Predicting Job Failures in AuverGrid Based on Workload Log Analysis. - Hamid Saadatfar; Hamid Fadishei; Hossein Deldari (New Gener. Comput., 2012)

A study on combinational effects of job and resource characteristics on energy consumption. - Hamid Saadatfar; Hossein Deldari (Multiagent Grid Syst., 2013)

A job submission manager for large-scale distributed systems based on job futurity predictor. - Hamid Saadatfar; Hossein Deldari (Int. J. Grid Util. Comput., 2014)

Improving the Scheduler's Energy Saving Capability by Noting both Job and Resource Characteristics. - Hamid Saadatfar; Hossein Deldari; Mahmoud Naghibzadeh (Comput. J., 2015)

A Framework for ranking ubiquitous computing services by AHP analysis. - Shaghayegh Izadpanah; Hamed Vahdat-Nejad; Hamid Saadatfar (Int. J. Model. Simul. Sci. Comput., 2018)

MB-FLEACH: A New Algorithm for Super Cluster Head Selection for Wireless Sensor Networks. - Seyyed Mehdi Hosseini; Javad Hassannataj Joloudari; Hamid Saadatfar (Int. J. Wirel. Inf. Networks, 2019)

RBSEP: a reassignment and buffer based streaming edge partitioning approach. - Monireh Taimouri; Hamid Saadatfar (J. Big Data, 2019)

An efficient GPU-based fractional-step domain decomposition scheme for the reaction-diffusion equation. - Ali Foadaddini; Seyed Alireza Zolfaghari; Hossein Mahmoodi Darian; Hamid Saadatfar (Comput. Appl. Math., 2020)

Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model. - Javad Hassannataj Joloudari; Edris Hassannataj Joloudari; Hamid Saadatfar; Mohammad GhasemiGol; Seyyed Mohammad Razavi; Amir Mosavi; Narjes Nabipour; Shahaboddin Shamshirband; László Nádai (CoRR, 2020)

K-DBSCAN: An improved DBSCAN algorithm for big data. - Nahid Gholizadeh; Hamid Saadatfar; Nooshin Hanafi (J. Supercomput., 2021)

A new GPU-based corrected explicit-implicit domain decomposition scheme for convection-dominated diffusion problems. - Ali Foadaddini; Seyed Alireza Zolfaghari; Hossein Mahmoodi Darian; Hamid Saadatfar (Comput. Math. Appl., 2022)

FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model. - Javad Hassannataj Joloudari; Hamid Saadatfar; Mohammad GhasemiGol; Roohallah Alizadehsani; Zahra Alizadeh Sani; Fereshteh Hasanzadeh; Edris Hassannataj; Danial Sharifrazi; Zulkefli Mansor (CoRR, 2022)

A fast DBSCAN algorithm for big data based on efficient density calculation. - Nooshin Hanafi; Hamid Saadatfar (Expert Syst. Appl., 2022)

An improved K-means algorithm for big data. - Fatemeh Moodi; Hamid Saadatfar (IET Softw., 2022)

Two density-based sampling approaches for imbalanced and overlapping data. - Sima Mayabadi; Hamid Saadatfar (Knowl. Based Syst., 2022)

A parallel multi-objective imperialist competitive algorithm to solve the load offloading problem in mobile cloud computing. - Sara Alipour; Hamid Saadatfar; Mahdi Khazaie Poor (Neural Comput. Appl., 2023)

US-LIME: Increasing fidelity in LIME using uncertainty sampling on tabular data. - Hamid Saadatfar; Zeynab Kiani Zadegan; Benyamin Ghahremani-Nezhad (Neurocomputing, 2024)

Evolution of the random subset feature selection algorithm for classification problem. - Hamed Sabbaghgol; Hamid Saadatfar; Mahdi Khazaiepoor (Knowl. Based Syst., 2024)

A New Dynamic Game-Based Pricing Model for Cloud Environment. - Hamid Saadatfar; Hamid Gholampour Ahangar; Javad Hassannataj Joloudari (Future Internet, 2024)

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. - Javad Hassannataj Joloudari; Sanaz Mojrian; Hamid Saadatfar; Issa Nodehi; Fatemeh Fazl; Sahar Khanjani Shirkharkolaie; Roohallah Alizadehsani; Hussain Mohammed Dipu Kabir; Ru-San Tan; U. Rajendra Acharya (Multim. Tools Appl., 2024)

A fast approach based on divide-and-conquer for instance selection in classification problem. - Hamid Saadatfar; Sayed Iqbal Nawin; Edris Hosseini Gol (Appl. Intell., 2025)