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All Outputs (49)

Evolutionary sound matching: A test methodology and comparative study (2007)
Presentation / Conference
Mitchell, T. J. (2007, December). Evolutionary sound matching: A test methodology and comparative study. Paper presented at Proceedings of the Sixth International Conference on Machine Learning and Applications, Cincinnati, OH, USA

With the ever-increasing complexity of sound synthesisers, there is a growing demand for automated parameter estimation and sound space navigation techniques. Recent research in this domain has focused on the application of general-purpose evolutiona... Read More about Evolutionary sound matching: A test methodology and comparative study.

Discovery in design: People-centred computational issues (2007)
Book Chapter
Parmee, I., Hall, E., Miles, J., Noyes, J., Simons, C., & Smith, D. (2007). Discovery in design: People-centred computational issues. In T. Inns (Ed.), Designing for the 21st Century: Interdisciplinary Questions and Insights (232 - 245). Ashgate Publishing

The Designing for the 21st Century Initiative is a joint EPSRC/AHRC multi-disciplinary collaborative investigation supporting a variety of clusters of design research. The Discovery in Design: People-centred Computational Issues cluster is significan... Read More about Discovery in design: People-centred computational issues.

The requirements for ontologies in medical data integration: A case study (2007)
Journal Article
Hauer, T., Anjum, A., Bloodsworth, P., Branson, A., McClatchey, R., Munir, K., …Shamdasani, J. (2007). The requirements for ontologies in medical data integration: A case study. https://doi.org/10.1109/IDEAS.2007.4318120

Evidence-based medicine is critically dependent on three sources of information: a medical knowledge base, the patient's medical record and knowledge of available resources, including where appropriate, clinical protocols. Patient data is often scatt... Read More about The requirements for ontologies in medical data integration: A case study.

Cells and Sanctuaries (2007)
Other
Davies, M. (2007). Cells and Sanctuaries. [Score]

My starting point for Cells and Sanctuaries was that very common of things that we all experience – trying to remember a song, or just a melody, usually associated with a significant memory, and, all too frustratingly, not being able to get it quite... Read More about Cells and Sanctuaries.

UMTS base station location planning: A mathematical model and heuristic optimisation algorithms (2007)
Journal Article
Yang, J., Aydin, M. E., Zhang, J., & Maple, C. (2007). UMTS base station location planning: A mathematical model and heuristic optimisation algorithms. IET Communications, 1(5), 1007-1014. https://doi.org/10.1049/iet-com%3A20060495

Radio networks of universal mobile telecommunication system (UMTS) need accurate planning and optimisation, and many factors not seen in second generation (2G) networks must be considered. However, planning and optimisation of UMTS radio networks are... Read More about UMTS base station location planning: A mathematical model and heuristic optimisation algorithms.

A method for finding implicating rules based on the genetic algorithm (2007)
Conference Proceeding
Jun, Z., Shu-you, L., Hong-yan, M., & Liu, H. X. (2007). A method for finding implicating rules based on the genetic algorithm. In Third International Conference on Natural Computation (ICNC 2007) (400-405). https://doi.org/10.1109/ICNC.2007.61

In information system, some rules have implicating relations (called implicating rules), but some rules have not. An approach of finding implicating rules based on the genetic algorithm is proposed. Some properties of independence and correlation of... Read More about A method for finding implicating rules based on the genetic algorithm.

MammoGrid - a prototype distributed mammographic database for Europe (2007)
Journal Article
Amendolia, S. R., Bazzocchi, M., Estrella, F., Cordell, M., Solomonides, A. E., Warren, R., …Highnam, R. (2007). MammoGrid - a prototype distributed mammographic database for Europe. Clinical Radiology, 62(11), 1044-1051. https://doi.org/10.1016/j.crad.2006.09.032

This paper describes the prototype for a Europe-wide distributed database of mammograms entitled MammoGrid, which was developed as part of an EU-funded project. The MammoGrid database appears to the user to be a single database, but the mammograms th... Read More about MammoGrid - a prototype distributed mammographic database for Europe.

A photometric stereo approach to face recognition (2007)
Thesis
Woodman, R. A photometric stereo approach to face recognition. (Dissertation). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/1024266

Face recognition has received much interest in the last decade, as the need for reliable personal identification security has become ever more critical. At present for face recognition to be a viable personal identification method an accurate low cos... Read More about A photometric stereo approach to face recognition.

Anticipation mappings for learning classifier systems (2007)
Presentation / Conference
Bull, L., O'Hara, T., & Lanzi, P. L. (2007, September). Anticipation mappings for learning classifier systems. Paper presented at Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, Singapore

On detecting packets droppers in MANET: A novel low cost approach (2007)
Conference Proceeding
Fahad, T., Djenouri, D., & Askwith, R. (2007). On detecting packets droppers in MANET: A novel low cost approach. https://doi.org/10.1109/ias.2007.47

One of the commonest threats that mobile ad hoc networks are vulnerable to is data packet dropping, which is caused either by malicious or selfish nodes. Most of the existing solutions to solve such misbehaviour rely on the watchdog technique, which... Read More about On detecting packets droppers in MANET: A novel low cost approach.

Metaheuristic agent teams for job shop scheduling problems (2007)
Journal Article
Aydin, M. E. (2007). Metaheuristic agent teams for job shop scheduling problems. Lecture Notes in Artificial Intelligence, 4659, 185-194. https://doi.org/10.1007/978-3-540-74481-8_18

This paper addresses and introduces an overview on various multi-agent architectures applied to teams of metaheuristic agents for job shop scheduling applications, whose developed and examined on distributed problem solving environments. We reported... Read More about Metaheuristic agent teams for job shop scheduling problems.

Development of omni-directional correlation functions for nonlinear model validation (2007)
Journal Article
Zhu, Q. M., Feng Zhang, L., & Longden, A. (2007). Development of omni-directional correlation functions for nonlinear model validation. Automatica, 43(9), 1519-1531. https://doi.org/10.1016/j.automatica.2007.02.010

In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation functions, defined as omni-directional correlation functions, are integrat... Read More about Development of omni-directional correlation functions for nonlinear model validation.

Toward a better understanding of rule initialisation and deletion (2007)
Conference Proceeding
Kovacs, T., & Bull, L. (2007). Toward a better understanding of rule initialisation and deletion. In H. Lipson (Ed.), Proceedings of the 2007 GECCO Conference on Genetic and Evolutionary Computation (2777-2780). https://doi.org/10.1145/1274000.1274060

A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and to select rules for deletion. Some have not been studied in the literature... Read More about Toward a better understanding of rule initialisation and deletion.

A new low cost sessions-based misbehaviour detection protocol (SMDP) for MANET (2007)
Conference Proceeding
Fahad, T., Djenouri, D., Askwith, R., & Merabti, M. (2007). A new low cost sessions-based misbehaviour detection protocol (SMDP) for MANET. https://doi.org/10.1109/ainaw.2007.34

There is a strong motivation for a node to deny packet forwarding to others and being selfish in MANET. Recently, some solutions have been proposed, but almost all of these solutions rely on the watchdog technique, which suffers from many drawbacks,... Read More about A new low cost sessions-based misbehaviour detection protocol (SMDP) for MANET.

On securing MANET routing protocol against control packet dropping (2007)
Conference Proceeding
Djenouri, D., Mahmoudi, O., Bouamama, M., Llewellyn-Jones, D., & Merabti, M. (2007). On securing MANET routing protocol against control packet dropping. https://doi.org/10.1109/perser.2007.4283899

In this manuscript we deal with securing routing protocols of mobile ad hoc networks (MANETs) against packet dropping misbehavior. More specifically, we propose a solution to protect control packets of reactive source routing protocols against. Most... Read More about On securing MANET routing protocol against control packet dropping.

Experiences of engineering Grid-based medical software (2007)
Journal Article
Estrella, F., Hauer, T., McClatchey, R., Odeh, M., Rogulin, D., & Solomonides, T. (2007). Experiences of engineering Grid-based medical software. International Journal of Medical Informatics, 76(8), 621-632. https://doi.org/10.1016/j.ijmedinf.2006.05.005

Objectives: Grid-based technologies are emerging as potential solutions for managing and collaborating distributed resources in the biomedical domain. Few examples exist, however, of successful implementations of Grid-enabled medical systems and even... Read More about Experiences of engineering Grid-based medical software.

Learning classifier system ensembles with rule-sharing (2007)
Journal Article
Bull, L., Studley, M., Bagnall, A., & Whittley, I. (2007). Learning classifier system ensembles with rule-sharing. IEEE Transactions on Evolutionary Computation, 11(4), 496-502. https://doi.org/10.1109/TEVC.2006.885163

This paper presents an investigation into exploiting the population-based nature of learning classifier systems (LCSs) for their use within highly parallel systems. In particular, the use of simple payoff and accuracy-based LCSs within the ensemble m... Read More about Learning classifier system ensembles with rule-sharing.