Outputs (94)

Calculating the impact of event using emotion detection. (2019)
Journal Article
SHIVA, T., KAVYA, T., REDDY, N.A. and BANO, S. 2019. Calculating the impact of event using emotion detection. International journal of innovative technology and exploring engineering [online], 8(7), article number G5105058719, pages 183-189. Available from: https://www.ijitee.org/portfolio-item/G5105058719/

Regardless of the extraordinary advancements in artificial intelligence, we are still far from having the capacity to normally associate with machines. Feature analysis in emotion recognition is significantly less concentrated than the facial recogni... Read More about Calculating the impact of event using emotion detection..

A fuzzy inference system applied to value of information assessment for oil and gas industry. (2019)
Journal Article
VILELA, M., OLUYEMI, G. and PETROVSKI, A. 2019. A fuzzy inference system applied to value of information assessment for oil and gas industry. Decision making: applications in management and engineering [online], 2(2), pages 1-18. Available from: https:// doi.org/10.31181/dmame1902001v

Value of information is a widely accepted methodology for evaluating the need to acquire new data in the oil and gas industry. In the conventional approach to estimating the value of information, the outcomes of a project assessment relate to the dec... Read More about A fuzzy inference system applied to value of information assessment for oil and gas industry..

Generalised median of graph correspondences. (2019)
Journal Article
MORENO-GARCÍA, C.F. and SERRATOSA, F. 2019. Generalised median of graph correspondences. Pattern recognition letters [online], 125, pages 389-395. Available from: https://doi.org/10.1016/j.patrec.2019.05.015

A graph correspondence is defined as a function that maps the elements of two attributed graphs. Due to the increasing availability of methods to perform graph matching, numerous graph correspondences can be deducted for a pair of attributed graphs.... Read More about Generalised median of graph correspondences..

Hyperspectral image reconstruction using multi-colour and time-multiplexed LED illumination. (2019)
Journal Article
TSCHANNERL, J., REN, J., ZHAO, H., KAO, F.-J., MARSHALL, S. and YUEN, P. 2019. Hyperspectral image reconstruction using multi-colour and time-multiplexed LED illumination. Optics and lasers in engineering [online], 121, pages 352-357. Available from: https://doi.org/10.1016/j.optlaseng.2019.04.014

The rapidly rising industrial interest in hyperspectral imaging (HSI) has generated an increased demand for cost effective HSI devices. We are demonstrating a mobile and low-cost multispectral imaging system, enabled by time-multiplexed RGB Light Emi... Read More about Hyperspectral image reconstruction using multi-colour and time-multiplexed LED illumination..

Developing accessible services: understanding current knowledge and areas for future support. (2019)
Conference Proceeding
CRABB, M., HERON, M., JONES, R., ARMSTRONG, M., REID, H. and WILSON, A. 2019. Developing accessible services: understanding current knowledge and areas for future support. In Proceedings of the conference on human factors in computing systems 2019 (CHI 2019): weaving the threads of CHI, 4-9 May 2019, Glasgow, UK. New York: ACM [online], paper 216. Available from: https://doi.6org/10.1145/3290605.3300446

When creating digital artefacts, it is important to ensure that the product being made is accessible to as much of the population as is possible. Many guidelines and supporting tools exist to assist reaching this goal. However, little is known about... Read More about Developing accessible services: understanding current knowledge and areas for future support..

Embedding entrepreneurial skills within computing. (2019)
Book Chapter
ZARB, M., BRADY, C. and MCDERMOTT, R. 2019. Embedding entrepreneurial skills within computing. In H.T.M. Bui, H.T.M. Nguyen and D. Cole (eds.) Innovate higher education to enhance graduate employability: rethinking the possibilities. London: Routledge [online], chapter 11. Available from: https://doi.org/10.4324/9780429058899-11

The Scottish government launched a nationwide drive to increase entrepreneurial skills, looking to become a “world-leading entrepreneurial and innovative nation". One of the key ambitions of this is to build an education system with entrepreneurship... Read More about Embedding entrepreneurial skills within computing..

Strengthening student engagement: evaluating the role of the digital skills agenda in higher education. (2019)
Presentation / Conference
LAWANI, A., SINGH, A., MCNEIL, A., DURACK, B. and KALUTARAGE, H. 2019. Strengthening student engagement: evaluating the role of the digital skills agenda in higher education. Presented at the 2019 Department for the Enhancement of Learning, Teaching and Access (DELTA) learning and teaching conference (LTC 2019): learning without borders, 2 May 2019, Aberdeen, UK.

Digital technology can contribute to all three areas of the TEF: teaching quality; learning environment; and student outcomes (Davies S, Mullan and Feldman 2017). Digital skills are helpful in designing enhanced and effective learning activities (Cop... Read More about Strengthening student engagement: evaluating the role of the digital skills agenda in higher education..

Coastal wetland mapping with sentinel-2 MSI imagery based on gravitational optimized multilayer perceptron and morphological attribute profiles. (2019)
Journal Article
ZHANG, A., SUN, G., MA, P., JIA, X., REN, J., HUANG, H. and ZHANG, X. 2019. Coastal wetland mapping with sentinel-2 MSI imagery based on gravitational optimized multilayer perceptron and morphological attribute profiles. Remote sensing [online], 11(8), article 952. Available from: https://doi.org/10.3390/rs11080952

Coastal wetland mapping plays an essential role in monitoring climate change, the hydrological cycle, and water resources. In this study, a novel classification framework based on the gravitational optimized multilayer perceptron classifier and exten... Read More about Coastal wetland mapping with sentinel-2 MSI imagery based on gravitational optimized multilayer perceptron and morphological attribute profiles..

Implementing GDPR in the Charity Sector: A Case Study (2019)
Conference Proceeding
HENRIKSEN-BULMER, J., FAILY, S. and JEARY, S. 2019. Implementing GDPR in the charity sector: a case study. In Kosta, E., Pierson, J., Slamanig, D., Fischer-Hübner, S. and Krenn, S. (eds.) Privacy and identity management: fairness, accountability and transparency in the age of Big Data: revised selected papers from the 13th International Federation for Information Processing Working Groups 9.2, 9.6/11.7, 11.6, Special Interest Group 9.2.2 international summer school (IFIP Summer School 2018), 20-24 August 2018, Vienna, Austria. IFIP advances in information and communication technology, 547. Cham: Springer [online], pages 173-188. Available from: https://doi.org/10.1007/978-3-030-16744-8_12

Due to their organisational characteristics, many charities are poorly prepared for the General Data Protection Regulation (GDPR). We present an exemplar process for implementing GDPR and the DPIA Data Wheel, a DPIA framework devised as part of the c... Read More about Implementing GDPR in the Charity Sector: A Case Study.

Building extraction from high-resolution aerial imagery using a generative adversarial network with spatial and channel attention mechanisms. (2019)
Journal Article
PAN, X., YANG, F., GAO, L., CHEN, Z., ZHANG, B., FAN, H. and REN, J. 2019. Building extraction from high-resolution aerial imagery using a generative adversarial network with spatial and channel attention mechanisms. Remote sensing [online], 11(8), article 917. Available from: https://doi.org/10.3390/rs11080917

Segmentation of high-resolution remote sensing images is an important challenge with wide practical applications. The increasing spatial resolution provides fine details for image segmentation but also incurs segmentation ambiguities. In this paper,... Read More about Building extraction from high-resolution aerial imagery using a generative adversarial network with spatial and channel attention mechanisms..