All Outputs (86)

Opinion context extraction for aspect sentiment analysis. (2018)
Conference Proceeding
BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and LUHAR, R. 2018. Opinion context extraction for aspect sentiment analysis. In Proceedings of the 12th Association for the Advancement of Artificial Intelligence (AAAI) international conference on web and social media (ICWSM 2018), 25-28 June 2018, Palo Alto, USA. Palo Alto: AAAI Press [online], pages 564-567. Available from: https://www.aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/view/17859

Sentiment analysis is the computational study of opinionated text and is becoming increasing important to online commercial applications. However, the majority of current approaches determine sentiment by attempting to detect the overall polarity of... Read More about Opinion context extraction for aspect sentiment analysis..

New trends on digitisation of complex engineering drawings. (2018)
Journal Article
MORENO-GARCIA, C.F., ELYAN, E. and JAYNE, C. 2019. New trends on digitisation of complex engineering drawings. Neural computing and applications [online], 31(6): selected papers from the proceedings of the 18th Engineering applications of neural networks conference (EANN 2017), 25-27 August 2017, Athens, Greece, pages 1695-1712. Available from: https://doi.org/10.1007/s00521-018-3583-1

Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of drawings and documents that m... Read More about New trends on digitisation of complex engineering drawings..

Towards situational awareness of botnet activity in the Internet of Things (2018)
Conference Proceeding
MCDERMOTT, C.D., PETROVSKI, A.V. and MAJDANI, F. 2018. Towards situational awareness of botnet activity in the Internet of Things. In Proceedings of the 2018 International conference on cyber situational awareness, data analytics and assessment (Cyber SA 2018): cyber situation awareness as a tool for analysis and insight, 11-12 June 2018, Glasgow, UK. Piscataway: IEEE [online], article number 8551408. Available from: https://doi.org/10.1109/CyberSA.2018.8551408

An IoT botnet detection model is designed to detect anomalous attack traffic utilised by the mirai botnet malware. The model uses a novel application of Deep Bidirectional Long Short Term Memory based Recurrent Neural Network (BLSTMRNN), in conjuncti... Read More about Towards situational awareness of botnet activity in the Internet of Things.

Knowledge driven approaches to e-learning recommendation. (2018)
Thesis
MBIPOM, B. 2018. Knowledge driven approaches to e-learning recommendation. Robert Gordon University, PhD thesis.

Learners often have difficulty finding and retrieving relevant learning materials to support their learning goals because of two main challenges. The vocabulary learners use to describe their goals is different from that used by domain experts in tea... Read More about Knowledge driven approaches to e-learning recommendation..

Deep learning based approaches for imitation learning. (2018)
Thesis
HUSSEIN, A. 2018. Deep learning based approaches for imitation learning. Robert Gordon University, PhD thesis.

Imitation learning refers to an agent's ability to mimic a desired behaviour by learning from observations. The field is rapidly gaining attention due to recent advances in computational and communication capabilities as well as rising demand for int... Read More about Deep learning based approaches for imitation learning..

Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services. (2018)
Journal Article
OCHEI, L.C. and EJIOFOR, C.I. 2018. Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services. Advances in science, technology and engineering systems journal [online], 3(3), pages 92-99. Available from: https://doi.org/10.25046/aj030312

Multitenancy isolation is a way of ensuring that the performance, stored data volume and access privileges required by one tenant and/or component does not affect other tenants and/or components. One of the conditions that can influence the varying d... Read More about Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services..

Effective and efficient estimation of distribution algorithms for permutation and scheduling problems. (2018)
Thesis
AYODELE, M. 2018. Effective and efficient estimation of distribution algorithms for permutation and scheduling problems. Robert Gordon University, PhD thesis.

Estimation of Distribution Algorithm (EDA) is a branch of evolutionary computation that learn a probabilistic model of good solutions. Probabilistic models are used to represent relationships between solution variables which may give useful, human-un... Read More about Effective and efficient estimation of distribution algorithms for permutation and scheduling problems..

Non-traditional skills in undergraduate medical education: the development of a teaching programme. (2018)
Journal Article
BRADY, C. and ZARB, M. 2018. Non-traditional skills in undergraduate medical education: the development of a teaching programme. Scottish medical journal [online], 63(3), pages 80-81. Available from: https://doi.org/10.1177/0036933018776837

As a junior doctor in what is an increasingly struggling healthcare system, I am concerned to see that many of my junior and senior colleagues have opted not to continue onto the next stage of training. Whilst entrepreneurship, leadership and managem... Read More about Non-traditional skills in undergraduate medical education: the development of a teaching programme..

Coherent narrow-band light source for miniature endoscopes. (2018)
Journal Article
CHEN, Z.-Y., GOGOI, A., LEE, S.-Y., TSAI-LIN, Y., YI, P.-W.Y., LU, M.-K., HSIEH, C.-C., REN, J., MARSHALL, S. and KAO, F.-J. 2019. Coherent narrow-band light source for miniature endoscopes. IEEE journal of selected topics in quantum electronics [online], 25(1), article 7100707. Available from: https://doi.org/10.1109/JSTQE.2018.2836959

In this work, we report the successful implementation of a coherent narrow-band light source for miniature endoscopy applications. An RGB laser module that provides much higher luminosity than traditional incoherent white light sources is used for il... Read More about Coherent narrow-band light source for miniature endoscopes..

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..

Investigating benchmark correlations when comparing algorithms with parameter tuning: detailed experiments and results. (2018)
Report
CHRISTIE, L.A., BROWNLEE, A.E.I. and WOODWARD, J.R. 2018. Investigating benchmark correlations when comparing algorithms with parameter tuning: detailed experiments and results. Stirling: University of Stirling [online]. Available from: http://hdl.handle.net/1893/26956

Benchmarks are important to demonstrate the utility of optimisation algorithms, but there is controversy about the practice of benchmarking; we could select instances that present our algorithm favourably, and dismiss those on which our algorithm und... Read More about Investigating benchmark correlations when comparing algorithms with parameter tuning: detailed experiments and results..

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..

Optimizing webpage relevancy using page ranking and content based ranking. (2018)
Journal Article
BABU, J.S., KUMAR, T.R. and BANO, S. 2018. Optimizing webpage relevancy using page ranking and content based ranking. International journal of engineering and technology (Science Publishing Corporation) [online], 7(2.7): proceedings of the 2018 International conference on Internet of Things (IoT) and cyber security (ICICS 2018), 22-23 March 2018, Vijayawada, India, pages 1025-1029. Available from: https://doi.org/10.14419/ijet.v7i2.7.12220

Systems for web information mining can be isolated into a few classifications, depending on the type of target data and the purposes of the activity: Web structure mining; Web utilization mining; and Web Content Mining. This paper proposes another We... Read More about Optimizing webpage relevancy using page ranking and content based ranking..

A compressive survey on different image processing techniques to identify the brain tumor. (2018)
Journal Article
BHAGAVAN, K., IMAMBI, S.S. and BANO, S. 2018. A compressive survey on different image processing techniques to identify the brain tumor. International journal of engineering and technology (Science Publishing Corporation) [online], 7(2.7): proceedings of the 2018 International conference on Internet of Things (IoT) and cyber security (ICICS 2018), 22-23 March 2018, Vijayawada, India, pages 1081-1084. Available from: https://doi.org/10.14419/ijet.v7i2.7.12232

Medical imaging technology has revolutionized health care over the past three decades, allowing doctors to detect, cure and improve patient outcomes. Medicinal imaging involves pictures - of internal organs, parts, tissues and bones - for therapeutic... Read More about A compressive survey on different image processing techniques to identify the brain tumor..