| Improved churn prediction in telecommunication industry using data mining techniques A Keramati, R Jafari-Marandi, M Aliannejadi, I Ahmadian, M Mozaffari, ... Applied Soft Computing 24, 994-1012, 2014 | 235 | 2014 |
| Quantifying geometric accuracy with unsupervised machine learning: Using self-organizing map on fused filament fabrication additive manufacturing parts M Khanzadeh, P Rao, R Jafari-Marandi, BK Smith, MA Tschopp, L Bian Journal of Manufacturing Science and Engineering 140 (3), 031011, 2018 | 159 | 2018 |
| Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring K Jafarian, M Mobin, R Jafari-Marandi, E Rabiei Measurement 128, 527-536, 2018 | 103 | 2018 |
| From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing R Jafari-Marandi, M Khanzadeh, W Tian, B Smith, L Bian Journal of Manufacturing Systems 51, 29-41, 2019 | 101 | 2019 |
| An optimum ANN-based breast cancer diagnosis: Bridging gaps between ANN learning and decision-making goals R Jafari-Marandi, S Davarzani, MS Gharibdousti, BK Smith Applied Soft Computing 72, 108-120, 2018 | 99 | 2018 |
| Fluid genetic algorithm (FGA) R Jafari-Marandi, BK Smith Journal of Computational Design and Engineering 4 (2), 158-167, 2017 | 64 | 2017 |
| A distributed decision framework for building clusters with different heterogeneity settings R Jafari-Marandi, M Hu, OFA Omitaomu Applied Energy 165, 393-404, 2016 | 55 | 2016 |
| Optimum estimation of missing values in randomized complete block design by genetic algorithm A Azadeh, SM Asadzadeh, R Jafari-Marandi, S Nazari-Shirkouhi, ... Knowledge-Based Systems 37, 37-47, 2013 | 33 | 2013 |
| Self-organizing and error driven (SOED) artificial neural network for smarter classifications R Jafari-Marandi, M Khanzadeh, BK Smith, L Bian Journal of Computational Design and Engineering 4 (4), 282-304, 2017 | 25 | 2017 |
| Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry R Jafari-Marandi, J Denton, A Idris, BK Smith, A Keramati Neural Computing and Applications, 2020 | 21 | 2020 |
| A new hybrid GA-PSO method for solving multi-period inventory routing problem with considering financial decisions M Rabbani, M Baghersad, R Jafari Journal of Industrial Engineering and Management (JIEM) 6 (4), 909-929, 2013 | 21 | 2013 |
| Engineering soft skills vs. engineering entrepreneurial skills RJ Marandi, BK Smith, RF Burch, SC Vick The International journal of engineering education 35 (4), 988-998, 2019 | 20 | 2019 |
| WEBPAGE CLUSTERING – TAKING THE ZERO STEP: A CASE STUDY OF AN IRANIAN WEBSITE A Keramati, R Jafari-Marandi Journal of Web Engineering 13 (4), 333-360, 2014 | 16 | 2014 |
| Supervised or unsupervised learning? Investigating the role of pattern recognition assumptions in the success of binary predictive prescriptions R Jafari-Marandi Neurocomputing 434, 165-193, 2021 | 15 | 2021 |
| Real-time implementation of MVDC shipboard power system reconfiguration M Babaei, R Jafari-Marandi, S Abdelwahed 2017 IEEE Electric Ship Technologies Symposium (ESTS), 514-519, 2017 | 11 | 2017 |
| A simulated Annealing-based optimal design of STATCOM under unbalanced conditions and faults M Babaei, R Jafari-Marandi, S Abdelwahed, B Smith 2017 IEEE Power and Energy Conference at Illinois (PECI), 1-5, 2017 | 11 | 2017 |
| Dynamic vehicle routing problem with cooperative strategy in disaster relief SM Gholami-Zanjani, R Jafari-Marandi, MS Pishvaee, W Klibi International Journal of Shipping and Transport Logistics 11 (6), 455-475, 2019 | 10 | 2019 |
| A novel approach for real-time implementation of MVDC shipboard power system reconfiguration M Babaei, R Jafari-Marandi, S Abdelwahed, J Kluss International Journal of Electrical Power & Energy Systems 100, 240-252, 2018 | 10 | 2018 |
| A novel benchmark methodology for estimating industrial electricity demand considering unsteady socio-economic conditions A Azadeh, R Jafari-Marandi, M Abdollahi, E Roudi International Journal of Business Performance Management 18 (2), 196-215, 2017 | 10 | 2017 |
| Addressing churn prediction problem with Meta-heuristic, Machine learning, Neural Network and data mining techniques: a case study of a telecommunication company A Keramati, RJ Marandi International Journal of Future Computer and Communication 4 (5), 350, 2015 | 9 | 2015 |
Brian K. SmithMississippi State University在 ise.msstate.edu 的电子邮件经过验证
