Handwriting Recognition Algorithm in Different Languages: Survey. - Hamid Mirvaziri; Mohammad Masoud Javidi; Najme Mansouri (IVIC, 2009)

A New Dynamic Replication Algorithm for Hierarchy Networks in Data Grid. - Najme Mansouri; Gholamhosein Dastghaibyfard (3PGCIC, 2011)

A Novel Job Scheduling Algorithm for Improving Data Grid's Performance. - Najme Mansouri; Gholamhosein Dastghaibyfard; Abbas Horri (3PGCIC, 2011)

A dynamic replica management strategy in data grid. - Najme Mansouri; Gholamhosein Dastghaibyfard (J. Netw. Comput. Appl., 2012)

Combination of data replication and scheduling algorithm for improving data availability in Data Grids. - Najme Mansouri; Gholamhosein Dastghaibyfard; Ehsan Mansouri (J. Netw. Comput. Appl., 2013)

Enhanced Dynamic Hierarchical Replication and Weighted Scheduling Strategy in Data Grid. - Najme Mansouri; Gholamhosein Dastghaibyfard (J. Parallel Distributed Comput., 2013)

Job scheduling and dynamic data replication in data grid environment. - Najme Mansouri; Gholamhosein Dastghaibyfard (J. Supercomput., 2013)

A Threshold-based Dynamic Data Replication and Parallel Job Scheduling strategy to enhance Data Grid. - Najme Mansouri (Clust. Comput., 2014)

Network and data location aware approach for simultaneous job scheduling and data replication in large-scale data grid environments. - Najme Mansouri (Frontiers Comput. Sci., 2014)

QDR: a QoS-aware data replication algorithm for Data Grids considering security factors. - Najme Mansouri (Clust. Comput., 2016)

Adaptive data replication strategy in cloud computing for performance improvement. - Najme Mansouri (Frontiers Comput. Sci., 2016)

DPRS: A dynamic popularity aware replication strategy with parallel download scheme in cloud environments. - Najme Mansouri; M. Kuchaki Rafsanjani; Mohammad Masoud Javidi (Simul. Model. Pract. Theory, 2017)

A new Prefetching-aware Data Replication to decrease access latency in cloud environment. - Najme Mansouri; Mohammad Masoud Javidi (J. Syst. Softw., 2018)

A hybrid data replication strategy with fuzzy-based deletion for heterogeneous cloud data centers. - Najme Mansouri; Mohammad Masoud Javidi (J. Supercomput., 2018)

Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory. - Najme Mansouri; Behnam Mohammad Hasani Zade; Mohammad Masoud Javidi (Comput. Ind. Eng., 2019)

Cost-based job scheduling strategy in cloud computing environments. - Najme Mansouri; Mohammad Masoud Javidi (Distributed Parallel Databases, 2020)

A multi-objective optimized replication using fuzzy based self-defense algorithm for cloud computing. - Najme Mansouri; Behnam Mohammad Hasani Zade; Mohammad Masoud Javidi (J. Netw. Comput. Appl., 2020)

Cloud computing simulators: A comprehensive review. - Najme Mansouri; Reyhane Ghafari; Behnam Mohammad Hasani Zade (Simul. Model. Pract. Theory, 2020)

A review of data replication based on meta-heuristics approach in cloud computing and data grid. - Najme Mansouri; Mohammad Masoud Javidi (Soft Comput., 2020)

Using data mining techniques to improve replica management in cloud environment. - Najme Mansouri; Mohammad Masoud Javidi; Behnam Mohammad Hasani Zade (Soft Comput., 2020)

Multi-objective scheduling technique based on hybrid hitchcock bird algorithm and fuzzy signature in cloud computing. - Behnam Mohammad Hasani Zade; Najme Mansouri; Mohammad Masoud Javidi (Eng. Appl. Artif. Intell., 2021)

SAEA: A security-aware and energy-aware task scheduling strategy by Parallel Squirrel Search Algorithm in cloud environment. - Behnam Mohammad Hasani Zade; Najme Mansouri; Mohammad Masoud Javidi (Expert Syst. Appl., 2021)

Hierarchical data replication strategy to improve performance in cloud computing. - Najme Mansouri; Mohammad Masoud Javidi; Behnam Mohammad Hasani Zade (Frontiers Comput. Sci., 2021)

Text mining using nonnegative matrix factorization and latent semantic analysis. - Ali Hassani 001; Amir Iranmanesh; Najme Mansouri (Neural Comput. Appl., 2021)

A CSO-based approach for secure data replication in cloud computing environment. - Najme Mansouri; Mohammad Masoud Javidi; Behnam Mohammad Hasani Zade (J. Supercomput., 2021)

Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review. - Reyhane Ghafari; F. Hassani Kabutarkhani; Najme Mansouri (Clust. Comput., 2022)

A two-stage scheduler based on New Caledonian Crow Learning Algorithm and reinforcement learning strategy for cloud environment. - Behnam Mohammad Hasani Zade; Najme Mansouri; Mohammad Masoud Javidi (J. Netw. Comput. Appl., 2022)

Improved red fox optimizer with fuzzy theory and game theory for task scheduling in cloud environment. - Behnam Mohammad Hasani Zade; Najme Mansouri (J. Comput. Sci., 2022)

A new feature extraction technique based on improved owl search algorithm: a case study in copper electrorefining plant. - Najme Mansouri; Gholam Reza Khayati; Behnam Mohammad Hasani Zade; Seyed Mohammad Javad Khorasani; Roya Kafi Hernashki (Neural Comput. Appl., 2022)

PPO: a new nature-inspired metaheuristic algorithm based on predation for optimization. - Behnam Mohammad Hasani Zade; Najme Mansouri (Soft Comput., 2022)

Task scheduling in fog environment - Challenges, tools & methodologies: A review. - Zahra Jalali Khalil Abadi; Najme Mansouri; Mahshid Khalouie (Comput. Sci. Rev., 2023)

A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environment. - Behnam Mohammad Hasani Zade; Najme Mansouri; Mohammad Masoud Javidi (Artif. Intell. Rev., 2023)

An improved Caledonian crow learning algorithm based on ring topology for security-aware workflow scheduling in cloud computing. - Behnam Mohammad Hasani Zade; Mohammad Masoud Javidi; Najme Mansouri (Peer Peer Netw. Appl., 2023)

An efficient task scheduling in fog computing using improved artificial hummingbird algorithm. - Reyhane Ghafari; Najme Mansouri (J. Comput. Sci., 2023)

E-AVOA-TS: Enhanced African vultures optimization algorithm-based task scheduling strategy for fog-cloud computing. - Reyhane Ghafari; Najme Mansouri (Sustain. Comput. Informatics Syst., 2023)

A comprehensive survey on scheduling algorithms using fuzzy systems in distributed environments. - Zahra Jalali Khalil Abadi; Najme Mansouri (Artif. Intell. Rev., 2024)

A Comprehensive Survey on Feature Selection with Grasshopper Optimization Algorithm. - Hanie Alirezapour; Najme Mansouri; Behnam Mohammad Hasani Zade (Neural Process. Lett., 2024)

Improved Harris Hawks Optimizer with chaotic maps and opposition-based learning for task scheduling in cloud environment. - Reyhane Ghafari; Najme Mansouri (Clust. Comput., 2024)

A comprehensive survey of feature selection techniques based on whale optimization algorithm. - Mohammad Amiriebrahimabadi; Najme Mansouri (Multim. Tools Appl., 2024)

A novel energy-based task scheduling in fog computing environment: an improved artificial rabbits optimization approach. - Reyhane Ghafari; Najme Mansouri (Clust. Comput., 2024)

Simultaneous feature selection and SVM optimization based on fuzzy signature and chaos GOA. - Aboozar Zandvakili; Mohammad Masoud Javidi; Najme Mansouri (Evol. Syst., 2024)

Deep reinforcement learning-based scheduling in distributed systems: a critical review. - Zahra Jalali Khalil Abadi; Najme Mansouri; Mohammad Masoud Javidi (Knowl. Inf. Syst., 2024)

A new feature selection algorithm based on fuzzy-pathfinder optimization. - Aboozar Zandvakili; Najme Mansouri; Mohammad Masoud Javidi (Neural Comput. Appl., 2024)

Multi-objective task scheduling based on PSO-Ring and intuitionistic fuzzy set. - Behnam Mohammad Hasani Zade; Najme Mansouri; Mohammad Masoud Javidi (Clust. Comput., 2024)

Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems. - Reyhane Ghafari; Najme Mansouri (J. Grid Comput., 2024)

An improved beluga whale optimization using ring topology for solving multi-objective task scheduling in cloud. - Behnam Mohammad Hasani Zade; Najme Mansouri; Mohammad Masoud Javidi (Comput. Ind. Eng., 2025)

Reinforcement learning-based solution for resource management in fog computing: A comprehensive survey. - Reyhane Ghafari; Najme Mansouri (Expert Syst. Appl., 2025)

Stock price prediction with SCA-LSTM network and Statistical model ARIMA-GARCH. - Homa Mehtarizadeh; Najme Mansouri; Behnam Mohammad Hasani Zade; Mohammad Mehdi Hosseini (J. Supercomput., 2025)

Resource allocation in fog computing: a survey on current state and research challenges. - Amir Mohammad Nemati; Najme Mansouri (Knowl. Inf. Syst., 2025)

Optimal feature selection through reinforcement learning and fuzzy signature for improving classification accuracy. - Najme Mansouri; Aboozar Zandvakili; Mohammad Masoud Javidi (Multim. Tools Appl., 2025)

Deep learning approaches to detect breast cancer: a comprehensive review. - Amir Mohammad Sharafaddini; Kiana Kouhpah Esfahani; Najme Mansouri (Multim. Tools Appl., 2025)

Correction to: Deep learning approaches to detect breast cancer: a comprehensive review. - Amir Mohammad Sharafaddini; Kiana Kouhpah Esfahani; Najme Mansouri (Multim. Tools Appl., 2025)

C-UCB: chaos upper confidence bound in reinforcement learning for feature selection. - Aboozar Zandvakili; Mohammad Masoud Javidi; Najme Mansouri (Knowl. Inf. Syst., 2025)

An efficient task scheduling algorithm leveraging fuzzy quantum atom search optimizer with innovative migration for cloud computing. - Behnam Mohammad Hasani Zade; Najme Mansouri; Mohammad Masoud Javidi (Clust. Comput., 2025)

Precise feature selection using suffix array algorithm of bioinformatics. - Aboozar Zandvakili; Mohammad Masoud Javidi; Najme Mansouri (Int. J. Mach. Learn. Cybern., 2025)

Nova: A Novel Optimizer Integrating Nesterov Momentum, AMSGrad, and Decoupled Weight Decay for Deep Learning. - Ali Zeydi Abdian; Mohammad Masoud Javidi; Najme Mansouri (Signal Image Video Process., 2025)