| The Application of Artificial Neural Networks for the Prediction of Oil Production Flow Rate A Mirzaei-Paiaman, S Salavati Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 34 …, 2012 | 54 | 2012 |
| A new empirical correlation for sonic simultaneous flow of oil and gas through wellhead chokes for Persian oil fields A Mirzaei-Paiaman, S Salavati Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 35 …, 2013 | 37 | 2013 |
| A modified neuro-evolutionary algorithm for mobile robot navigation: Using fuzzy systems and combination of artificial neural networks S Fouladvand, S Salavati, P Masajedi, A Ghanbarzadeh International Journal of Knowledge-based and Intelligent Engineering Systems …, 2015 | 4 | 2015 |
| An optimized method for solving zebra puzzle S Salavati, S Hajjarzadeh, M Mazloom 2009 Second International Conference on Computer and Electrical Engineering …, 2009 | 3 | 2009 |
| Tuning machine learning models to detect bots on Twitter SMPC Souza, TB Rezende, J Nascimento, LG Chaves, DHP Soto, ... 2020 Workshop on Communication Networks and Power Systems (WCNPS), 2020 | 1 | 2020 |
| Use Of Production Data To Assess Correlation and Interwell Connectivity MMG calves, M Hossain, ASS Vargas, M Castro, PRMJ unior, S Salavati, ... Rio Oil and Gas Conference, Brazil, 2022 | | 2022 |
| Anomaly detection in production data using machine learning techniques ARS Vargas, RO Werneck, MMG calves, ESP Pereira, LA D. Filho, ... Rio Oil and Gas Conference, Brazil, 2022 | | 2022 |
| Internet traffic classification with efficient machine learning techniques B Salavati, S., Osareh, A., Shadgar 1st Conference on Computer Networks, Qom, Iran, 2014 | | 2014 |
Abouzar Mirzaei-PaiamanResearch Assistant Professor, The University of Texas at AustinVerified email at utexas.edu
