| A new preconditioned conjugate gradient power flow H Dag, A Semlyen IEEE Transactions on Power Systems 18 (4), 1248-1255, 2003 | 69* | 2003 |
| Iterative solver techniques in large scale power system computation MA Pai, H Dag Proceedings of the 36th IEEE Conference on Decision and Control 4, 3861-3866, 1997 | 45 | 1997 |
| Toward improved uses of the conjugate gradient method for power system applications H Dag, FL Alvarado IEEE Transactions on Power Systems 12 (3), 1306-1314, 1997 | 37 | 1997 |
| Random CapsNet forest model for imbalanced malware type classification task A Çayır, U Ünal, H Dağ Computers & Security 102, 102133, 2021 | 36 | 2021 |
| Feature extraction based on deep learning for some traditional machine learning methods A Çayir, I Yenidoğan, H Dağ 2018 3rd International conference on computer science and engineering (UBMK …, 2018 | 36 | 2018 |
| Gravitational search algorithm for post-outage bus voltage magnitude calculations O Ceylan, A Ozdemir, H Dag 45th International Universities Power Engineering Conference UPEC2010, 1-6, 2010 | 31 | 2010 |
| The impact of text preprocessing on the prediction of review ratings M IŞIK, H Dağ Turkish Journal of Electrical Engineering and Computer Sciences 28 (3), 1405 …, 2020 | 24 | 2020 |
| Branch outage solution using particle swarm optimization O Ceylan, A Ozdemir, H Dag 2008 Australasian Universities Power Engineering Conference, 1-5, 2008 | 20 | 2008 |
| Computation-free preconditioners for the parallel solution of power system problems H Dag, FL Alvarado IEEE transactions on power systems 12 (2), 585-591, 1997 | 18 | 1997 |
| Improving item-based recommendation accuracy with user's preferences on Apache Mahout A Jabakji, H Dag 2016 IEEE International Conference on Big Data (Big Data), 1742-1749, 2016 | 16 | 2016 |
| Comparison of post outage bus voltage magnitudes estimated by harmony search and differential evolution methods O Ceylan, A Ozdemir, H Dag 2009 15th International Conference on Intelligent System Applications to …, 2009 | 16 | 2009 |
| The effect of ordering on the preconditioned conjugate gradient method for power system applications H Dag, FL Alvarado Proc. North Amer. Power Symp, 26-27, 1994 | 15 | 1994 |
| Protecting openflow switches against denial of service attacks AM Bahaa-Eldin, EEE ElDessouky, H Dağ 2017 12th International Conference on Computer Engineering and Systems …, 2017 | 11 | 2017 |
| Iterative methods and parallel computation for power systems H Dag The University of Wisconsin-Madison, 1996 | 11 | 1996 |
| An approximate inverse preconditioner and its implementation for conjugate gradient method H Dağ Parallel Computing 33 (2), 83-91, 2007 | 10 | 2007 |
| Sparsified and incomplete sparse factored inverse preconditioners F Alvarado, H Dag, OAH Da matrix 1, 13, 1992 | 10 | 1992 |
| Guest editorial: Trends in parallel computing O Yaşar, H Dağ Parallel Computing 33 (2), 81-82, 2007 | 9 | 2007 |
| Machine learning model to predict an adult learner’s decision to continue ESOL course MR Dahman, H Dağ Education and Information Technologies 24, 2429-2452, 2019 | 8 | 2019 |
| Power flow using thread programming H Dağ, G Soykan 2011 IEEE Trondheim PowerTech, 1-5, 2011 | 8 | 2011 |
| Generating classification association rules with modified Apriori algorithm B Tunc, H Dag Proceedings of the 5th WSEAS International Conference on Artificial …, 2006 | 8 | 2006 |
Oguzhan CeylanMarmara University Electrical and Electronics Eng. DeptVerified email at marmara.edu.tr
