Source: https://westminsterresearch.westminster.ac.uk/item/90v9v/predictive-modeling-in-food-mycology-using-adaptive-neuro-fuzzy-systems
Timestamp: 2019-04-23 09:52:13+00:00

Document:
Amina, M., Kodogiannis, V. and Tarczynski, A.
Fungal growth leads to spoilage of food and animal feeds and to formation of mycotoxins and potentially allergenic spores. There is a growing interest in predictive modeling microbial growth as an alternative to time consuming traditional, microbiological enumeration techniques. Several statistical models have been accounted to describe the growth of different micro-organisms. However neural networks, as highly nonlinear approximator scheme, have the potential of modeling some complex, phenomena better than the others. The application of adaptive neuro-fuzzy systems in predictive microbiology is presented in this paper. This technique is used to build up a model of the joint effect of water-activity, pH level and temperature to predict the maximum specific growth rate of the Ascomycetous Fungus Monascus Ruber. The proposed scheme is compared against standard neural network approaches. Neuro-fuzzy systems offer an alternative and powerful technique to model microbial kinetic parameters and could thus become an efficient tool in predictive mycology.
Kodogiannis, V. and Petrounias, I. 2013. Modeling of survival curves in food microbiology using fuzzy wavelet neural networks. in: Rojas, I., Joya, G. and Cabestany, J. (ed.) Advances in computational intelligence Berlin Heidelberg Springer.
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Jahankhani, P., Kodogiannis, V. and Lygouras, J.N. 2010. Adaptive fuzzy inference neural network system for EEG signal classification. in: Jain, L.C. and Lim, C.P. (ed.) Handbook on decision making, volume 1: techniques and applications Springer.
Petrounias, I., Anwar, F., Kodogiannis, V., Tasseva, V. and Peneva, D. 2008. Efficient periodicity mining of sequential patterns in a post-mining environment. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .
Peneva, D., Tasseva, V., Popov, E., Petrounias, I., Kodogiannis, V., Anwar, F. and Shannon, A. 2008. Accumulation, storage and obtainment of generalized net tokens characteristics history. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .
Kodogiannis, V. and Lygouras, J.N. 2008. Neuro-fuzzy classification system for wireless-capsule endoscopic images. International Journal of Electrical, Computer, and Systems Engineering. 2 (1), pp. 55-63.
Kodogiannis, V. 2007. Decision Support Systems in Wireless-Capsule Endoscopy: Revisited. International Journal of Intelligent Decision Technologies. 1 (1,2), pp. 17-32.
Kodogiannis, V. and Boulougoura, M. 2007. An adaptive neurofuzzy approach for the diagnosis in wireless capsule endoscopy imaging. International Journal of Information Technology. 13 (1), pp. 46-56.
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Tarczynski, A. and Qu, D. 2006. Quality assessment of reconstructing signals from arbitrarily distributed samples. in: Proceedings of the 10th International Conference on Systems WSEAS.
Revett, K., Szczuka, M., Jahankhani, P. and Kodogiannis, V. 2006. Attribute selection for EEG signal classification using rough sets and neural networks. in: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S. and Slowinski, R. (ed.) Rough sets and current trends in computing: 5th international conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006: proceedings Berlin, Germany Springer.
Qu, D. and Tarczynski, A. 2006. Weighted PNS sequences for digital alias-free processing signals. in: Proceedings of the 10th International Conference on Systems WSEAS.
Qu, D. and Tarczynski, A. 2006. Analysis and design of WPNS sequences for digital alias-free signal processing. WSEAS Transactions on Signal Processing. 2 (7), pp. 933-940.
Tarczynski, A. and Qu, D. 2005. Optimal random sampling for spectrum estimation in DASP applications. International Journal of Applied Mathematics and Computer Science. 15 (4), pp. 463-469.
Tarczynski, A. and Qu, D. 2005. Optimal periodic sampling sequences for nearly-alias-free digital signal processing. in: IEEE International Symposium on Circuits and Systems, ISCAS 2005 IEEE .
Petrounias, I., Tseng, A. and Kodogiannis, V. 2005. User controlled filtering in WEB usage mining. Journal of Computational Methods in Sciences and Engineering. 5 (3), pp. 165-177.
Petrounias, I., Tseng, A., Chountas, P., El-Darzi, E. and Kodogiannis, V. 2005. Intuitionistic fuzzy generalised nets in modelling web usage patterns indentification. Notes on Intuitionistic Fuzzy Sets. 11 (4), pp. 123-129.
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Kodogiannis, V., Wadge, E., Boulougoura, M. and Christou, K. 2005. Detecting abnormalities in capsule endoscopic images by textural description and neural networks. in: Bozanis, P. and Houstis, E.N. (ed.) Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI 2005, Volas, Greece, November 11-13, 2005. Proceedings Berlin, Germany Springer.
Kodogiannis, V. and Wadge, E. 2005. Classification of capsule endoscopic images based on texture and neuro-fuzzy systems. in: Proccedings of EMBEC'05: 3rd European Medical & Biological Engineering Conference, IFMBE European Conference on Biomedical Engineering IFMBE.
Kodogiannis, V. and Chowdrey, H.S. 2005. A neurofuzzy methodology for the diagnosis of wireless-capsule endoscopic images. in: Duch, W., Kacprzyk, J., Oja, E. and Zadrozny, S. (ed.) Artificial Neural Networks: Biological Inspirations ICANN 2005: 15th International Conference Warsaw, Poland, September 11-15, 2005 Proceedings, Part I Berlin, Germany Springer.
Kodogiannis, V., Boulougoura, M. and Wadge, E. 2005. Intelligent systems for the diagnosis of wireless-capsule endoscopic images. in: Proceedings of the 5th WSEAS International Conference on Simulation, Modelling and Optimization (SMO '05), Corfu Island, Greece, August 17-19, 2005 WSEAS.
Kodogiannis, V., Boulougoura, M. and Wadge, E. 2005. Improved neural network-based interpretation of capsule endoscopic images. WSEAS Transactions on Systems. 4 (9), pp. 1499-1507.
Kodogiannis, V. and Boulougoura, M. 2005. Neural network-based approach for the classification of wireless-capsule endoscopic images. in: 2005 IEEE International Joint Conference on Neural Networks (IJCNN) USA IEEE .
Kodogiannis, V. 2005. Intelligent gas-sensing systems for bacterial clinical isolates in vitro classification. Neural, Parallel and Scientific Computations. 13 (2), pp. 147-160.
Kodogiannis, V. 2005. Intelligent classification of bacterial clinical isolates in vitro, using an array of gas sensors. Journal of Intelligent and Fuzzy Systems. 16 (1), pp. 1-14.
Jahankhani, P., Revett, K. and Kodogiannis, V. 2005. Detecting clinically relevant EEG anomalies using discrete wavelet transforms. in: Proceedings of the 5th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS 2005). Sofia, Bulgaria, 27 - 29 Oct 2005 WSEAS.
Jahankhani, P., Revett, K. and Kodogiannis, V. 2005. Automatic detection Of EEG abnormalities using wavelet transformations. WSEAS Transactions on Signal Processing. 1 (1), pp. 55-60.
Chountas, P., Petrounias, I., El-Darzi, E. and Kodogiannis, V. 2005. Representation of factual and temporal unawareness in electronic patient records. Journal of Computational Methods in Sciences and Engineering. 5 (4), pp. 243-261.
Chountas, P., Kodogiannis, V., Petrounias, I., Kolev, B. and Atanassov, K.T. 2005. On probability, null values, intuitionistic fuzzy, and value imperfection. in: Simos, T.E. and Maroulis, G. (ed.) International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE 2004) Leiden, The Netherlands VSP.
Arena, A., Boulougoura, M., Chowdrey, H.S., Dario, P., Harendt, C., Irion, K.M., Kodogiannis, V., Lenaerts, B., Menciassi, A., Puers, R., Scherjon, C. and Turgis, D. 2005. Intracorporeal videoprobe (IVP). in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and Care Compunetics Amsterdam, Netherlands ; Oxford, UK IOS Press.
Tomtsis, D., Kodogiannis, V. and Chountas, P. 2004. Distimulus chromatic measurement systems. WSEAS Transactions on Circuits and Systems. 2 (3), pp. 211-214.
Tarczynski, A., Skorkowski, G., Bushchenko, Y. and Igbiedion, I. 2004. Classification of telephone signals with use of artificial neural networks. in: SCI 2004 Proceedings [CD-ROM] Orlando, Florida International Institute of Informatics and Systemics.
Petrounias, I., Tseng, A., Kolev, B., Chountas, P. and Kodogiannis, V. 2004. An intuitionistic fuzzy component based appoach for identifying web usage patterns. in: Yager, R.R. and Sgurev, V.S. (ed.) 2nd IEEE International Conference on Intelligent Systems, 22-24 Jun 2004, Varna, Bulgaria: proceedings USA IEEE .
Kodogiannis, V., Wadge, E., Boulougoura, M. and Christou, K. 2004. Feature extraction techniques using adaptive wavelets for signal classification. WSEAS Transactions on Circuits. 3 (1), pp. 149-154.
Kodogiannis, V. and Petrounias, I. 2004. Intelligent control of unmanned underwater vehicles. WSEAS Transactions on Systems. 3 (4), pp. 1845-1853.
Kodogiannis, V. 2004. Computer-aided diagnosis in clinical endoscopy using neuro-fuzzy systems. in: Proceedings: 2004 IEEE International Conference on Fuzzy Systems. Budapest, Hungary, 25-29 July 2004 USA IEEE .
Chountas, P., Petrounias, I., Vasilakis, C., Tseng, A., El-Darzi, E., Atanassov, K.T. and Kodogiannis, V. 2004. On uncertainty and data-warehouse design. in: Yakhno, T. (ed.) Advances in Information Systems: Third International Conference, ADVIS 2004, Izmir, Turkey, October 20-22, 2004: proceedings Berlin, Germany Springer.
Chountas, P., Petrounias, I., Vasilakis, C., El-Darzi, E., Tseng, A., Kolev, B., Kodogiannis, V. and Georgiev, P. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes in Intuitionistic Fuzzy Sets. 10 (4), pp. 47-55.
Boulougoura, M., Wadge, E., Kodogiannis, V. and Chowdrey, H.S. 2004. Intelligent systems for computer-assisted clinical endoscopic image analysis. in: Tilg, B. (ed.) Proceedings of the second IASTED international conference on biomedical engineering Anaheim, California, USA Acta Press.
Tarczynski, A. and Allay, N. 2003. Digital alias-free spectrum estimation of randomly sampled signals. in: 7th World Multiconference on Systemics, Cybernetics and Informatics (SCIM-'03), Orlando, Florida, USA, 27-30 July 2003 International Institute of Informatics and Systemics.
Kodogiannis, V., Pavlou, A.K., Chountas, P. and Turner, A.P.F. 2003. Evolutionary computing techniques for diagnosis of urinary tract infections in vivo, using gas sensors. in: Rutkowski, L. (ed.) Neural networks and soft computing: proceedings of the Sixth International Conference on Neural Networks and Soft Computing, Zakopane, Poland, June 11-15 Physica-Verlag.
Tarczynski, A. 2002. Spectrum estimation of nonuniformly sampled signals. in: 14th International Conference on Digital Signal Processing, DSP 2002, Santorini, Greece, 1-3 July 2002 USA IEEE .
Tarczynski, A. 2002. Problem dimensionality reduction in design of optimal IIR filters. in: IEEE International Symposium on Circuits and Systems, ISCAS 2002 USA IEEE .
Kodogiannis, V. and Tomtsis, D. 2002. An intelligent detection scheme for sonar signal tracking. in: Proceedings of the 3rd WSEAS International Conference on Neural Network and Applications (NNA '02), Interlaken, Switzerland, February 11-15, 2002 WSEAS.
Kodogiannis, V., Chountas, P., Pavlou, A.K., Petrounias, I., Chowdrey, H.S. and Temponi, C. 2002. Electronic nose: clinical diagnosis based on soft computing methodologies. in: Proceedings of the IEEE International Symposium Intelligent Systems: Methodology, Models, Applications in Emerging Technologies IS2002, 10-12 Sept.2002, Varna, Bulgaria USA IEEE .
Chountas, P., Petrounias, I., Atanassov, K.T., Kodogiannis, V. and El-Darzi, E. 2002. Representation of temporal unawareness. in: Yakhno, T. (ed.) Advances in Information Systems: Second International Conference, ADVIS 2002, Izmir, Turkey, October 23-25 London, UK Springer.
Chountas, P., Petrounias, I., Atanassov, K.T., Kodogiannis, V. and El-Darzi, E. 2002. Representation and querying of temporal conflict. in: Troels, A. (ed.) Flexible query answering systems: 5th International Conference, FQAS 2002, Copenhagen, Denmark, October 2002 London, UK Springer.
Chountas, P., Petrounias, I., Al-Roki, H. and Kodogiannis, V. 2002. Representing and querying temporal workflow schemas. Notes in Intuitionistic Fuzzy Sets. 8 (3), pp. 57-65.
Kodogiannis, V. and Lolis, A. 2001. A comparison between neural network and fuzzy system models for foreign exchange rates prediction. Neural, Parallel and Scientific Computations. 9 (3-4), pp. 417-428.
Tomtsis, D., Kodogiannis, V. and Zissopoulos, D. 2001. In vitro determination of skin bilirubin using chromatic modulation. in: Building new bridges at the frontiers of engineering and medicine: 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 25-28 October 2001, Istanbul, Turkey USA IEEE .
Tarczynski, A. 2001. FIR filters for systems with input clock jitter. in: 2001 IEEE International Symposium on Circuits and Systems, (ISCAS 2001) USA IEEE .
Kodogiannis, V. and Tomtsis, D. 2001. Neural network adaptive controller for unmanned underwater vehicles. Neural Network World. 11 (3), pp. 207-221.
Kodogiannis, V. and Lolis, A. 2001. A comparison between neural network and fuzzy system models for foreign exchange rates prediction. Neural, Parallel and Scientific Computations. 9 (3/4), pp. 417-428.
Kodogiannis, V. 2001. An efficient fuzzy based technique for signal classification. Journal of Intelligent and Fuzzy Systems. 11 (1/2), pp. 65-84.
Kodogiannis, V. 2000. Comparison of advanced learning algorithms for short-term load forecasting. Journal of Intelligent & Fuzzy Systems. 8 (4), pp. 243-259.
Kodogiannis, V. 1999. Neural-network-based electric load forecasting systems. Neural, Parallel and Scientific Computations. 7 (3), pp. 405-416.
Kodogiannis, V., Lisboa, P.J.G. and Lucas, J. 1993. A neural predictive controller for underwater robotic applications. Proceedings of the 2nd IEEE/BCS Workshop on Neural Network Applications and Tools. Liverpool IEEE .

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