Outputs (191)

Tariff agent: interacting with a future smart energy system at home (2016)
Journal Article
Alan, A. T., Costanza, E., Ramchurn, S. D., Fischer, J. E., Rodden, T., & Jennings, N. R. (2016). Tariff agent: interacting with a future smart energy system at home. ACM Transactions on Computer-Human Interaction, 23(4), https://doi.org/10.1145/2943770

Smart systems are becoming increasingly ubiquitous and consequently transforming our lives. The level of system autonomy plays a vital role in the development of smart systems as it profoundly affects how people and these systems interact with each o... Read More about Tariff agent: interacting with a future smart energy system at home.

Verifying existence of resource-bounded coalition uniform strategies (2016)
Presentation / Conference Contribution
Alechina, N., Dastani, M., & Logan, B. (2016). Verifying existence of resource-bounded coalition uniform strategies.

We consider the problem of whether a coalition of agents has a knowledge-based strategy to ensure some outcome under a resource bound. We extend previous work on verification of multi-agent systems where actions of agents produce and consume resource... Read More about Verifying existence of resource-bounded coalition uniform strategies.

A comparative study of fuzzy parameter control in a general purpose local search metaheuristic (2016)
Presentation / Conference Contribution
Jackson, W. G., Özcan, E., & John, R. I. (2016). A comparative study of fuzzy parameter control in a general purpose local search metaheuristic. . https://doi.org/10.1109/CEC.2016.7743787

There is a growing number of studies on general purpose metaheuristics that are directly applicable to multiple domains. Parameter setting is a particular issue considering that many of such search methods come with a set of... Read More about A comparative study of fuzzy parameter control in a general purpose local search metaheuristic.

An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models (2016)
Presentation / Conference Contribution
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. (2016). An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models.

In this paper, an extended ANFIS architecture is proposed. By incorporating an extra layer for the fuzzification process, the extended architecture is able to fit both type-1 and interval type-2 models. The learning properties of the proposed archite... Read More about An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models.

Approaches to three-dimensional reconstruction of plant shoot topology and geometry (2016)
Journal Article
Gibbs, J., Pound, M. P., French, A. P., Wells, D. M., Murchie, E. H., & Pridmore, T. P. (2016). Approaches to three-dimensional reconstruction of plant shoot topology and geometry. Functional Plant Biology, 44(1), 62-75. https://doi.org/10.1071/FP16167

There are currently 805 million people classified as chronically undernourished, and yet the World’s population is still increasing. At the same time, global warming is causing more frequent and severe flooding and drought, thus destroying crops and... Read More about Approaches to three-dimensional reconstruction of plant shoot topology and geometry.

A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images (2016)
Journal Article
Al-Fahdawi, S., Qahwaji, R., Al-Waisy, A. S., Ipson, S., Malik, R. A., Brahma, A., & Chen, X. (2016). A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images. Computer Methods and Programs in Biomedicine, 135, https://doi.org/10.1016/j.cmpb.2016.07.032

Diabetic Peripheral Neuropathy (DPN) is one of the most common types of diabetes that can affect the cornea. An accurate analysis of the nerve structures can assist the early diagnosis of this disease. This paper proposes a robust, fast and fully aut... Read More about A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images.

A Genetic Algorithm for a Workforce Scheduling and Routing Problem (2016)
Presentation / Conference Contribution
Algethami, H., Pinheiro, R. L., & Landa-Silva, D. (2016). A Genetic Algorithm for a Workforce Scheduling and Routing Problem.

The Workforce Scheduling and Routing Problem refers to the assignment of personnel to visits across various geographical locations. Solving this problem demands tackling scheduling and routing constraints while aiming to minimise the total operationa... Read More about A Genetic Algorithm for a Workforce Scheduling and Routing Problem.

Evolutionary undersampling for extremely imbalanced big data classification under apache spark (2016)
Presentation / Conference Contribution
Triguero, I., Galar, M., Merino, D., Maillo, J., Bustince, H., & Herrera, F. (2016). Evolutionary undersampling for extremely imbalanced big data classification under apache spark.

The classification of datasets with a skewed class distribution is an important problem in data mining. Evolutionary undersampling of the majority class has proved to be a successful approach to tackle this issue. Such a challenging task may become e... Read More about Evolutionary undersampling for extremely imbalanced big data classification under apache spark.

An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS (2016)
Presentation / Conference Contribution
Madi, E., Garibaldi, J. M., & Wagner, C. (2016). An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS.

Decision making is an important process for organizations. Common practice involves evaluation of prioritized alternatives based on a given set of criteria. These criteria conflict with each other and commonly no solution can satisfy all criteria sim... Read More about An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS.

Contrasting singleton type-1 and interval type-2 non-singleton type-1 fuzzy logic systems (2016)
Presentation / Conference Contribution
Aladi, J. H., Wagner, C., & Pourabdollah, A. (2016). Contrasting singleton type-1 and interval type-2 non-singleton type-1 fuzzy logic systems.

Most applications of both type-1 and type-2 fuzzy logic systems are employing singleton fuzzification due to its simplicity and reduction in its computational speed. However, using singleton fuzzification assumes that the input data (i.e., measuremen... Read More about Contrasting singleton type-1 and interval type-2 non-singleton type-1 fuzzy logic systems.