Distributed online doctor surgery

A decision support system for EEG signals based on adaptive fuzzy inference neural networks
Jahankhani, P., Kodogiannis, V., Lygouras, J.N. and Petrounias, I. 2011. A decision support system for EEG signals based on adaptive fuzzy inference neural networks. Journal of Computational Methods in Sciences and Engineering. 11 (4), pp. 209-225. https://doi.org/10.3233/JCM-2011-0387

Classification of stabilometric time-series using an adaptive fuzzy inference neural network system
Lara, J.A., Jahankhani, P., Pérez, A., Valente, J.P. and Kodogiannis, V. 2010. Classification of stabilometric time-series using an adaptive fuzzy inference neural network system. in: Goebel, R., Siekmann, J. and Wahlster, W. (ed.) Artificial Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I Berlin Heidelberg Springer.

Adaptive fuzzy inference neural network system for EEG signal classification
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.

A survey of user authentication based on mouse dynamics
Revett, K., Jahankhani, H., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2008. A survey of user authentication based on mouse dynamics. in: Jahankhani, H., Revett, K. and Palmer-Brown, D. (ed.) Global e-security: 4th International Conference, ICGeS 2008, London, UK, June 23-25, 2008. Proceedings Berlin / Heidelberg Springer.

User dynamics in graphical authentication systems
Revett, K., Jahankhani, H., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2008. User dynamics in graphical authentication systems. in: Jahankhani, H., Revett, K. and Palmer-Brown, D. (ed.) Global e-security: 4th International Conference, ICGeS 2008, London, UK, June 23-25, 2008. Proceedings Berlin / Heidelberg Springer.

A rule based approach to classification of EEG datasets: a comparison between ANFIS and rough sets
Jahankhani, P., Revett, K. and Kodogiannis, V. 2008. A rule based approach to classification of EEG datasets: a comparison between ANFIS and rough sets. in: Reljin, B. and Stankovic, S. (ed.) Proceedings of the Ninth Symposium on Neural Network Applications in Electrical Engineering: NEUREL 2008, September 27-28, 2008, Faculty of Electrical Engineering, University of Belgrade Los Alamitos, USA IEEE . pp. 157-160

Classification using adaptive fuzzy inference neural networks
Jahankhani, P., Kodogiannis, V., Revett, K. and Lygouras, J.N. 2008. Classification using adaptive fuzzy inference neural networks. in: Proceedings of the Twelfth IASTED International Conference on Artificial Intelligence and Soft Computing, September 1-3 2008, Palma de Mallorca, Spain Acta Press. pp. 1-6

Intelligent decision support system for classification of EEG signals using wavelet coefficients
Jahankhani, P. and Kodogiannis, V. 2008. Intelligent decision support system for classification of EEG signals using wavelet coefficients. in: Giannopoulou, E.G. (ed.) Data mining in medical and biological research I-Tech Education and Publishing. pp. 19-38

Data mining an EEG dataset with an emphasis on dimensionality reduction
Jahankhani, P., Revett, K. and Kodogiannis, V. 2007. Data mining an EEG dataset with an emphasis on dimensionality reduction. in: IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 01-05 Apr 2007, Honolulu, Hawaii, USA Los Alamitos, USA IEEE . pp. 405-412

Digital anti forensics: tools and approaches
Jahankhani, H., Anastasios, B. and Revett, K. 2007. Digital anti forensics: tools and approaches. in: Remenyi, D. (ed.) Proceedings of the 6th European Conference on Information Warfare and Security, Defence College of Management and Technology, Shrivenham, UK, 2-3 July 2007 Reading Academic Conferences. pp. 115-120

Attribute selection for EEG signal classification using rough sets and neural networks
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.

EEG signal classification using wavelet feature extraction and neural networks
Jahankhani, P., Kodogiannis, V. and Revett, K. 2006. EEG signal classification using wavelet feature extraction and neural networks. in: JVA '06. IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, 2006. Los Alamitos, USA IEEE . pp. 120-124

An automated anomaly EEG detection algorithm using discrete wavelet transforms
Jahankhani, P., Revett, K., Spackman, L., Kodogiannis, V. and Boyd, S. 2005. An automated anomaly EEG detection algorithm using discrete wavelet transforms. in: Prasad, B. (ed.) Proceedings of the 2nd Indian International Conference on Artificial Intelligence, Pune, India, December 20-22, 2005 (IICAI 05) IICAI. pp. 2679-2685

Detecting clinically relevant EEG anomalies using discrete wavelet transforms
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.

Automatic detection Of EEG abnormalities using wavelet transformations
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.

A review of security threats on smart phones
Jahankhani, P., Ali, M. and Khatun, M. 2005. A review of security threats on smart phones. in: Jahankhani, H., Farmer, M., Mouratidis, H. and Preston, S.D. (ed.) Global E-security: Proceedings of the 1st Annual International Conference (GeS-05) ICGeS. pp. 54-63