Electric load forecasting using an artificial neural network DC Park, MA El-Sharkawi, RJ Marks, LE Atlas, MJ Damborg IEEE transactions on Power Systems 6 (2), 442-449, 1991 | 1964 | 1991 |
Practical experiences with an adaptive neural network short-term load forecasting system O Mohammed, D Park, R Merchant, T Dinh, C Tong, A Azeem, J Farah, ... IEEE Transactions on Power Systems 10 (1), 254-265, 1995 | 190 | 1995 |
An adaptively trained neural network DC Park, MA El-Sharkawi, RJ Marks IEEE Transactions on Neural Networks 2 (3), 334-345, 1991 | 172 | 1991 |
Preliminary results on using artificial neural networks for security assessment (of power systems) M Aggoune, MA El-Sharkawi, DC Park, MJ Dambourg, RJ Marks Conference Papers Power Industry Computer Application Conference, 252-258, 1989 | 139 | 1989 |
Centroid neural network for unsupervised competitive learning DC Park IEEE Transactions on Neural Networks 11 (2), 520-528, 2000 | 134 | 2000 |
Complex-bilinear recurrent neural network for equalization of a digital satellite channel DC Park, TKJ Jeong IEEE Transactions on Neural Networks 13 (3), 711-725, 2002 | 110 | 2002 |
Gradient based fuzzy c-means (GBFCM) algorithm DC Park, I Dagher Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN …, 1994 | 97 | 1994 |
Recovery of image blocks using the method of alternating projections J Park, DC Park, RJ Marks, MA El-Sharkawi IEEE Transactions on image processing 14 (4), 461-474, 2005 | 93 | 2005 |
A neural network based multi-destination routing algorithm for communication network DC Park, SE Choi 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998 | 83 | 1998 |
Weighted centroid neural network for edge preserving image compression DC Park, YJ Woo IEEE transactions on neural networks 12 (5), 1134-1146, 2001 | 81 | 2001 |
Structure optimization of BiLinear Recurrent Neural Networks and its application to Ethernet network traffic prediction DC Park Information Sciences 237, 18-28, 2013 | 68 | 2013 |
Myoelectric signal recognition using fuzzy clustering and artificial neural networks in real time A Del Boca, DC Park Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN …, 1994 | 62 | 1994 |
Particle-size distribution determination using optical sensing and neural networks A Ishimaru, RJ Marks, L Tsang, CM Lam, DC Park, S Kitamura Optics letters 15 (21), 1221-1223, 1990 | 58 | 1990 |
Bilinear recurrent neural network DC Park, Y Zhu Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN …, 1994 | 54 | 1994 |
A novel encoder-decoder network with guided transmission map for single image dehazing LA Tran, S Moon, DC Park Procedia Computer Science 204, 682-689, 2022 | 52 | 2022 |
Image classification using naïve bayes classifier DC Park Int. J. Comput. Sci. Electron. Eng 4 (3), 135-139, 2016 | 49 | 2016 |
Object detection using scale invariant feature transform T Nguyen, EA Park, J Han, DC Park, SY Min Genetic and Evolutionary Computing: Proceedings of the Seventh International …, 2014 | 48 | 2014 |
Multi-class classifier-based adaboost algorithm TH Kim, DC Park, DM Woo, T Jeong, SY Min Intelligent Science and Intelligent Data Engineering: Second Sino-foreign …, 2012 | 41 | 2012 |
Classification of audio signals using Fuzzy c-Means with divergence-based Kernel DC Park Pattern Recognition Letters 30 (9), 794-798, 2009 | 40 | 2009 |
A time series data prediction scheme using bilinear recurrent neural network DC Park 2010 International Conference on Information Science and Applications, 1-7, 2010 | 37 | 2010 |