All Outputs (634)

Identifying the immediate and remote causes of pipeline disasters in Nigeria. (2020)
Journal Article
JOHNSON, F.I. and LEON, M. 2020. Identifying the immediate and remote causes of pipeline disasters in Nigeria. Global journal of science frontier research H: environment and earth science [online], 20(3), pages 1-14. Available from: https://journalofscience.org/index.php/GJSFR/article/view/2735

Several occurrences of the transport system of the natural gold vandalisms in Nigeria, especially in the Niger Delta part of Nigeria is so upfront and seem neverending. However, this seemed also to be a result of many factors ranging from the unemplo... Read More about Identifying the immediate and remote causes of pipeline disasters in Nigeria..

A narrative overview of active surveillance for clinically localised prostate cancer. (2020)
Journal Article
BATES, A.S., KOSTAKOPOULOS, N., AYERS, J., JAMESON, M., TODD, J., LUKHA, R., CYMES, W., CHASAPI, D., BROWN, N., BHATTACHARYA, Y., PATERSON, C. and LAM, T.B.L. 2020. A narrative overview of active surveillance for clinically localised prostate cancer. Seminars in oncology nursing [online], 36(4), article ID 151045. Available from: https://doi.org/10.1016/j.soncn.2020.151045

Background-Active surveillance (AS) is a strategy employed as an alternative to immediate standard active treatments for patients with low-risk localised prostate cancer (PCa). Active treatments such as radical prostatectomy and radiotherapy are asso... Read More about A narrative overview of active surveillance for clinically localised prostate cancer..

What does not kill us makes us stronger: the story of repetitive consumer loan applications. (2020)
Journal Article
CAGLAYAN, M., TALAVERA, O., XIONG, L. and ZHANG, J. 2022. What does not kill us makes us stronger: the story of repetitive consumer loan applications. European journal of finance [online], 28(1), pages 46-65. Available from: https://doi.org/10.1080/1351847X.2020.1793792

We investigate borrower and lender behaviours when the borrower has experienced a sequence of failed loan applications. Our analysis is based on half a million observations from an established peer-to-peer (P2P) loan platform in China, from 2010 to 2... Read More about What does not kill us makes us stronger: the story of repetitive consumer loan applications..

Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. (2020)
Presentation / Conference Contribution
MORENO-GARCÍA, C.F., JOHNSTON, P. and GARKUWA, B. 2020. Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207479. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207479

One of the key features of most document image digitisation systems is the capability of discerning between the main components of the printed representation at hand. In the case of engineering drawings, such as circuit diagrams, telephone exchanges... Read More about Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks..

Deep learning for text detection and recognition in complex engineering diagrams. (2020)
Presentation / Conference Contribution
JAMIESON, L, MORENO-GARCIA, C.F. and ELYAN, E. 2020. Deep learning for text detection and recognition in complex engineering diagrams. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207127. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207127

Engineering drawings such as Piping and Instrumentation Diagrams contain a vast amount of text data which is essential to identify shapes, pipeline activities, tags, amongst others. These diagrams are often stored in undigitised format, such as paper... Read More about Deep learning for text detection and recognition in complex engineering diagrams..

Representing temporal dependencies in smart home activity recognition for health monitoring. (2020)
Presentation / Conference Contribution
FORBES, G., MASSIE, S., CRAW, S., FRASER, L. and HAMILTON, G. 2020. Representing temporal dependencies in smart home activity recognition for health monitoring. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207480. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207480

Long term health conditions, such as fall risk, are traditionally diagnosed through testing performed in hospital environments. Smart Homes offer the opportunity to perform continuous, long-term behavioural and vitals monitoring of residents, which m... Read More about Representing temporal dependencies in smart home activity recognition for health monitoring..

Locality sensitive batch selection for triplet networks. (2020)
Presentation / Conference Contribution
MARTIN, K., WIRATUNGA, N. and SANI, S. 2020. Locality sensitive batch selection for triplet networks. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207538. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207538

Triplet networks are deep metric learners which learn to optimise a feature space using similarity knowledge gained from training on triplets of data simultaneously. The architecture relies on the triplet loss function to optimise its weights based u... Read More about Locality sensitive batch selection for triplet networks..

Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition. (2020)
Presentation / Conference Contribution
WIJEKOON, A., WIRATUNGA, N. and COOPER, K. 2020. Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9206941. Available from: https://doi.org/10.1109/IJCNN48605.2020.9206941

Exercise adherence is a key component of digital behaviour change interventions for the self-management of musculoskeletal pain. Automated monitoring of exercise adherence requires sensors that can capture patients performing exercises and Machine Le... Read More about Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition..

Identifying the supportive care needs of men and women affected by chemotherapy-induced alopecia? A systematic review. (2020)
Journal Article
PATERSON, C., KOZLOVSKAIA, M., TURNER, M., STRICKLAND, K., ROBERTS, C., OGILVIE, R., PRANAVAN, G. and CRAFT, P. 2021. Identifying the supportive care needs of men and women affected by chemotherapy-induced alopecia? A systematic review. Journal of cancer survivorship [online], 15(1), pages 14-28. Available from: https://doi.org/10.1007/s11764-020-00907-6

Purpose: To systematically evaluate evidence regarding the unmet supportive care needs of men and women affected by chemotherapy-induced alopecia (CIA) to inform clinical practice guidelines. Methods: We performed a review of CINAHL, MEDLINE, PsychIN... Read More about Identifying the supportive care needs of men and women affected by chemotherapy-induced alopecia? A systematic review..

Inconclusive bone scan in men with intermediate and high-risk prostate cancer: what next? (2020)
Journal Article
PRIMEAU, C., PATERSON, C. and NABI, G. 2020. Inconclusive bone scan in men with intermediate and high-risk prostate cancer: what next? Seminars in oncology nursing [online], 36(4), article ID 151046. Available from: https://doi.org/10.1016/j.soncn.2020.151046

Objective: To evaluate the incidence of inconclusive bone scans and down-stream imaging and clinical follow-up generated, including subsequent treatment outcomes in men affected by inconclusive bone scans with intermediate- and high-risk prostate can... Read More about Inconclusive bone scan in men with intermediate and high-risk prostate cancer: what next?.

CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification. (2020)
Journal Article
ELYAN, E., MORENO-GARCIA, C.F. and JAYNE, C. 2021. CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification. Neural computing and applications [online], 33(7), pages 2839-2851. Available from: https://doi.org/10.1007/s00521-020-05130-z

Class-imbalanced datasets are common across several domains such as health, banking, security, and others. The dominance of majority class instances (negative class) often results in biased learning models, and therefore, classifying such datasets re... Read More about CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification..

STEM teaching for the Internet of Things maker course: a teaching model based on the iterative loop. (2020)
Journal Article
CHEN, R., ZHENG, Y., XU, X., ZHAO, H., REN, J. and TAN, H.-Z. 2020. STEM teaching for the Internet of Things maker course: a teaching model based on the interative loop. Sustainability [online], 12(14), article 5758. Available from: https://doi.org/10.3390/su12145758

As the key technology for 5G applications in the future, the Internet of Things (IoT) is developing rapidly, and the demand for the cultivation of engineering talents in the IoT is also expanding. The rise of maker education has brought new teaching... Read More about STEM teaching for the Internet of Things maker course: a teaching model based on the iterative loop..

Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and Parkinson's disease. (2020)
Journal Article
VUTTIPITTAYAMONGKOL, P. and ELYAN, E. 2020. Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and Parkinson's disease. International journal of neural systems [online], 30(8), article ID 2050043. Available from: https://doi.org/10.1142/S0129065720500434

Classification of imbalanced datasets has attracted substantial research interest over the past decades. Imbalanced datasets are common in several domains such as health, finance, security and others. A wide range of solutions to handle imbalanced da... Read More about Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and Parkinson's disease..

Improving physical and mental health in patients with prostate cancer undergoing androgen deprivation therapy: strategies to promote and improve physical activity quality and quantity. (2020)
Journal Article
TOOHEY, K., MCKUNE, A., NAHON, I., KAVANAGH, P. S., NEWTON, R. U., and PATERSON, C. 2020. Improving physical and mental health in patients with prostate cancer undergoing androgen deprivation therapy: strategies to promote and improve physical activity quality and quantity. Seminars in oncology nursing [online], 36(4), article ID 151051. Available from: https://doi.org/10.1016/j.soncn.2020.151051

Objective: Prostate cancer continues to be one of the highest-incident cancers among men. Reducing serum testosterone with androgen deprivation therapy (ADT) is a common effective treatment. While well-demonstrated for cancer suppression, there are n... Read More about Improving physical and mental health in patients with prostate cancer undergoing androgen deprivation therapy: strategies to promote and improve physical activity quality and quantity..

Review of Natalie Loveless (ed.) "Knowings and knots: methodologies and ecologies in research-creation". (2020)
Journal Article
CLARKE, J. 2020. Review of Natalie Loveless (ed.) "Knowings and knots: methodologies and ecologies in research-creation". Journal for artistic research [online]. Available from: https://doi.org/10.22501/jarnet.0031

Knowings and Knots itself offers few detailed discussions of actual knots, save for Caroline Cambre's impeccable description of Inca khipu knots, which 'exist at the juncture of memory, language, visual signs, and tactile processes' and could 'be und... Read More about Review of Natalie Loveless (ed.) "Knowings and knots: methodologies and ecologies in research-creation"..

The experiences and effectiveness of canine-assisted interventions (CAIs) on the health and well-being of older people residing in long-term care: a mixed methods systematic review protocol. [Protocol] (2020)
Other
STERN, C., LIZARONDO, L., CARRIER, J., GODFREY, C., RIEGER, K., SALMOND, S., APOSTOLO, J., KIRKPATRICK, P. and LOVEDAY, H. [2020]. The experiences and effectiveness of canine-assisted interventions (CAIs) on the health and well-being of older people residing in long-term care: a mixed methods systematic review protocol. [Protocol]. PROSPERO [online], item number CRD42020161235. Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020161235

The aim of this mixed methods review is to synthesize and integrate the best available evidence on the experiences and effectiveness of canine-assisted interventions (CAIs) on the health and well-being of older people residing in long-term care. More... Read More about The experiences and effectiveness of canine-assisted interventions (CAIs) on the health and well-being of older people residing in long-term care: a mixed methods systematic review protocol. [Protocol].

The effects of oral contraceptives on exercise performance in women: a systematic review and meta-analysis. (2020)
Journal Article
ELLIOTT-SALE, K.J., MCNULTY, K.L., ANSDELL, P., GOODALL, S., HICKS, K.M. THOMAS, K., SWINTON, P.A. and DOLAN, E. 2020. The effects of oral contraceptives on exercise performance in women: a systematic review and meta-analysis. Sports medicine [online], 50(10), pages 1785-1812. Available from: https://doi.org/10.1007/s40279-020-01317-5

Background: Oral contraceptive pills (OCPs) are double agents, which downregulate endogenous concentrations of oestradiol and progesterone whilst simultaneously providing daily supplementation of exogenous oestrogen and progestin during the OCP-takin... Read More about The effects of oral contraceptives on exercise performance in women: a systematic review and meta-analysis..

Sensitivity analysis applied to fuzzy inference on the value of information in the oil and gas industry. (2020)
Journal Article
VILELA, M., OLUYEMI, G. and PETROVSKI, A. 2020. Sensitivity analysis applied to fuzzy inference on the value of information in the oil and gas industry. International journal of applied decision sciences [online], 13(3), pages 344-362. Available from: https://doi.org/10.1504/IJADS.2020.10026404

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 Sensitivity analysis applied to fuzzy inference on the value of information in the oil and gas industry..

Co‐creation of five key research priorities across law enforcement and public health: a methodological example and outcomes. (2020)
Journal Article
MURRAY, J., HEYMAN, I., DOUGALL, N., WOOFF, A., ASHTON, E. and ENANG, I. 2021. Co-creation of five key research priorities across law enforcement and public health: a methodological example and outcomes. Journal of psychiatric and mental health nursing [online], 28(1): law enforcement and public mental health, pages 3-15. Available from: https://doi.org/10.1111/jpm.12664

Introduction: What is known on the subject?: Between policing and health, there are many shared issues. Mental health distress and crises and caring for people who may be vulnerable are priority areas. Working together in partnership is challenging,... Read More about Co‐creation of five key research priorities across law enforcement and public health: a methodological example and outcomes..

North-east COVID-19 observatory: issue 5. (2020)
Other
KYDD, A., TEODOROWSKI, P., PAPADATOU, Z., VELO HIGUERAS, M., MACLEAN, C. and OZA, R. (eds.) 2020. North-east COVID-19 observatory: issue 5. Aberdeen: Robert Gordon University.

Welcome to our fifth themed issue in which we are focusing on gender issues. We have two guest speakers to provide a male and female perspective, and we have provided resources that address the oft-marginalised gender groups.