| A new preconditioned conjugate gradient power flow H Dag, A Semlyen IEEE Transactions on Power Systems 18 (4), 1248-1255, 2003 | 61 | 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 | 32 | 1997 |
| 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 | 24 | 2010 |
| Branch outage solution using particle swarm optimization O Ceylan, A Ozdemir, H Dag 2008 Australasian Universities Power Engineering Conference, 1-5, 2008 | 18 | 2008 |
| Comparison of feature selection algorithms for medical data H Dağ, KE Sayin, I Yenidoğan, S Albayrak, C Acar 2012 International Symposium on Innovations in Intelligent Systems and …, 2012 | 16 | 2012 |
| 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 | 15 | 2009 |
| 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 | 14 | 1997 |
| The effect of ordering on the preconditioned conjugate gradient method for power system applications H Dag, FL Alvarado Proceedings of the North American Power Symposium, 1994 | 14 | 1994 |
| 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 | 11 | 2016 |
| Sparsified and incomplete sparse factored inverse preconditioners F Alvarado, H Dag, OAH Da matrix 1, 13, 1992 | 11 | 1992 |
| An approximate inverse preconditioner and its implementation for conjugate gradient method H Dağ Parallel Computing 33 (2), 83-91, 2007 | 10 | 2007 |
| Iterative methods and parallel computation for power systems. H Dag | 9 | 1997 |
| An XML based data exchange model for power system studies H Dag, U Utkan ARI-The Bulletin of the Istanbul Technical University 2, 2004 | 8 | 2004 |
| Guest editorial: Trends in parallel computing O Yaşar, H Dağ Parallel Computing 33 (2), 81-82, 2007 | 7 | 2007 |
| Generating classification association rules with modified Apriori algorithm B Tunc, H Dag Proceedings of the 5th WSEAS International Conference on Artificial …, 2006 | 7 | 2006 |
| Direct methods versus GMRES and PCG for power flow problems H Dag, FL Alvarado Proc. North Amer. Power Symp, 274-278, 1993 | 7 | 1993 |
| Parallel-in-space implementation of transient stability analysis on a Linux cluster with infiniband G Soykan, AJ Flueck, H Dağ 2012 North American Power Symposium (NAPS), 1-5, 2012 | 6 | 2012 |
| Block-bordered diagonalization and parallel iterative solvers F Alvarado, H Dag, M Bruggencate Front Range Scientific Computations, Inc., Boulder, CO (United States …, 1994 | 6 | 1994 |
| Machine learning model to predict an adult learner’s decision to continue ESOL course MR Dahman, H Dağ Education and Information Technologies 24 (4), 2429-2452, 2019 | 5 | 2019 |
Oguzhan CeylanKadir Has UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα khas.edu.tr
