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Publications | Peer Reviewed Book Chapters

• T. Marwala and P.S. Heyns. A multiple criterion method for detecting damage on structures. American Institute of Aeronautics and Astronautics Journal, 195 (1998), 1494-1501. ISSN: 0001-1452.

• T. Marwala and P.S. Heyns. New criteria for comparing frequency response functions. Research & Development Journal, 14 (1998), 49-55. Bronze Medal from the SAIME.

• T. Marwala and H.E.M. Hunt. Fault identification using finite element models and neural networks. Mechanical Systems and Signal Processing, 13 (1999), 475-490. ISSN: 0888-3270.

• T. Marwala. On damage identification using a committee of neural networks. American Society of Civil Engineers, Journal of Engineering Mechanics, 126 (2000), 43-50. ISSN: 0733-9399.

• T. Marwala and H.E.M. Hunt. Is damage identification using vibration data in a population of cylinders feasible? Journal of Sound and Vibration, 237 (2000), 727-732. ISSN: 0022-460X.

• T. Marwala and H.E.M. Hunt.  Fault detection using pseudo-modal-energies and modal properties. International Journal of Engineering Simulation, 1 (2000), 4-10. ISSN: 1468-1137.

• T. Marwala. Probabilistic fault identification using a committee of neural networks and vibration data.  American Institute of Aeronautics and Astronautics, Journal of Aircraft, 38 (2001) 138-146. ISSN 0021-8669.

• T. Marwala. Scaled conjugate gradient and Bayesian training of neural networks for fault identification in cylinders. Computers and Structures, 79/32 (2001), 2793-2803. ISSN: 0045-7949.

• T. Marwala. On fault identification using pseudo-modal-energies and modal properties.  American Institute of Aeronautics and Astronautics Journal, 39 (2001), 1608-1617. ISSN: 0001-1452.

• T. Marwala.  Probabilistic fault identification using vibration data and neural networks. Mechanical Systems and Signal Processing, 15 (2001), 1109-1128. ISSN: 0888-3270.

• T. Marwala. Finite element updating using wavelet data and genetic algorithm.  American Institute of Aeronautics and Astronautics, Journal of Aircraft, 39 (2002), 709-711. ISSN 0021-8669.

• T. Marwala. Fault classification using pseudo modal energies and neural networks. American Institute of Aeronautics and Astronautics Journal, 2003, 41(1), 82-89. ISSN: 0001-1452.

• T. Marwala. Control of complex systems using Bayesian neural networks and genetic algorithm, International Journal of Engineering Simulation, 2004, 5(2), 28-37. ISSN: 1468-1137.

• T. Marwala. Fault classification using pseudo modal energies and probabilistic neural networks. American Society of Civil Engineers, Journal of Engineering Mechanics, 2004, 130(11), pp. 1346-1355. ISSN: 0733-9399.

• T. Marwala and S. Sibisi. Finite element updating using Bayesian framework and modal properties American Institute of Aeronautics and Astronautics, Journal of Aircraft, 2005, 42(1), pp. 275-278. ISSN 0021-8669.

• T. Marwala. Finite element model updating using particle swarm optimization. International Journal of Engineering Simulation, 2005, 6(2), pp. 25-30. ISSN: 1468-1137.

• M. Lagazio and T. Marwala. Assessing Different Bayesian Neural Network Models for Militarized Interstate Dispute. Social Science Computer Review, 2005, 24(1), pp. 1-12. ISSN: 0894-4393.

• L.A. Machowski and T. Marwala. Using object oriented calculation process framework and neural networks for classification of image shapes. International Journal of Innovative Computing, Information and Control, 2005, 1(4), pp. 609-623. ISSN 1349-4198.

• C.B. Vilakazi, T. Marwala, R.P. Mautla and E.M. Moloto. On-line bushing condition monitoring using computational intelligence. WSEAS Transactions on Power Systems, 2006, 1(1), pp. 280-287. ISSN: 1790-5060.

• S.M. Dhlamini, F.V. Nelwamondo and T. Marwala. Condition monitoring of HV bushings in the presence of missing data using evolutionary computing. WSEAS Transactions on Power Systems, 2006, 1(2), pp. 296-302. ISSN: 1790-5060.

• M. Abdella and T. Marwala. The use of genetic algorithms and neural networks to approximate missing data in database. Computing and Informatics, 2006, 24, pp. 1001-1013. ISSN 1335-9150.

• N. Mohamed, D. Rubin and T. Marwala. Detection of epileptiform activity in human EEG signals using Bayesian neural networks. Neural Information Processing – Letters and Reviews, 2006, 10(1), pp. 1-10. ISBN: 89-89453-04-6 93560.

• B. Leke, T. Marwala, T. Tim and M. Lagazio. Using genetic algorithms versus line search optimization for HIV Predictions WSEAS Transactions on Information Science and Applications, 2006, 4(3), pp. 684-690, ISSN 1790 – 0832.

• S. Chakraverty, T. Marwala and P. Gupta. Response prediction of structural system subject to earthquake motions using artificial neural network. Asian Journal of Civil Engineering, 2006, 7(3), pp. 301-308. Errata in 2006 7(6) pp. 685-693.

• T. Marwala and S. Chakraverty. Fault classification in structures with incomplete measured data using autoassociative neural networks and genetic algorithm.Current Science, 2006, 90(4), pp. 542-548.

• T. Marwala, S. Chakraverty, U. Mahola. Fault classification using multi-layer perceptrons and support vector machines. International Journal of Engineering Simulation, 2006, vol. 7, no. 1, pp. 29-35, ISSN: 1468-1137.

• F.V. Nelwamondo, U. Mahola and T. Marwala. Multi-scale fractal dimension for speaker identification system. WSEAS Transactions on Systems, 2006, 5(5), pp. 1152-1157. ISSN: 1109-2777.

• Fulufhelo V. Nelwamondo, Tshilidzi Marwala and Unathi Mahola Early Classifications of bearing faults using hidden Markov models, Gaussian mixture models, Mel-frequency Cepstral coefficients and fractals. International Journal of Innovative Computing, Information and Control, 2006, Vol. 2, No. 6, pp. 1281-1299.

• B. Leke, T. Marwala, T. Tettey. Using inverse neural network for HIV adaptive control. International Journal of Computational Intelligence Research, 2007,Vol.3, No. 1, pp. 11-15.

• Brain Betechuoh Leke, T. Marwala and Thando Tettey. Autoencoder networks for HIV classification. Current Science, 2006, vol. 91, no. 11, pp. 1467-1473.

• T. Marwala. Bayesian training of neural network using genetic programming. Pattern Recognition Letters, 2007, 28, pp. 1452–1458.

• T. Marwala, U. Mahola and S. Chakraverty. Fault classification in cylinders using multi-layer perceptrons, support vector machines and Gaussian mixture models. Computer Assisted Mechanics and Engineering Sciences, Vol. 14, No. 2, pp. 307-316, 2007.

• S. Mohamed, T. Marwala and D. Rubin. Adaptive GPCR Classification Based on Incremental Learning. SAIEE Africa Research Journal, (Accepted) arXiv: 0704.3453.

• F. Nelwamondo and T. Marwala. Fuzzy ARTMAP and Neural Network Approach to Online Processing of Inputs with Missing Values. SAIEE Africa Research Journal, 2007, 93(11), pp. 1514-1521.

• F. Nelwamondo and T. Marwala. Techniques for handling missing data: applications to online condition monitoring. International Journal of Innovative Computing, Information and Control, 2008, 4(6), 1507-1526.

• F.V. Nelwamondo, S. Mohamed and T. Marwala. Missing Data: A Comparison of Neural Network and Expectation Maximisation Techniques. Current Science 2007, 93(11), pp. 1507-1526.

• M. A. Herzog, T. Marwala, T. And P.S. Heyns, Machine and Component Residual Life Estimation through the Application of Neural Networks. Reliability Engineering & System Safety, Volume 94, Issue 2, February 2009, Pages 479-489.

• T. Marwala and B. Crossingham. HIV status estimation using optimization, rough sets and demographic data. Current Issue
  Vol. 95 No. 9 10 November 2008, pp. 1123-1124.

• B. Crossingham and T. Marwala. Using optimisation techniques for discretizing rough set partitions. International Journal of Hybrid Intelligent Systems Volume 5, Issue 4  (December 2008), pp. 219-236.

• I.S. Msiza, F.V. Nelwamondo, T. Marwala. Water demand prediction using artificial neural networks and support vector regression. Journal of ComputersVolume. 3, Number 11, November 2008.