2010

Cong, L., Lu, G., Chen, Y., Rashvand, H. F., Deng, B. and Li, X. (2010) Queueing-based TCP congestion estimator. IET Communications, Vol.4 (No.16). pp. 1974-1986. doi:10.1049/iet-com.2010.0034

Li, XuQin, Leeson, Mark S., Hines, Evor, Huang, D. S., Yang, Jianhua and Iliescu, Daciana (2010) Neural networks for solving linear and quadratic programming problems with modified Newton’s and Levenberg-Marquardt methods. In: Baswell, A. R., (ed.) Advances in Mathematics Research. Advances in Mathematics Research, Vol.11 . New York, U.S.A.: Nova Science Publishers, pp. 55-82. ISBN 978-1-60876-970-4

2008

Li, XuQin, Ramirez, Carlos, Hines, Evor, Leeson, Mark S., Purnell, Phil and Pharaoh, Mark W. (2008) Discriminating fiber-reinforced plastic signatures related to specific failure mechanisms: using self-organizing maps and fuzzy C-Means. In: Hines, Evor, 1957- and Leeson, Mark S., 1963- and Martínez-Ramón, Manel and Pardo, Matteo and Llobet, Eduard and Iliescu, Daciana and Yang, Jianhua, (eds.) Intelligent Systems: Techniques and Applications. Maastricht, The Netherlands: Shaker Publishing, pp. 249-286. ISBN 978-90-423-0345-4

Li, XuQin, Ramirez, Carlos, Hines, Evor, Leeson, Mark S., Purnell, Phil and Pharaoh, Mark W. (2008) Pattern recognition of fiber-reinforced plastic failure mechanism using computational intelligence techniques. In: International Joint Conference on Neural Networks, Hong Kong, China, Jun 01-08, 2008. Published in: Proceedings of the 2008 IEEE International Joint Conference on Neural Networks, Vol.1-8 pp. 2340-2345. ISBN 978-1-4244-1820-6. ISSN 1098-7576. doi:10.1109/IJCNN.2008.4634122

Yang, Jianhua, Hines, Evor, Guymer, I, Iliescu, Daciana, Leeson, Mark S., King, G. P. and Li, XuQin (2008) A genetic algorithm-artificial neural network method for the prediction of longitudinal dispersion coefficient in rivers. In: Porto Pazos, Ana B. and Sierra, Alejandro Pazos and Buceta, Washington Buño, (eds.) Advancing Artificial Intelligence through Biological Process Applications. London: Medical Information Science Reference, pp. 358-374. ISBN 9781599049960