masrah Azrifah Azmi Murad; Md Nasir Sulaiman; Nur Izura Udzir (SWWS, 2009)

Adaptable Decentralized Service Oriented Architecture. - Faramarz Safi Esfahani; Masrah Azrifah Azmi Murad; Md. Nasir bin Sulaiman; Nur Izura Udzir (J. Syst. Softw., 2011)

A framework for context-aware web service composition using planning techniques. - Maryam Omid; Faramarz Safi Esfahani; Mohammad-Hossein Nadimi-Shahraki (Multiagent Grid Syst., 2014)

Knowledge-based adaptable scheduler for SaaS providers in cloud computing. - Farzaneh Motavaselalhagh; Faramarz Safi Esfahani; Hamid Reza Arabnia (Hum. centric Comput. Inf. Sci., 2015)

A Plagiarism Detection Approach Based on SVM for Persian Texts. - Fezeh Esteki; Faramarz Safi Esfahani (FIRE (Working Notes), 2016)

An adaptive fuzzy threshold-based approach for energy and performance efficient consolidation of virtual machines. - Leili Salimian; Faramarz Safi Esfahani; Mohammad-Hossein Nadimi-Shahraki (Computing, 2016)

QoS-based Web Service Composition Applying an Improved Genetic Algorithm (IGA) Method. - Pooya Shahrokh; Faramarz Safi Esfahani (Int. J. Enterp. Inf. Syst., 2016)

Taxonomy of workflow partitioning problems and methods in distributed environments. - Reihaneh Khorsand; Faramarz Safi Esfahani; Naser Nematbakhsh; Mehran Mohsenzadeh (J. Syst. Softw., 2017)

A threshold sensitive failure prediction method using support vector machine. - Ahmad Fadaei Tehrani; Faramarz Safi Esfahani (Multiagent Grid Syst., 2017)

ATSDS: adaptive two-stage deadline-constrained workflow scheduling considering run-time circumstances in cloud computing environments. - Reihaneh Khorsand; Faramarz Safi Esfahani; Naser Nematbakhsh; Mehran Mohsenzadeh (J. Supercomput., 2017)

Energy-efficient placement of virtual machines in cloud data centres based on fuzzy decision making. - Leili Salimian; Faramarz Safi Esfahani (Int. J. Grid Util. Comput., 2018)

Improved Raven Roosting Optimization algorithm (IRRO). - Shadi Torabi; Faramarz Safi Esfahani (Swarm Evol. Comput., 2018)

RePro-Active: a reactive-proactive scheduling method based on simulation in cloud computing. - Noroddin Alaei; Faramarz Safi Esfahani (J. Supercomput., 2018)

VMDFS: virtual machine dynamic frequency scaling framework in cloud computing. - Kiamars Shojaei; Faramarz Safi Esfahani; Saeed Ayat (J. Supercomput., 2018)

A dynamic task scheduling framework based on chicken swarm and improved raven roosting optimization methods in cloud computing. - Shadi Torabi; Faramarz Safi Esfahani (J. Supercomput., 2018)

A review on Neural Turing Machine. - Soroor Malekmohamadi Faradonbe; Faramarz Safi Esfahani (CoRR, 2019)

Combining hierarchical clustering approaches using the PCA method. - Mohammad Jafarzadegan; Faramarz Safi-Esfahani; Zahra Beheshti (Expert Syst. Appl., 2019)

Workflow scheduling applying adaptable and dynamic fragmentation (WSADF) based on runtime conditions in cloud computing. - Zahra Momenzadeh; Faramarz Safi Esfahani (Future Gener. Comput. Syst., 2019)

A hybrid algorithm based on chicken swarm and improved raven roosting optimization. - Shadi Torabi; Faramarz Safi-Esfahani (Soft Comput., 2019)

An Adaptive and Fuzzy Resource Management Approach in Cloud Computing. - Parinaz Haratian; Faramarz Safi-Esfahani; Leili Salimian; Akbar Nabiollahi (IEEE Trans. Cloud Comput., 2019)

Dynamic scheduling applying new population grouping of whales meta-heuristic in cloud computing. - Farinaz Hemasian-Etefagh; Faramarz Safi-Esfahani (J. Supercomput., 2019)

CRFF.GP: cloud runtime formulation framework based on genetic programming. - Shokooh Kamalinasab; Faramarz Safi-Esfahani; Majid Shahbazi (J. Supercomput., 2019)

Energy-aware resource utilization based on particle swarm optimization and artificial bee colony algorithms in cloud computing. - Jafar Meshkati; Faramarz Safi-Esfahani (J. Supercomput., 2019)

Recognizing MapReduce Straggler Tasks in Big Data Infrastructures Using Artificial Neural Networks. - Mandana Farhang; Faramarz Safi-Esfahani (J. Grid Comput., 2020)

A classifier task based on Neural Turing Machine and particle swarm algorithm. - Soroor Malekmohamadi Faradonbe; Faramarz Safi-Esfahani (Neurocomputing, 2020)

EDNC: Evolving Differentiable Neural Computers. - Masoud Sabet Rasekh; Faramarz Safi-Esfahani (Neurocomputing, 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. - Behzad Boloukian; Faramarz Safi-Esfahani (Neural Networks, 2020)

Item-Based Recommender Systems Applying Social-Economic Indicators. - Mahdieh Atashkar; Faramarz Safi-Esfahani (SN Comput. Sci., 2020)

BFPF-Cloud: Applying SVM for Byzantine Failure Prediction to Increase Availability and Failure Tolerance in Cloud Computing. - Mahnaz Koorang Beheshti; Faramarz Safi-Esfahani (SN Comput. Sci., 2020)

A Review on Neural Turing Machine (NTM). - Soroor Malekmohamadi Faradonbe; Faramarz Safi-Esfahani; Morteza Karimian-kelishadrokhi (SN Comput. Sci., 2020)

Group-based whale optimization algorithm. - Farinaz Hemasian-Etefagh; Faramarz Safi-Esfahani (Soft Comput., 2020)

BMDA: applying biogeography-based optimization algorithm and Mexican hat wavelet to improve dragonfly algorithm. - Mohammad Reza Shirani; Faramarz Safi-Esfahani (Soft Comput., 2020)

Time and structural anomalies detection in business processes using process mining. - Elham Saeedi; Faramarz Safi Esfahani (Int. J. Bus. Intell. Data Min., 2021)

PCVM.ARIMA: predictive consolidation of virtual machines applying ARIMA method. - Maryam Chehelgerdi-Samani; Faramarz Safi-Esfahani (J. Supercomput., 2021)

Dynamic scheduling of tasks in cloud computing applying dragonfly algorithm, biogeography-based optimization algorithm and Mexican hat wavelet. - Mohammad Reza Shirani; Faramarz Safi-Esfahani (J. Supercomput., 2021)

An Agglomerative Hierarchical Clustering Framework for Improving the Ensemble Clustering Process. - Mohammad Jafarzadegan; Faramarz Safi-Esfahani; Zahra Beheshti (Cybern. Syst., 2022)

SM@RMFFOG: sensor mining at resource management framework of fog computing. - Sepide Masoudi; Faramarz Safi-Esfahani (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. - Ahmad Nekooei-Joghdani; Faramarz Safi-Esfahani (J. Supercomput., 2022)

LOADng-AT: a novel practical implementation of hybrid AHP-TOPSIS algorithm in reactive routing protocol for intelligent IoT-based networks. - Zakieh Sharifian; Behrang Barekatain; Alfonso Ariza-Quintana; Zahra Beheshti; Faramarz Safi-Esfahani (J. Supercomput., 2022)

Sin-Cos-bIAVOA: A new feature selection method based on improved African vulture optimization algorithm and a novel transfer function to DDoS attack detection. - Zakieh Sharifian; Behrang Barekatain; Alfonso Ariza-Quintana; Zahra Beheshti; Faramarz Safi-Esfahani (Expert Syst. Appl., 2023)

Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine. - Zahra-Sadat Asaei-Moamam; Faramarz Safi Esfahani; Seyedali Mirjalili; Reza Mohammadpour; Mohammad-Hossein Nadimi-Shahraki (Appl. Soft Comput., 2023)

DAerosol-NTM: applying deep learning and neural Turing machine in aerosol prediction. - Zahra-Sadat Asaei-Moamam; Faramarz Safi Esfahani; Seyedali Mirjalili; Reza Mohammadpour; Mohammad-Hossein Nadimi-Shahraki (Neural Comput. Appl., 2023)

Application of the time-distributed layer in the controller of memory-augmented neural networks to classify brain activities into motor imagery and motor execution. - Morteza Karimian-kelishadrokhi; Faramarz Safi-Esfahani (Appl. Soft Comput., 2024)

From one-dimensional to multidimensional map neural networks. - Sayed Yousef Monir Vaghefi; Faramarz Safi-Esfahani; Shervan Fekri Ershad; Sayed Mahmoud Monir Vaghefi (Appl. Soft Comput., 2024)

TD-LSTM: a time distributed and deep-learning-based architecture for classification of motor imagery and execution in EEG signals. - Morteza Karimian-kelishadrokhi; Faramarz Safi-Esfahani (Neural Comput. Appl., 2024)

InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems. - Habib Larian; Faramarz Safi-Esfahani (Computing, 2025)

Optimizing production planning and sequencing in hot strip mills: an approach using multi-objective genetic algorithms. - Hamidreza Fardad; Faramarz Safi-Esfahani; Behrang Barekatain (J. Supercomput., 2025)

Introducing an improved deep reinforcement learning algorithm for task scheduling in cloud computing. - Behnam Salari-Hamzehkhani; Mehdi Akbari; Faramarz Safi-Esfahani (J. Supercomput., 2025)

RAG/LLM Augmented Switching Driven Polymorphic Metaheuristic Framework. - Faramarz Safi Esfahani; Ghassan Beydoun; Morteza Saberi; Brad McCusker; Biswajeet Pradhan (CoRR, 2025)

Adaptable decentralized workflow execution with fuzzy framework in cloud computing (ADWEF.Cloud). - Faramarz Safi-Esfahani; Narges Khatibi (Computing, 2025)

Dynamic scheduling of independent tasks in cloud computing environment applying improved chicken swarm optimization and differential evolution. - Faramarz Safi-Esfahani; Habib Larian; Saeed Saeedi Mobarakeh; Seyedali Mirjalili (J. Supercomput., 2025)

A linear partitioning diversity metric for evaluation of permutation-based metaheuristic algorithms. - Majid Shahbazi; Faramarz Safi-Esfahani; Sara Shahbazi; Seyedali Mirjalili (Evol. Intell., 2025)