All Outputs (378)

Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral–spatial classification of hyperspectral images. (2018)
Journal Article
CAO, F., YANG, Z., REN, J., LING, W.-K., ZHAO, H., SUN, M. and BENEDIKTSSON, J.A. 2018. Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral–spatial classification of hyperspectral images. IEEE transactions on geoscience and remote sensing [online], 56(11), pages 6263-6279. Available from: https://doi.org/10.1109/tgrs.2018.2828601

Although extreme learning machine (ELM) has successfully been applied to a number of pattern recognition problems, only with the original ELM it can hardly yield high accuracy for the classification of hyperspectral images (HSIs) due to two main draw... Read More about Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral–spatial classification of hyperspectral images..

W3C accessibility guidelines for mobile games. (2018)
Journal Article
WILSON, A. and CRABB, M. 2018. W3C accessibility guidelines for mobile games. Computer games journal [online], 7(2), pages 49-61. Available from: https://doi.org/10.1007/s40869-018-0058-7

In the past decade, video games have become one of the fastest growing forms or entertainment around the world. In particular, mobile gaming has continued to evolve, becoming increasingly popular for billions of people worldwide. An ongoing issue wit... Read More about W3C accessibility guidelines for mobile games..

Meeple centred design: a heuristic toolkit for evaluating the accessibility of tabletop games. (2018)
Journal Article
HERON, M.J., BELFORD, P.H., REID, H. and CRABB, M. 2018. Meeple centred design: a heuristic toolkit for evaluating the accessibility of tabletop games. Computer games journal [online], 7(2), pages 97-114. Available from: https://doi.org/10.1007/s40869-018-0057-8

Evaluation of accessibility within a tabletop context is much more complicated than it is within a video game environment. There is a considerable amount of variation in game systems, game mechanisms, and interaction regimes. Games may be entirely ve... Read More about Meeple centred design: a heuristic toolkit for evaluating the accessibility of tabletop games..

Eighteen months of Meeple Like Us: an exploration into the state of board game accessibility. (2018)
Journal Article
HERON, M.J., BELFORD, P.H., REID, H. and CRABB, M. 2018. Eighteen months of Meeple Like Us: an exploration into the state of board game accessibility. Computer games journal [online], 7(2), pages 75-95. Available from: https://doi.org/10.1007/s40869-018-0056-9

The study of game accessibility to date has largely focused on the topic of accessibility within a video game context. Largely underexplored in the academic and professional literature is accessibility in the domain of tabletop games, especially thos... Read More about Eighteen months of Meeple Like Us: an exploration into the state of board game accessibility..

Aggregation of classifiers: a justifiable information granularity approach. (2018)
Journal Article
NGUYEN, T.T., PHAM, X.C., LIEW, A.W.-C. and PEDRYCZ, W. 2019. Aggregation of classifiers: a justifiable information granularity approach. IEEE transactions on cybernetics [online], 49(6), pages 2168-2177. Available from: https://doi.org/10.1109/TCYB.2018.2821679

In this paper, we introduced a new approach of combining multiple classifiers in a heterogeneous ensemble system. Instead of using numerical membership values when combining, we constructed interval membership values for each class prediction from th... Read More about Aggregation of classifiers: a justifiable information granularity approach..

Medical students opinions on the inclusion of non-traditional skills in the curriculum. (2018)
Journal Article
BRADY, C. and ZARB, M. 2018. Medical students opinions on the inclusion of non-traditional skills in the curriculum. Journal of entrepreneurship education [online], 21(2), article number 152. Available from: https://www.abacademies.org/articles/medical-students-opinions-on-the-inclusion-of-nontraditional-skills-in-the-curriculum-7099.html

Background: Up to 50% of foundation year 2 doctors do not proceed directly into speciality training. This change in direction of our profession places increasing demands on an already stretched NHS. In the UK, medical school teaching is understandabl... Read More about Medical students opinions on the inclusion of non-traditional skills in the curriculum..

A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation. (2018)
Journal Article
OCHEI, L.C. and EJIOFOR, C.I. 2018. A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation. Advances in science, technology and engineering systems journal [online], 3(2), pages 174-183. Available from: https://doi.org/10.25046/aj030220

Tenants associated with a cloud-hosted application seek to reduce running costs and minimize resource consumption by sharing components and resources. However, despite the benefits, sharing resources can affect tenant’s access and overall performance... Read More about A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation..

Multi-objective optimal design of obstacle-avoiding two-dimensional Steiner trees with application to ascent assembly engineering. (2018)
Journal Article
ZAVOIANU, A.-C., SAMINGER-PLATZ, S., ENTNER, D., PRANTE, T., HELLWIG, M., SCHWARZ, M. and FINK, K. 2018. Multi-objective optimal design of obstacle-avoiding two-dimensional Steiner trees with application to ascent assembly engineering. Journal of mechanical design [online], 140(6), article number 061401. Available from: https://doi.org/10.1115/1.4039009

We present an effective optimization strategy that is capable of discovering high-quality cost-optimal solution for two-dimensional (2D) path network layouts (i.e., groups of obstacle-avoiding Euclidean Steiner trees) that, among other applications,... Read More about Multi-objective optimal design of obstacle-avoiding two-dimensional Steiner trees with application to ascent assembly engineering..

A process model for implementing information systems security governance. (2018)
Journal Article
NICHO, M. 2018. A process model for implementing information systems security governance. Information and computer security [online], 26(1), pages 10-38. Available from: https://doi.org/10.1108/ICS-07-2016-0061

Purpose: The frequent and increasingly potent cyber-attacks due to lack of an optimal mix of technical as well as non-technical IT controls, has led to increased adoption of security governance controls by organizations. The paper thus seeks to const... Read More about A process model for implementing information systems security governance..

Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement. (2018)
Journal Article
YAN, Y., REN, J., SUN, G., ZHAO, H., HAN, J., LI, X., MARSHALL, S. and ZHAN, J. 2018. Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement. Pattern recognition [online], 79, pages 65-78. Available from: https://doi.org/10.1016/j.patcog.2018.02.004

Visual attention is a kind of fundamental cognitive capability that allows human beings to focus on the region of interests (ROIs) under complex natural environments. What kind of ROIs that we pay attention to mainly depends on two distinct types of... Read More about Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement..

Improving e-learning recommendation by using background knowledge. (2018)
Journal Article
MBIPOM, B., CRAW, S. and MASSIE, S. 2021. Improving e-learning recommendation by using background knowledge. Expert systems [online], 38(7): artificial intelligence/EDMA 2017, article e12265. Available from: https://doi.org/10.1111/exsy.12265

There is currently a large amount of e-Learning resources available to learners on the Web. However, learners often have difficulty finding and retrieving relevant materials to support their learning goals because they lack the domain knowledge to cr... Read More about Improving e-learning recommendation by using background knowledge..

Deep imitation learning for 3D navigation tasks. (2017)
Journal Article
HUSSEIN, A., ELYAN, E., GABER, M.M. and JAYNE, C. 2018. Deep imitation learning for 3D navigation tasks. Neural computing and applications [online], 29(7), pages 389-404. Available from: https://doi.org/10.1007/s00521-017-3241-z

Deep learning techniques have shown success in learning from raw high dimensional data in various applications. While deep reinforcement learning is recently gaining popularity as a method to train intelligent agents, utilizing deep learning in imita... Read More about Deep imitation learning for 3D navigation tasks..

Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. (2017)
Journal Article
MAJDANI, F., PETROVSKI, A. and DOOLAN, D. 2017. Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. Evolving systems [online], 9(2), pages 119-133. Available from: https://doi.org/10.1007/s12530-017-9206-8

An adaptive multi-tiered framework, that can be utilised for designing a context-aware cyber physical system to carry out smart data acquisition and processing, while minimising the amount of necessary human intervention is proposed and applied. The... Read More about Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine..

The effect of person order on egress time: a simulation model of evacuation from a neolithic visitor attraction. (2017)
Journal Article
STEWART, A., ELYAN, E., ISAACS, J., MCEWEN, L. and WILSON, L. 2017. The effect of person order on egress time: a simulation model of evacuation from a neolithic visitor attraction. Human factors [online], 59(8), pages 1222-1232. Available from: https://doi.org/10.1177/0018720817729608

Objective: The aim of this study was to model the egress of visitors from a Neolithic visitor attraction. Background: Tourism attracts increasing numbers of elderly and mobility-impaired visitors to our built-environment heritage sites. Some such sit... Read More about The effect of person order on egress time: a simulation model of evacuation from a neolithic visitor attraction..

Goal-oriented requirements engineering: an extended systematic mapping study. (2017)
Journal Article
HORKOFF, J., AYDEMIR, F.B., CARDOSO, E., LI, T., MATÉ, A., PAJA, E., SALNITRI, M., PIRAS, L., MYLOPOULOS, J. and GIORGINI, P. 2019. Goal-oriented requirements engineering: an extended systematic mapping study. Requirements engineering [online], 24(2), pages 133-160. Available from: https://doi.org/10.1007/s00766-017-0280-z

Over the last two decades, much attention has been paid to the area of goal-oriented requirements engineering (GORE), where goals are used as a useful conceptualization to elicit, model, and analyze requirements, capturing alternatives and conflicts.... Read More about Goal-oriented requirements engineering: an extended systematic mapping study..

Persona-centred information security awareness. (2017)
Journal Article
KI-ARIES, D. and FAILY, S. 2017. Persona-centred information security awareness. Computers and security [online] 70, pages 663-674. Available from: https://doi.org/10.1016/j.cose.2017.08.001

Maintaining Information Security and protecting data assets remains a principal concern for businesses. Many data breaches continue to result from accidental, intentional or malicious human factors, leading to financial or reputational loss. One appr... Read More about Persona-centred information security awareness..

Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks. (2017)
Journal Article
MCDERMOTT, C.D. and PETROVSKI, A. 2017. Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks. International journal of computer networks and communications [online], 9(4), pages 45-56. Available from: https://doi.org/10.5121/ijcnc.2017.9404

Wireless Sensor Networks (WSNs) have become a key technology for the IoT and despite obvious benefits, challenges still exist regarding security. As more devices are connected to the internet, new cyber attacks are emerging which join well-known atta... Read More about Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks..

Debating technology for dialogical argument: sensemaking, engagement, and analytics. (2017)
Journal Article
LAWRENCE, J., SNAITH, M., KONAT, B., BUDZYNSKA, K. and REED. C. 2017. Debating technology for dialogical argument: sensemaking, engagement, and analytics. ACM transactions on internet technology [online], 17(3), article 24. Available from: https://doi.org/10.1145/3007210

Debating technologies, a newly emerging strand of research into computational technologies to support human debating, offer a powerful way of providing naturalistic, dialogue-based interaction with complex information spaces. The full potential of de... Read More about Debating technology for dialogical argument: sensemaking, engagement, and analytics..

Gravitation-based edge detection in hyperspectral images (2017)
Journal Article
SUN, G., ZHANG, A., REN, J., MA, J., WANG, P., ZHANG, Y. and JIA, X. 2017. Gravitation-based edge detection in hyperspectral images. Remote sensing [online], 9(6), article 592. Available from: https://doi.org/10.3390/rs9060592

Edge detection is one of the key issues in the field of computer vision and remote sensing image analysis. Although many different edge-detection methods have been proposed for gray-scale, color, and multispectral images, they still face difficulties... Read More about Gravitation-based edge detection in hyperspectral images.

A framework for unsupervised change detection in activity recognition. (2017)
Journal Article
BASHIR, S.A., PETROVSKI, A. and DOOLAN, D. 2017. A framework for unsupervised change detection in activity recognition. International journal of pervasive computing and communications [online], 13(2), pages 157-175. Available from: https://doi.org/10.1108/IJPCC-03-2017-0027

Purpose - This purpose of this paper is to develop a change detection technique for activity recognition model. The approach aims to detect changes in the initial accuracy of the model after training and when the model is deployed for recognizing new... Read More about A framework for unsupervised change detection in activity recognition..