All Outputs (221)

Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks (2017)
Conference Proceeding
Radenkovic, M., & Huynh, V. S. H. (2017). Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.

This paper investigates complex challenges of opportunistic discovery of content stored in remote mobile devices and delivery to the requesting nodes in heterogeneous mobile disconnection prone environments. We propose new latency aware collaborative... Read More about Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.

A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming (2017)
Journal Article
Hong, L., Drake, J. H., Woodward, J. R., & Özcan, E. (in press). A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming. Applied Soft Computing, 62, https://doi.org/10.1016/j.asoc.2017.10.002

Evolutionary programming can solve black-box function optimisation problems by evolving a population of numerical vectors. The variation component in the evolutionary process is supplied by a mutation operator, which is typically a Gaussian, Cauchy,... Read More about A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming.

Accessing online data for youth mental health research: meeting the ethical challenges (2017)
Journal Article
Perez Vallejos, E., Koene, A., Carter, C. J., Hunt, D., Woodard, C., Urquhart, L., …Statache, R. (in press). Accessing online data for youth mental health research: meeting the ethical challenges. Philosophy && Technology, https://doi.org/10.1007/s13347-017-0286-y

This article addresses the general ethical issues of accessing online personal data for research purposes. The authors discuss the practical aspects of online research with a specific case study that illustrates the ethical challenges encountered whe... Read More about Accessing online data for youth mental health research: meeting the ethical challenges.

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress (2017)
Journal Article
Lowe, A., Harrison, N., & French, A. P. (2017). Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress. Plant Methods, 13, Article 80. https://doi.org/10.1186/s13007-017-0233-z

This review explores how imaging techniques are being developed with a focus on deployment for crop monitoring methods. Imaging applications are discussed in relation to both field and glasshouse-based plants, and techniques are sectioned into ‘healt... Read More about Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress.

Does decentralized decision making increase company performance through its Information Technology infrastructure investment? (2017)
Journal Article
Mohamad, A., Zainuddin, Y., Alam, N., & Kendall, G. (2017). Does decentralized decision making increase company performance through its Information Technology infrastructure investment?. International Journal of Accounting Information Systems, 27, https://doi.org/10.1016/j.accinf.2017.09.001

A company's Information Technology (IT) infrastructure is a key factor in its sustainability and ongoing success and profitability. This paper explores the relationship between a company's investment in IT and its performance. Performance is measured... Read More about Does decentralized decision making increase company performance through its Information Technology infrastructure investment?.

Spiking Neural P Systems with Communication on Request (2017)
Journal Article
Pan, L., P?un, G., Zhang, G., & Neri, F. (2017). Spiking Neural P Systems with Communication on Request. International Journal of Neural Systems, 27(8), Article 1750042. https://doi.org/10.1142/S0129065717500423

© 2017 World Scientific Publishing Company. Spiking Neural P Systems are Neural System models characterized by the fact that each neuron mimics a biological cell and the communication between neurons is based on spikes. In the Spiking Neural P system... Read More about Spiking Neural P Systems with Communication on Request.

Pruning Rules for Optimal Runway Sequencing (2017)
Journal Article
De Maere, G., Atkin, J. A. D., & Burke, E. K. (2018). Pruning Rules for Optimal Runway Sequencing. Transportation Science, 52(4), 739-1034. https://doi.org/10.1287/trsc.2016.0733

This paper investigates runway sequencing for real world scenarios at one of the world's busiest airports, London Heathrow. Several pruning principles are introduced that enable significant reductions of the problem's average complexity, without comp... Read More about Pruning Rules for Optimal Runway Sequencing.

Linking sensory perceptions and physical properties of orange drinks (2017)
Conference Proceeding
McCulloch, J., Isaev, S., Bachour, K., Jreissat, M., Wagner, C., & Makatsoris, C. (2017). Linking sensory perceptions and physical properties of orange drinks.

This paper investigates if sensory perceptions of orange drinks (e.g., acidity, thickness, wateriness) can be linked to physical measurements (e.g., pH, particle size, density). Using this information, manufactured drinks can be tailored according to... Read More about Linking sensory perceptions and physical properties of orange drinks.

Audio technology and mobile human-computer interaction: from space and place, to social media, music, composition and creation (2017)
Journal Article
Chamberlain, A., Bødker, M., Hazzard, A., McGookin, D., De Roure, D., Willcox, P., & Papangelis, K. (2017). Audio technology and mobile human-computer interaction: from space and place, to social media, music, composition and creation. International Journal of Mobile Human Computer Interaction, 9(4), https://doi.org/10.4018/IJMHCI.2017100103

Audio-based mobile technology is opening up a range of new interactive possibilities. This paper brings some of those possibilities to light by offering a range of perspectives based in this area. It is not only the technical systems that are develop... Read More about Audio technology and mobile human-computer interaction: from space and place, to social media, music, composition and creation.

The Art of Iterating: Update-Strategies in Agent-Based Simulation (2017)
Conference Proceeding
Thaler, J., & Siebers, P. (2017). The Art of Iterating: Update-Strategies in Agent-Based Simulation

When developing a model for an Agent-Based Simulation (ABS) it is very important to select the updatestrategy which reflects the semantics of the model as simulation results can vary vastly across different update-strategies. This awareness, we claim... Read More about The Art of Iterating: Update-Strategies in Agent-Based Simulation.

Antiviral Treatment for Pandemic Influenza: Conceptualisation of a Coupled Behavioural and Epidemic Agent-Based Simulation Model (2017)
Conference Proceeding
Venkatesan, S., Siebers, P., & Nguyen-Van-Tam, J. (2017). Antiviral Treatment for Pandemic Influenza: Conceptualisation of a Coupled Behavioural and Epidemic Agent-Based Simulation Model

Interval Type–2 Defuzzification Using Uncertainty Weights (2017)
Book Chapter
Runkler, T. A., Coupland, S., John, R., & Chen, C. (2018). Interval Type–2 Defuzzification Using Uncertainty Weights. In S. Mostaghim, A. Nürnberger, & C. Borgelt (Eds.), Frontiers in Computational Intelligence (47-59). Cham: Springer Verlag. https://doi.org/10.1007/978-3-319-67789-7_4

© Springer International Publishing AG 2018. One of the most popular interval type–2 defuzzification methods is the Karnik–Mendel (KM) algorithm. Nie and Tan (NT) have proposed an approximation of the KM method that converts the interval type–2 membe... Read More about Interval Type–2 Defuzzification Using Uncertainty Weights.

KEEL 3.0: an open source software for multi-stage analysis in data mining (2017)
Journal Article
Triguero, I., González, S., Moyano, J. M., García, S., Alcalá-Fdez, J., Luengo, J., …Herrera, F. (2017). KEEL 3.0: an open source software for multi-stage analysis in data mining. International Journal of Computational Intelligence Systems, 10(1), https://doi.org/10.2991/ijcis.10.1.82

This paper introduces the 3rd major release of the KEEL Software. KEEL is an open source Java framework (GPLv3 license) that provides a number of modules to perform a wide variety of data mining tasks. It includes tools to performdata management, des... Read More about KEEL 3.0: an open source software for multi-stage analysis in data mining.

A Novel Modal Shift Modelling Framework for Transport Systems (2017)
Presentation / Conference
Faboya, O. T., Siebers, P., Ryan, B., & Figueredo, G. P. (2017, September). A Novel Modal Shift Modelling Framework for Transport Systems. Paper presented at Social Simulation Conference 2017 (SSC2017)

The challenges from transport modes on human environments, health and economy, have called for investigations into how behavioural changes can be achieved for better resource utilisation. Trip makers' travel demands have been identified, and they inc... Read More about A Novel Modal Shift Modelling Framework for Transport Systems.

Compiling a 50-year journey (2017)
Journal Article
Hutton, G., & Bahr, P. (2017). Compiling a 50-year journey. Journal of Functional Programming, 27, Article e20

Fifty years ago, John McCarthy and James Painter (1967) published the first paper on compiler verification, in which they showed how to formally prove the correctness of a compiler that translates arithmetic expressions into code for a register-based... Read More about Compiling a 50-year journey.

Co-regularised support vector regression (2017)
Conference Proceeding
Ullrich, K., Kamp, M., Gärtner, T., Vogt, M., & Wrobel, S. (2017). Co-regularised support vector regression.

We consider a semi-supervised learning scenario for regression, where only few labelled examples, many unlabelled instances and different data representations (multiple views) are available. For this setting, we extend support vector regression with... Read More about Co-regularised support vector regression.

Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows (2017)
Conference Proceeding
Chen, B., Qu, R., & Ishibuchi, H. (2017). Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows.

The Open Periodic Vehicle Routing Problem with Time Windows (OPVRPTW) is a practical transportation routing and scheduling problem arising from real-world scenarios. It shares some common features with some classic VRP variants. The problem has a tig... Read More about Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows.

Positive mood on the day of influenza vaccination predicts vaccine effectiveness: A prospective observational cohort study (2017)
Journal Article
Ayling, K., Fairclough, L., Tighe, P., Todd, I., Halliday, V., Garibaldi, J., …Vedhara, K. (2018). Positive mood on the day of influenza vaccination predicts vaccine effectiveness: A prospective observational cohort study. Brain, Behavior, and Immunity, 67, 314-323. https://doi.org/10.1016/j.bbi.2017.09.008

© 2017 Influenza vaccination is estimated to only be effective in 17–53% of older adults. Multiple patient behaviors and psychological factors have been shown to act as ‘immune modulators’ sufficient to influence vaccination outcomes. However, the re... Read More about Positive mood on the day of influenza vaccination predicts vaccine effectiveness: A prospective observational cohort study.

Approximate dynamic programming with combined policy functions for solving multi-stage nurse rostering problem (2017)
Conference Proceeding
Shi, P., & Landa-Silva, D. (2017). Approximate dynamic programming with combined policy functions for solving multi-stage nurse rostering problem.

An approximate dynamic programming that incorporates a combined policy, value function approximation and lookahead policy, is proposed. The algorithm is validated by applying it to solve a set of instances of the nurse rostering problem tackled as a... Read More about Approximate dynamic programming with combined policy functions for solving multi-stage nurse rostering problem.

Vehicle incident hot spots identification: An approach for big data (2017)
Conference Proceeding
Triguero, I., Figueredo, G. P., Mesgarpour, M., Garibaldi, J. M., & John, R. (2017). Vehicle incident hot spots identification: An approach for big data. In Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications; 11th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE); and 14th IEEE International Conference on Embedded Software and Systems, (901-908). https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.329

In this work we introduce a fast big data approach for road incident hot spot identification using Apache Spark. We implement an existing immuno-inspired mechanism, namely SeleSup, as a series of MapReduce-like operations. SeleSup is composed of a nu... Read More about Vehicle incident hot spots identification: An approach for big data.