Books

1.      T. Marwala. Computational Intelligence for Modelling Complex Systems. Research India Publications, 2007, ISBN: 978-81-904362-1-2.

2.      N. Callaos, W. Lesso, C.D. Zinn, J. Baralt, J. Boukachour, C. White, T. Marwala and F.V. Nelwamondo (Editors). The Proceedings of the 12th World Multi Conference on Systemics, Cybernetics and Informatics, Florida International Institute of Informatics and Systematics Publication, Vol. 5, 2008, ISBN: 13:978-1-934272-35-0.

3.      T. Marwala. Computational Intelligence for Missing Data Imputation, Estimation and Management: Knowledge Optimization Techniques. Information Science Reference Imprint, IGI Global Publications, New York, ISBN: 1-60566-336-0, April 2009.

 

Peer Reviewed Journal Publications 

4.      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.

5.      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.

6.      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.

7.      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.

8.      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.

9.      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.

10.  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.

11.  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.

12.  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.

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

14.  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.

15.  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.

16.  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.

17.  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.

18.  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.

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

20.  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.

21.  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.

22.  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.

23.  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.

24.  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.

25.  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.

26.  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.

27.  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.

28.  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.

29.  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.

30.  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.

31.  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.

32.  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.

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

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

35.  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.

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

37.  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.

38.  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.

39.  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.

40.  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.

41.  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.

42.  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.

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

Peer Reviewed Book Chapters

44.  T. Marwala and P.S. Heyns. A new multi-criteria method for determining damage on structures. Optimum Dynamic Design, 143-148 (1997), Delhi, India, (Eds.) T.K. Kundra and B.C. Nakra.

45.  T. Marwala and H.E.M. Hunt. Fault identification using a committee of neural networks. Identification in Engineering Systems 102-111 (1999), Swansea Wales, UK., (Eds.) M.I. Friswell, J.E. Mottershead and A.W. Lees

46.  T. Marwala and H.E.M. Hunt. Comparison between maximum likelihood and Bayesian networks for fault identification.  Advanced Problems in Vibration Theory and Applications 255-261 (2000), X’ian, Peoples Republic of China (Ed. Z. Zhang).

47.  J.M. Spiller and T. Marwala. Medical Image Segmentation and Localization using Deformable Templates.  In Imaging the Future Medicine, Proceedings of the IFMBE, 2006, Vol. 14, pp. 3581-3585, Springer-Verlag, Berlin Heidelberg. Eds. Sun I. Kim and Tae Suk Sah, ISBN: 978-3-540-36839-7.

48.  D.L. Falk, D.M. Rubin and T. Marwala. Enhancement of Noisy Planar Nuclear Medicine Images using Mean Field Annealing. In Imaging the Future Medicine, Proceedings of the IFMBE, 2006, Vol. 14, pp. 3581-3585, Springer-Verlag, Berlin Heidelberg. Eds. Sun I. Kim and Tae Suk Sah, ISBN: 978-3-540-36839-7.

49.  T.N. Tim and T. Marwala. Computational Intelligence Methods for Risk Assessment of HIV. In Imaging the Future Medicine, Proceedings of the IFMBE, 2006, Vol. 14, pp. 3581-3585, Springer-Verlag, Berlin Heidelberg. Eds. Sun I. Kim and Tae Suk Sah, ISBN: 978-3-540-36839-7.

50.  T. Tettey T. Marwala Neuro-fuzzy modeling and fuzzy rule extraction applied to conflict management. Lecture Notes in Computer Science, Volume 4234, 2006, pp. 1087-1094, Springer-Verlag, Berlin Heidelberg.

51.  F. Soares, J. Burken, T. Marwala. Neural network applications in advanced aircraft flight control system, a hybrid system, a flight test demonstration. Lecture Notes in Computer Science,, Volume 4234, 2006, pp.  684-691, Springer-Verlag, Berlin Heidelberg.

52.  P. Patel and T. Marwala. Neural networks, fuzzy inference systems and adaptive-neuro fuzzy inference systems for financial decision making. Lecture Notes in Computer Science, Volume 4234, 2006, pp. 430-439, Springer-Verlag, Berlin Heidelberg.

53.  D. Lunga, T. Marwala. Online forecasting of stock market movement direction using the improved incremental algorithm. Lecture Notes in Computer Science, Volume 4234, 2006, pp.  440-449, Springer-Verlag, Berlin Heidelberg.

54.  D. Lunga and T. Marwala. Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers. Lectures Notes in Artificial Intelligence, 2006, Volume 4304/2006, pp. 312-321, Springer-Verlag, Berlin Heidelberg.

55.  F.V. Nelwamondo and T. Marwala. Handling Missing Data from Heteroskedastic and Nonstationary Data. Lecture Notes in Computer Science, 2007, vol. 4491, no. 1, pp. 1297-1306, Springer-Verlag, Berlin Heidelberg.

56.  B. Vilakazi and T. Marwala. Incremental Learning and Its Application to Bushing Condition Monitoring. Lecture Notes in Computer Science, 2007, vol. 4491, no. 1, pp. 1241-1250, Springer-Verlag, Berlin Heidelberg.

57.  D.M. Starfield, D.M. Rubin and T. Marwala. Near-Field Artifact Reduction using Realistic Limited-Field-of-View Coded Apertures in Planar Nuclear Medicine Imaging. In Imaging the Future Medicine, Proceedings of the IFMBE, 2006, Vol. 14, pp. 3581-3585, Springer-Verlag, Berlin Heidelberg. Eds. Sun I. Kim and Tae Suk Sah, ISBN: 978-3-540-36839-7.

58.  D.M. Starfield, D.M. Rubin and T. Marwala. Sampling Considerations and Resolution Enhancement in Ideal Planar Coded Aperture Nuclear Medicine Imaging, pp. 806-809. 11th Mediterranean Conference on Medical and Biological Engineering June 2007, Ljubljana, Slovenia (IFMBE Proceedings vol. 16) MEDICON 2007, 26-30 by Tomaz Jarm (Editor), Peter Kramar (Editor), Anze Zupanic (Editor) Springer, ISBN-10: 3540730435.

59.  D.M. Starfield, D.M. Rubin and T. Marwala. Design of an ultra-near-field system for planar coded aperture nuclear medicine imaging. 2008, Proceedings of the International Federation for Medical and Biological Engineering, 2008, vol. 20, pp. 590-593, Springer, ISBN: 978-3-540-69366-6, Editors:  Yuri Dekhtyar, Alexei Katashev and Janis Spigulis

60.  Megan J. Russell1, David M. Rubin, Brian Wigdorowitz and Tshilidzi Marwala. The artificial larynx: A review of current technology and a proposal for future development. Proceedings of the International Federation for Medical and Biological Engineering, 2008, vol. 20, pp. 160-163, Springer, ISBN: 978-3-540-69366-6, Editors:  Yuri Dekhtyar, Alexei Katashev and Janis Spigulis.

61.  Bodie Crossingham, Tshilidzi Marwala. Using Genetic Algorithms to Optimise Rough Set Partition Sizes for HIV Data Analysis. Studies in Computational Intelligence, Springer-Verlag, vol. 78, pp. 245-250, ISSN: 1860-949X.

62.  T. Marwala and B.C. Vilakazi. Condition Monitoring using Computational Intelligence. In Handbook on Computational Intelligence in Manufacturing and Production Management, IGI Publishers Chapter 6, 2007, pp. 106-143, ISBN 1599045826.

63.  B.C. Vilakazi and T. Marwala. Computational Intelligence Approach to Bushing Condition Monitoring: Incremental learning and its Application. Intelligent Engineering Systems. In Intelligent Engineering Systems and Computational Cybernetics Machado, J.A. Tenreiro; Pátkai, Béla; Rudas, Imre J. (Eds.) 2008, ISBN: 978-1-4020-8677-9

 

Peer Reviewed Book Chapters/Conference Proceedings 

64.  T. Marwala and P.S. Heyns A multiple-criterion method for determining structural damage. In Proceedings of the 16th International Modal Analysis Conference, Santa Barbara, 1998, pp. 1682-1687.

65.  T. Marwala and H.E.M. Hunt, Probabilistic fault identification using vibration data and neural networks.  In Proceedings of the 18th International Modal Analysis Conference, San Antonio, Texas, 2000, pp. 674-680.

66.  T. Marwala and H.E.M. Hunt. Feasibility of damage detection using vibration data in a population of cylinders.  In Proceedings of the 18th International Modal Analysis Conference, San Antonio, Texas, 2000, pp. 1577-1583.

67.  T. Marwala and H.E.M. Hunt. Maximum Likelihood and Bayesian Neural Networks for Damage Identification, In Proceedings of the 19th International Modal Analysis Conference, Kissimmee, 2001, pp. 355-361.

68.  T. Marwala, S. Adhikari and P.S. Heyns.  Dynamic model updating using pseudo modal energies. Proceedings of the SPIE - The International Society for Optical Engineering. 2001, 4359(1), pp. 355-361. ISSN: 0361-0748.

69.  T. Marwala and H.E.M. Hunt. Detection and classification of faults using maximum-likelihood and Bayesian approach, Proceedings of SPIE: The International Society for Optical Engineering, 2001, 4359(1), pp. 207-213. ISSN: 0361-0748.

70.  P. Mariano, R, L. Correia, Ribeiro, V. Abramov, N. Szirbik, J. Goossenaerts, T. Marwala, P. de Wilde. Simulation of a trading multi-agent system, In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Tucson, Arizona, USA,  2001, pp. 3378-3384.

71.  V.A. Abramov, N.B. Szirbik, J.B.M. Goossenaerts, T. Marwala, P. De Wilde, L. Correia, P. Mariano, R. Ribeiro Ontological basis for open distributed multi-agent system, In Proceedings of the Symposium on Adaptive Agents and Multi-Agent Systems, York, U.K., 2001, pp. 33-43.

72.  T. Marwala, P. de Wilde, L. Correia, P. Mariano, R. Ribeiro, V. Abramov, N. Szirbik, J. Goossenaerts, Scalability and optimisation of a committee of agents using genetic algorithm In Proceedings of the International Symposia on Soft Computing and Intelligent Systems for Industry, Scotland, 2001. Best Paper Award.

73.  L. Mdlazi, T. Marwala, C. Stander, C. Scheffer and P.S. Heyns, Principal component analysis and automatic relevance determination for damage identification in structures. In Proceedings of the 21st International Modal Analysis Conference, San Antonio, 2003, pp. 37-42.

74.  T. Marwala. Control of fermentation process using Bayesian neural networks and genetic algorithm, In Proceedings of the African Control Conference, Cape Town, 2003, pp. 449-454.

75.  L. Mdlazi, C.J. Stander, T. Marwala, P.S. Heyns. Development of a synchronous filter for time domain and rotation domain averaging. In Proceedings of the South African Computational and Applied Mechanics Conference, Johannesburg, (2003)

76.  T. Marwala. Finite element model updating using response surface method. In Proceedings of the 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference, Palm Springs, California, USA, April 2004, AIAA Paper 2004-2005, pp. 5165-5173.

77.  T. Marwala and M. Lagazio. Modelling and controlling interstate conflict. In Proceedings of the IEEE International Joint Conference on Neural Networks 2004, July 25-29, 2004, Budapest, Hungary, pp. 1233-1238. ISBN: 0-7803-8360-5.

78.  L.A. Machowski and T. Marwala. Representing and matching 2D shapes of natural objects using neural networks, In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, The Hague, Nederland, 2004, pp. 6366-6372. ISBN: 0-7803-8566-7.

79.  M.M. Pires and T. Marwala. Option pricing using neural networks and support vector machines, In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, The Hague, Nederland, 2004, pp. 1279-1285. ISBN: 0-7803-8566-7.

80.  Z.A. Dindar and T. Marwala. Option pricing using a committee of neural networks. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, The Hague, Nederland, 2004, pp. 434-438. ISBN: 0-7803-8566-7.

81.  S.M. Dhlamini and T. Marwala. Bushing monitoring using MLP and RBF. In Proceedings of the IEEE Africon 2004, Gaborone, Botswana, 2004, pp. 613-617. ISBN: 0-7803-8605-1.

82.  S.M. Dhlamini and T. Marwala. An application of SVM, RBM and MLP with ARD on bushings. In Proceedings of the IEEE Conference on Cybernetics and Intelligent Systems (CIS), Singapore, 2004.

83.  T. Marwala Evolutionary Optimization methods in finite element model updating. In Proceedings of the International Modal Analysis Conference, Orlando, Florida, USA, 2005. ISBN: 0-912053-89-5.

84.  T. Marwala and S. Sibisi. Finite element model updating using Bayesian approach. In Proceedings of the International Modal Analysis Conference, Orlando, Florida, USA, 2005. ISBN: 0-912053-89-5.

85.  E. Marais and T. Marwala. Predicting global Internet instability caused by worms using neural networks. In Proceedings of the Annual Symposium of the Pattern Recognition Association of South Africa. 2004, Cape Town, pp. 81-85. ISBN: 0-7992-2278-X.

86.  B. van Aardt and T. Marwala. Reducing inter-agent communication due to negotiation in multi-agent systems through learning. In Proceedings of the Annual Symposium of the Pattern Recognition Association of South Africa, Cape Town, pp. 149-154. ISBN: 0-7992-2278-X.

87.  M.M. Pires and T. Marwala. Option pricing using Bayesian neural networks. In Proceedings of the Annual Symposium of the Pattern Recognition Association of South Africa 2004, Cape Town, pp. 161-166. ISBN: 0-7992-2278-X.

88.  L. Mdlazi, C.J. Stander, P.S. Heyns, T. Marwala. Using artificial intelligence for data reduction in mechanical engineering. In Proceedings of the Annual Symposium of the Pattern Recognition Association of South Africa 2004, Cape Town, pp. 69-74. ISBN: 0-7992-2278-X.

89.  E. Teweldemedhin, T. Marwala and C. Mueller Agent-based modelling: A case study in HIV Epidemic. In Proceedings of the IEEE 4th International Conference in Hybrid Intelligent Systems, 2004, Japan, pp. 154-159.

90.  B. Van Aardt and T. Marwala. A study in a hybrid centralised-swarm agent community. In Proceedings of the IEEE 3rd International Conference on Computational Cybernetics, 2005, Mauritius, pp. 169-174. ISBN: 963-7154-38-8.

91.  M. Abdella and T. Marwala. The use of genetic algorithms and neural networks to approximate missing data in database. In Proceedings of the IEEE 3rd International Conference on Computational Cybernetics, 2005, Mauritius, pp. 207-212. ISBN: 963-7154-38-8.

92.  M.M. Pires and T. Marwala. American option pricing using Bayesian multi-layer perceptrons and Bayesian support vector machines. In Proceedings of the IEEE 3rd International Conference on Computational Cybernetics, 2005, Mauritius, pp. 219-224. ISBN: 963-7154-38-8.

93.  L.A. Machowski and T. Marwala An object oriented calculation process framework. In Proceedings of the IEEE 3rd International Conference on Computational Cybernetics, 2005, Mauritius, pp. 201-206. ISBN: 963-7154-38-8.

94.  N. Mohamed, D.M. Rubin and T. Marwala Detection of epileptiform activity in human EEG signals using Bayesian neural networks. In Proceedings of the IEEE 3rd International Conference on Computational Cybernetics, 2005, Mauritius, pp. 231-237. ISBN: 963-7154-38-8.

95.  T.M. Ransome, D.M. Rubin and T. Marwala and E.A. de Kok. Optimising the verification of patient positioning in proton beam therapy. In Proceedings of the IEEE 3rd International Conference on Computational Cybernetics, 2005, Mauritius, pp. 279-284. ISBN: 963-7154-38-8.

96.  E. Habtemariam, T. Marwala and M. Lagazio. Artificial intelligence for conflict management. In Proceedings of the IEEE International Joint Conference on Neural Networks, Montreal, Canada, 2005, pp. 2583-2588. ISBN: 0-7803-9049-0.

97.  M. Abdella and T. Marwala. Treatment of missing data using neural networks. In Proceedings of the IEEE International Joint Conference on Neural Networks, Montreal, Canada, 2005, pp. 598-603. ISBN: 0-7803-9049-0.

98.  B. Leke and T. Marwala. Optimization of the stock market input time-window using Bayesian neural networks. In Proceedings of the IEEE International Conference on Service Operations, Logistics and Informatics, Beijing, China, 2005, pp. 883-894 ISBN: 0-975-8783-1-X.

99.  S.M. Dhlamini, T Marwala, Bushing diagnostics using an ensemble of parallel neural networks. In Proceedings of the IEEJ-IEEE Symposium on Electrical Insulating Materials (ISEIM05), Fukuoka (Japan), 5-9 June 2005, pp. 289-292. ISBN: 4-88686-063-X C

100.          T. Marwala, S. Chakraverty, U. Mahola. Neural networks and support vector machines for fault identification in cylinders. In Proceedings of International Symposium on Neural Networks and Soft Computing in Structural Engineering, Krakow, Poland, 2005.

101.          S.M. Dhlamini, T Marwala. Cost benefit of using a committee of parallel neural networks for bushing diagnostics. In Proceedings of the IEEE Power Engineering Society Conference (PES05), Durban, July 11-15, 2005, pp. 485-488.

102.          S. Dhlamini, T. Marwala and J van Coller. Modelling inaccuracies from simulators for HV polymer bushings. In Proceedings of the XIVth International Symposium on High Voltage Engineering, Tsinghua University, Beijing, China, 2005, Paper A18.

103.          E. Hurwitz and T. Marwala. Optimising reinforcement learning for neural networks. In Proceedings of the 6th Annual European on Intelligent Games and Simulation, Leicester, UK, 2005, pp. 13-18. ISBN: 90-77381-23-6.

104.          C.B. Vilakazi, R.P. Mautla, E.M. Moloto and T. Marwala. On-Line Bushing Condition Monitoring. In Proceedings of the 5th WSEAS / IASME International Conference on Electric Power Systems, High Voltages, Electric Machines Editors M.I. Garcia-Planas et al., 2005, pp. 406-411. ISBN: 960-8457-38-6.

105.          S. Dhlamini, F.V. Nelwamondo and T. Marwala. Sensor failure compensation techniques for HV bushing monitoring using evolutionary computing. In Proceedings of the 5th WSEAS / IASME International Conference on Electric Power Systems, High Voltages, Electric Machines, Editors M.I. Garcia-Planas et al., 2005, pp. 430-435. ISBN: 960-8457-38-6.

106.          U. Mahola, F.V. Nelwamondo, T. Marwala. HMM sub-band based speaker identification. In Proceedings of the 16th Annual Symposium of the Pattern Recognition Society of South Africa. 2005, Langebaan, South Africa, pp. 123-128. ISBN: 0-7992-2264-X.

107.           S. Mohamed, T. Marwala. Neural network based techniques for estimating missing data in databases. In Proceedings of the 16th Annual Symposium of the Pattern Recognition Society of South Africa, 2005, Langebaan, South Africa, pp. 27-32. ISBN: 0-7992-2264-X.

108.          D. Starfield, D. Rubin and T. Marwala, A geometric method for near-field artefact reduction in planar coded aperture nuclear medicine imaging.  In Proceedings of the 3rd European Medical and Biological Engineering Conference, Prague Czech Republic 2005. ISSN: 1727-1984.

109.          B. Leke, T. Marwala, T. Tim and M. Lagazio. A comparative study between genetic algorithms and line search algorithm optimization for HIV predictions. In Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, Madrid, Spain, February 15-17, 2006, pp. 231-236, ISBN: 1790-5117.

110.          C.B. Vilakazi, T. Marwala. Bushing fault detection and diagnosis using extension neural network. In Proceedings of the 10th IEEE International Conference on Intelligent Engineering Systems, 2006, pp. 170-174, ISBN: 1-4244-9708-8.

111.          T. Tettey, T. Marwala Controlling interstate conflict using neuro-fuzzy modeling and genetic algorithms. In Proceedings of the 10th IEEE International Conference on Intelligent Engineering Systems, 2006, pp. 30-44, ISBN: 1-4244-9708-8.

112.          T. Marwala. Genetic approach to Bayesian training of neural networks. In Proceedings of the IEEE International Joint Conference on Neural Networks, BC, Canada, 2006, pp. 7013-7017, ISBN: 0-7803-9489-5.

113.          T. Marwala, U. Mahola and F.  Nelwamondo Hidden Markov models and Gaussian mixture models for bearing fault detection using fractals. In the Proceedings of the IEEE International Joint Conference on Neural Networks, BC, Canada, 2006, pp. 5876-5881, ISBN: 0-7803-9489-5. Best Presentation Award.

114.          F. Nelwamondo, U. Mahola and T. Marwala. Improving speaker identification rate using fractals In the Proceedings of the IEEE International Joint Conference on Neural Networks, BC, Canada, 2006, pp. 5870-5875, ISBN: 0-7803-9489-5.

115.          S. Mohamed, T. Tettey and T. Marwala An extension neural network and genetic algorithm for bearing fault classification In the Proceedings of the IEEE International Joint Conference on Neural Networks, BC, Canada, 2006, pp. 7673-7679, ISBN: 0-7803-9489-5. Best Presentation Award.

116.          Lukasz A. Machowski, and Tshilidzi Marwala. Using Images to create a Hierarchical Grid Spatial Index. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006, pp. 1974-1979.

117.          S.M. Dhlamini, T. Marwala, and T. Majozi. Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006, pp. 1331-1336.

118.          F. Nelwamondo and T. Marwala. Fault Detection Using Gaussian Mixture Models, Mel-Frequency Ceptral Coefficient and Kurtosis. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006, pp. 290-295.

119.          B.C. Vilakazi and T. Marwala. Application of Feature Selection and Fuzzy ARTMAP to Intrusion Detection. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006, pp. 4880-4885.

120.    B.B. Leke, T. Marwala, T. Tim, M. Lagazio. Prediction of HIV Status from Demographic Data Using Neural Networks. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006, pp. 2339-2344.

121.    S. Mohamed, D. Rubin and T. Marwala. Multi-class Protein Sequence Classification Using Fuzzy ARTMAP. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006, pp. 1676-1681.

122.    P.B. Patel and T. Marwala. Forecasting closing price indices using neural networks. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006, pp. 2351-2356.

123.    T. Marwala, T. Tettey and S. Chakraverty. Fault Classification in Structures Using Pseudomodal Energies and Neuro-fuzzy Modelling. In Proceedings of the Asia-Pacific Workshop on Structural Health Monitoring, Yokohama, Japan, 2006, (to appear). Invited Paper.

124.    F. Nelwamondo and T. Marwala. Fuzzy ARTMAP and Neural Network Approach to Online Processing of Inputs with Missing Values. In Proceeding of the Pattern Recognition of South Africa, pp. 177-182, ISBN 10: 0-620-37384-9.

125.    B. Betechouoh Leke. Ant Colony Optimization for Missing Data Estimation. In Proceeding of the Pattern Recognition of South Africa, pp. 183-188, ISBN 10: 0-620-37384-9. 

126.    S. Mohamed, T. Marwala and D. Rubin. Adaptive GPCR Classification Based on Incremental Learning. In Proceeding of the Pattern Recognition of South Africa, pp. 201-206, ISBN 10: 0-620-37384-9.

127.    C.B. Vilakazi and T. Marwala. A multi-agent system for bushing condition monitoring. In Proceeding of the Pattern Recognition of South Africa, pp. 207-212, ISBN 10: 0-620-37384-9. 

128.    T. Tettey and T. Marwala. Modelling Conflict: Knowledge Extraction using Bayesian Neural Network. In Proceeding of the Pattern Recognition of South Africa, pp. 231-236, ISBN 10: 0-620-37384-9.

129.    T. Tettey, F. V. Nelwamondo and T. Marwala, HIV Data Analysis via Rule Extraction using Rough Sets, In proceedings of the 11th IEEE International Conference on Intelligent Engineering Systems, 29 June-1July 2007, Budapest, Hungary, pp. 105-110.

130.    Thando Tettey and Tshilidzi Marwala. Conflict Modelling and Knowledge Extraction using Computational Intelligence Methods. In proceedings of the 11th IEEE International Conference on Intelligent Engineering Systems, 29 June-1July 2007, Budapest, Hungary, pp. 161-166.

131.    F.V. Nelwamondo and T. Marwala Rough Set Theory for the Treatment of Incomplete Data. In Proceedings of the IEEE Conference on Fuzzy Systems, 2007 pp. 338-343.

132.    I.S. Msiza, F.V. Nelwamondo and T. Marwala. Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions. In Proceedings of the International Joint Conference on Neural Networks, 2007, ISBN: 1-4244-1380-X.

133.    Shakir Mohamed, David Rubin and Tshilidzi Marwala. Incremental Learning for Classification of Protein Sequences. In Proceedings of the International Joint Conference on Neural Networks, 2007, ISBN: 1-4244-1380-X.

134.    C.B. Vilakazi and T. Marwala. Online Incremental Learning for High Voltage Bushing Condition Monitoring. In Proceedings of the International Joint Conference on Neural Networks, 2007, ISBN: 1-4244-1380-X.

135.    D. Starfield, D.M. Rubin, T. Marwala. High Transparency Coded Apertures in Planar Nuclear  Medicine Imaging. 29th International Conference of the IEEE Engineering in
Medicine and Biology Society, Lyon, France 2007, pp. 4468-4471.

136.    Sizwe M. Dhlamini, Michael O. Kachienga, T. Marwala. Artificial Intelligence as an Aide in Management of Security Technology. IEEE 2007 Africon Conference, Paper: 200.

137.    Jonathan Michael Spiller, Tshilidzi Marwala. Evolutionary Algorithms for Warp Control Point Placement. The 2nd International Symposium on Intelligence Computation and Applications (ISICA 2007) Wuhan, China, pp. 327-331.

138.    Jonathan Michael Spiller, Tshilidzi Marwala. Object Localization in Aerial Images Using Deformable Templates. First International Symposium on Information and Computer Elements, ISICE 2007, 2007 in Kitakyushu, Japan, pp. 343-347.

139.    Evan Hurwitz and Tshilidzi Marwala. Learning to bluff: A multi-agent approach. IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, pp. 1188-1193.

140.    Gregory Hulley and Tshilidzi Marwala. Genetic algorithm based incremental learning for optimal weight and classifier selection. In Computational Models for Life Sciences. American Institute of Physics Series, 952, 2007, pp. 258-267 doi: 10.1063/1.2816630, ISSN: 0094243X..

141.    Bodie Crossingham and Tshilidzi Marwala. Using optimisation techniques to granulise rough set partitions. In Computational Models for Life Sciences, American Institute of Physics 952, 2007, pp. 248-257, doi: 10.1063/1.2816629, ISSN: 0094243X.

142.    I. Msiza, F.V. Nelwamondo and T. Marwala. Artificial Neural Networks and Support Vector Machines for Water Demand Time Series Forecasting. IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, pp. 638-643.

143.    A. Gidudu, G. Hulley and T. Marwala. Image classification using SVMs: One-against-one vs One-against-all. Proceeding of the 28th Asian Conference on Remote Sensing, 2007, Malaysia, ISBN: 978-983-43550-0-5.

144.    E. Hurwitz and T. Marwala. Multi-agent modeling of interaction-based card games. In the Proceedings of the 3rd International North American Conference on Intelligent Games and Simulation, 2007, University of Florida, USA, pp. 23-28.

145.    T. Mwakabaga, I.S. Msiza and T. Marwala. Local Loop Unbundling: A Way for Societies to Benefit from ICT. Proceedings of the 5th International Conference on Open Access, Bagamoyo, Tanzania

146.    B.B. Leke, T. Marwala and J.V. Manana. Computational intelligence for HIV modelling. Proceedings of the IEEE Conference on Intelligent Engineering Systems, 2008, pp. 127-132.

147.    V. Marivate, G. Ssali, T. Marwala. An intelligent multi-agent recommender system for human capacity building. Proceedings of the 14th IEEE Mediterranean Electrotechnical Conference, 2008, pp. 909 – 915.

148.    V.N. Marivate, V. F. Nelwamondo, T. Marwala, Investigation into the use of Autoencoder Neural Networks, Principal Component Analysis and Support Vector Regression in estimating missing HIV data, Proceedings of the 17th World Congress of The International Federation of Automatic Control, Seoul, Korea, July 6-11, 2008, pp 682-689.

149.    George Ssali and Tshilidzi Marwala. Estimation of missing data using computational intelligence and decision trees. Proceedings of the IEEE International Joint Conference on Neural Networks, 2008, pp. 201-207.

150.          B.B.E. Kiremile and T. Marwala. Non-stationarity detection: A stationarity index approach. Proceedings of the IEEE International Congress on Image and Signal Processing, 2008, pp. 373-378.

151.          F. V. Nelwamondo and T. Marwala, Key issues on computational intelligence techniques for missing data imputation- A review, Proceedings of the 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008, June 29th –July 2nd, Orlando, Florida, USA, pp. 36-41.

152.          J. Mistry, F. V. Nelwamondo and T. Marwala, Using principal component analysis and autoassociative neural networks to estimate missing data in a database, Proceedings of the 12th World Multi-Conference on   Systemics, Cybernetics and Informatics: WMSCI 2008, June 29th –July 2nd, Orlando, Florida, USA, pp. 24-29. Best Paper Award.

153.          A.K. Mohamed, F. V. Nelwamondo and T. Marwala. Estimation of missing data: Neural networks, principal component analysis and genetic algorithms. Proceedings of the 12th World Multi-Conference on   Systemics, Cybernetics and Informatics: WMSCI 2008, June 29th –July 2nd, Orlando, Florida, USA, pp. 36-41.

154.          V. Marivate and T. Marwala. Relational networks for HIV classification. Proceedings of the IASTED Africa Conference on Modelling and Simulation, Editor: F.J. Ogwu, pp. 275-279.

155.          N. Hlalele, F.V. Nelwamondo and T. Marwala. Estimation of missing data using a neuro-fuzzy architecture. Proceedings of the IASTED Africa Conference on Modelling and Simulation, Editor: F.J. Ogwu, pp. 24-29.

156.          L. Masisi. F.V. Nelwamondo and T. Marwala. The effect of structural diversity of an ensemble of classifiers on classification accuracy Proceedings of the IASTED Africa Conference on Modelling and Simulation, Editor: F.J. Ogwu, pp. 135-140.

157.          J. Mistry, F.V. Nelwamondo and T. Marwala. Investigation of autoencoder neural network accuracy for computational intelligence methods to estimate missing data. Proceedings of the IASTED Africa Conference on Modelling and Simulation, Editor: F.J. Ogwu, pp. 275-279.

158.          M. Perez, D. Rubin and T. Marwala. Simulation of Retinal Function: A fuzzy-linear approach. Proceedings of the IEEE International Conference on Man, Systems and Cybernetics, 2008, (accepted).

159.          W.S. Miya, L.J. Mpanza, F.V. Nelwamondo and T. Marwala. Condition monitoring of oil-impregnated paper bushings using extension neural network, Gaussian mixture models and hidden Markov models. Proceedings of the IEEE International Conference on Man, Systems and Cybernetics, 2008, (accepted).

160.          T. Marwala and B. Crossingham. Neuro-rough models for modelling HIV. Proceedings of the IEEE International Conference on Man, Systems and Cybernetics, 2008, (accepted).

161.          Pretesh Patel and Tshilidzi Marwala. Interactive voice response field classifiers. Proceedings of the IEEE International Conference on Man, Systems and Cybernetics, 2008, (accepted).

162.          B. Crossingham, T. Marwala, and M. Lagazio. Optimized rough sets for modelling interstate conflict. Proceedings of the IEEE International Conference on Man, Systems and Cybernetics, 2008, (accepted).

163.          W. Majavo, T. van Zyl and T. Marwala. Classification of web resident sensor resources using latent semantic indexing and ontologies. Proceedings of the IEEE International Conference on Man, Systems and Cybernetics, 2008, (accepted).

164.          P.B. Patel and T. Marwala. Interactive voice response field classifiers. Proceedings of the IEEE International Conference on Man, Systems and Cybernetics, 2008, (accepted).

165.          L. Mthembu and T. Marwala. Bayesian evidence for finite element model updating. Proceedings of the IMAC (accepted).

166.          M. Perez, D.M Rubin, T. Marwala, L.E Scott, W. Stevens. A hybrid fuzzy-SVM classifier, applied to gene expression profiling for automated leukaemia diagnosis. Proceedings of the IEEE Conference Israel (accepted).

167.          J. Mistry, F.V. Nelwamondo and T. Marwala. Estimating missing data and determining the confidence of the estimate data. Proceedings of the 2008 International Conference on Machine Learning and Applications (ICMLA'08) pp. 752 – 755.

168.          V.N. Marivate and T. Marwala. Social learning methods in board game agents. Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games (accepted).

169.    A. Gidudu, B. Abe and T. Marwala, Ensemble Feature Selection for Hyperspectral Imagery. Proceedings of the 2008 PRASA.

170.    Dan Golding and Tshilidzi Marwala Impact Assessment of Missing Data Imputation Models. Proceedings of the 2008 PRASA.

171.    Linda Mthembu and Tshilidzi Marwala A note on the separability index. Proceedings of the 2008 PRASA.

172.    Tshilidzi Marwala and Meir Perez. Stochastic optimization approaches for solving Sudoku. Proceedings of SAGO, 2008, ArXiv: 0805.0697.

173.    Vukosi N. Marivate and Tshilidzi Marwala. Introduction of social learning in board games. Proceedings of the 2008 International Symposium on Intelligent Informatics (ISII2008), (accepted).

174.    B. Crossingham, T. Marwala and M. Lagazio. Evolutionarily optimized rough sets partition. Proceedings of the 2008 International Symposium on Intelligent Informatics (ISII2008), (accepted).

175.    T. Marwala and B. Crossingham. Bayesian neuro-rough model. Proceedings of the 2008 International Symposium on Intelligent Informatics (ISII2008), (accepted).

176.    Mistry, J.; Nelwamondo, F. V.; Marwala, T. Investigating a Predictive Certainty measure for Ensemble Based HIV Classification Systems. Computational Cybernetics, 2008. ICCC 2008. IEEE International Conference on 27-29 Nov. 2008 page 231 – 236.

177.    Masisi, L.; Nelwamondo, V.; Marwala, T. The use of entropy to measure structural diversity. Computational Cybernetics, 2008. ICCC 2008. IEEE International Conference on 27-29 Nov. 2008 pages 41 - 45

178.    J. Mistry and T. Marwala. Using predictive certainty of Bayesian neural networks for missing data estimation methods to investigate demographic causes of the HIV/AIDS virus. Proceedings of the 2008 International Symposium on Intelligent Informatics (ISII2008), (accepted).

 

Papers in Popular/Political Journals/Magazines/Archives

179.    T. Marwala. Relevance of artificial intelligence in South African technology arena. In BIT Forum Supplement Enterprise May 2002. 10-11.

180.    T. Marwala. Using computers to monitor the health of structures. In Science in Africa, Issue. 27, June 2003.

181.    T. Marwala. Condition monitoring of mechanical systems. In Electricity + Control, January 2005, pp. 33-35.

182.    T. Marwala. Moulding leaders for 21st-century challenges. In City Press, 24 April 2005, p. 18.

183.    T. Marwala. The national democratic revolution, technology and a developed economy. Umrabulo, Vol. 22, 2005, pp. 58-60.

184.    T. Marwala. Search engines: What is there in South Africa? South Africa: The Quarterly Journal for Trade Partners and Investors. Vol. 3, No. 1, 2005, pp. 66-67.

185.    T. Marwala. Mobilising the cadre to defeat the challenges of the 21st century. Umrabulo, Vol. 23, 2005, pp. 80-82.

186.    T. Marwala. The artificial beer taster. In Electricity + Control, May 2005, pp. 22-23.

187.    T. Marwala. Strategies and tactics for increasing economic participation. Umrabulo, Vol. 24, 2005, pp. 41-43.

188.    T. Marwala. Power blackouts can be beaten. In City Press, 5 March 2006, p. 22.

189.    T. Marwala. Die kragonderbrekings hou 'n paar lesse in. Rapport 4 March, 2006.

190.    T. Marwala. Bridging the digital divide. South Africa: The Quarterly Journal for Trade Partners and Investors. Vol. 3, No. 4, 2006, pp. 19-22.

191.    T. Marwala. Skills development in South Africa. South Africa: The Quarterly Journal for Trade Partners and Investors. Vol. 3, No. 4, 2006, pp. 101-104.

192.    T. Marwala. South Africa's economy can be revolutionised. In City Press, 30 April 2006, pp. 22.

193.    T. Marwala. Skills necessary for the advancement of South Africa. In Umrabulo, Vol. 26, 2006, pp. 60-61.

194.    T. Marwala. Letters: The Chinese Century. Time Magazine. February 2007, Vol. 169, No. 6, p. 10.

195.    T. Marwala. Prospects for improved skills capacity. In Umrabulo, Vol. 28, 2007, pp. 6-8.

196.    T. Marwala. Local Loop Unbundling. EngineerIT April 2007, page. 8.

197.    M.A. Herzog, T. Marwala, P.S. Heyns. Machine and Component Residual Life Estimation through the Application of Neural Networks. ArXiv: 0705.1390.

198.    E. Marais, T. Marwala. Predicting the Presence of Internet Worms using Novelty Detection. ArXiv: 0705.1288.

199.    Dhiresh R. Surajpal, Tshilidzi Marwala. An Independent Evaluation of Subspace Face Recognition Algorithms. ArXiv: 0705.0952.

200.    T. Marwala, M. Lagazio and T. Tettey. An Integrated Human-Computer System for Controlling Interstate Disputes.  ArXiv: 0704.3862.

201.    Tshilidzi Marwala. Local loop unbundling recommendations - What does it mean for an ordinary person? EngineerIT p. 10, June 2007.

202.    Tshilidzi Marwala. Telecoms unbundling will be good for consumers. City Press 8 July 2007, pp. 22.

203.    Tshilidzi Marwala. The anatomy of capital and the National Democratic Revolution. In Umrabulo, Vol. 29, 2007, pp. 57-59.

204.    Tshilidzi Marwala. Building human capital in South Africa. Acumen 3rd Quarter 2007, pp. 22-29.

205.    George Ssali and Tshilidzi Marwala. Estimation of Missing Data Using Computational Intelligence and Decision Trees. 2007, arXiv:0709.1640.

206.    A. Gidudu, B. Abe, T. Marwala Land Cover Mapping Using Ensemble Feature Selection Methods. 2008, arXiv:0811.2016.

207.    Sarah Wright, Tshilidzi Marwala. Artificial Intelligence Techniques for Steam Generator Modelling. 2006, arXiv:0811.1711.

208.    Dan Golding, Linda Wilson, Tshilidzi Marwala. Emergency Centre Organization and Automated Triage System. 2008, arXiv:0810.3671.

209.    Darren Blend and Tshilidzi Marwala. Comparison of Data Imputation Techniques and their Impact. 2008, arXiv:0812.1539.

210.    D. Moon and T. Marwala. Missing Data using Decision Forest and Computational Intelligence. 2008, arXiv:0812.1615.

 

Theses

211.    T. Marwala. Fault identification using neural networks and vibration data. Doctor of Philosophy Thesis, University of Cambridge, 2001. (Supervisor: Dr. HEM Hunt)

212.    T. Marwala. Multi-criteria method for determining damage on structures. Masters of Engineering Thesis, University of Pretoria, 1997. (Supervisor: Prof. PS Heyns)

 

Selected Articles on the Work of Prof. Marwala

213.    Zeeya Merali. Software learns when it pays to deceive. New Scientist 30 May 2007, p. 32 (E. Hurwitz and T. Marwala)

214.    Duncan McLead. Fixed-line access to grow (T. Marwala and Local Loop Unbundling Committee). 1 June 2007, p. 63.

215.    Max Drayman. Prepare for The Invasion of The Poker Bots. 11 June 2007. Website: http://www1.winneronline.com/articles/june2007/pokerbots.htm