Fulufhelo Nelwamondo
Fulufhelo Nelwamondo
Principal researcher, CSIR/ Visiting Professor of Electrical Engineering, University of Johannesburg
Dirección de correo verificada de uj.ac.za
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Año
Missing data: A comparison of neural network and expectation maximization techniques
FV Nelwamondo, S Mohamed, T Marwala
Current Science, 1514-1521, 2007
1742007
Early classifications of bearing faults using hidden Markov models, Gaussian mixture models, mel-frequency cepstral coefficients and fractals
FV Nelwamondo, T Marwala, U Mahola
International Journal of Innovative Computing, Information and Control 2 (6 …, 2006
1162006
Water demand prediction using artificial neural networks and support vector regression
IS Msiza, FV Nelwamondo, T Marwala
Academy Publisher, 2008
862008
A dynamic programming approach to missing data estimation using neural networks
FV Nelwamondo, D Golding, T Marwala
Information Sciences 237, 49-58, 2013
662013
Artificial neural networks and support vector machines for water demand time series forecasting
IS Msiza, FV Nelwamondo, T Marwala
2007 IEEE International Conference on Systems, Man and Cybernetics, 638-643, 2007
622007
Faults detection using gaussian mixture models, mel-frequency cepstral coefficients and kurtosis
FV Nelwamondo, T Marwala
2006 IEEE International Conference on Systems, Man and Cybernetics 1, 290-295, 2006
522006
Hidden Markov models and Gaussian mixture models for bearing fault detection using fractals
T Marwala, U Mahola, FV Nelwamondo
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
512006
The use of entropy to measure structural diversity
L Masisi, V Nelwamondo, T Marwala
Computational Cybernetics, 2008. ICCC 2008. IEEE International Conference on …, 2008
502008
A fingerprint pattern classification approach based on the coordinate geometry of singularities
IS Msiza, B Leke-Betechuoh, FV Nelwamondo, N Msimang
2009 IEEE International Conference on Systems, Man and Cybernetics, 510-517, 2009
362009
Water demand forecasting using multi-layer perceptron and radial basis functions
IS Msiza, FV Nelwamondo, T Marwala
2007 International Joint Conference on Neural Networks, 13-18, 2007
322007
Rough set theory for the treatment of incomplete data
FV Nelwamondo, T Marwala
2007 IEEE International Fuzzy Systems Conference, 1-6, 2007
312007
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm
M Duma, T Marwala, B Twala, F Nelwamondo
Applied Soft Computing 13 (12), 4461-4480, 2013
292013
Applying cost-sensitive classification for financial fraud detection under high class-imbalance
SO Moepya, SS Akhoury, FV Nelwamondo
2014 IEEE international conference on data mining workshop, 183-192, 2014
272014
Computational intelligence techniques for missing data imputation
FV Nelwamondo
272008
A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack
NNP Mkuzangwe, FV Nelwamondo
Asian conference on intelligent information and database systems, 14-22, 2017
262017
Fingerprint segmentation: An investigation of various techniques and a parameter study of a variance-based method
IS Msiza, ME Mathekga, FV Nelwamondo, T Marwala
International Journal of Innovative Computing, Information, and Control …, 2011
262011
Missing data estimation using principle component analysis and autoassociative neural networks
FJ Mistry, FV Nelwamondo, T Marwala
Journal of Systemics, Cybernatics and Informatics 7 (3), 72-79, 2009
232009
Techniques for handling missing data: applications to online condition monitoring
FV Nelwamondo, T Marwala
International Journal of Innovative Computing, Information and Control 4 (6 …, 2008
222008
Fuzzy artmap and neural network approach to online processing of inputs with missing values
FV Nelwamondo, T Marwala
arXiv preprint arXiv:0705.1031, 2007
202007
Condition monitoring of HV bushings in the presence of missing data using evolutionary computing
SM Dhlamini, FV Nelwamondo, T Marwala
WSEAS Transactions on Power Systems 1 (2), 280-287, 2006
202006
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20