All Outputs (607)

Exemplar-supported representation for effective class-incremental learning. (2020)
Journal Article
GUO, L., XIE, G., XU, X. and REN, J. 2020. Exemplar-supported representation for effective class-incremental learning. IEEE access [online], 8, pages 51276-51284. Available from: https://doi.org/10.1109/ACCESS.2020.2980386

Catastrophic forgetting is a key challenge for class-incremental learning with deep neural networks, where the performance decreases considerably while dealing with long sequences of new classes. To tackle this issue, in this paper, we propose a new... Read More about Exemplar-supported representation for effective class-incremental learning..

The poverty of nations: a relational perspective. (2020)
Book
SPICKER, P. 2020. The poverty of nations: a relational perspective. Bristol: Policy Press [online]. Available from: https://policy.bristoluniversitypress.co.uk/the-poverty-of-nations

In this persuasive study, social welfare and policy expert Paul Spicker makes a case for a relational view of poverty. Poverty is much more than a lack of resources. It involves a complex set of social relationships, such as economic disadvantage, in... Read More about The poverty of nations: a relational perspective..

Enantiospecific behaviour of chiral drugs in soil. (2020)
Journal Article
BERTIN, S., YATES, K. and PETRIE, B. 2020. Enantiospecific behaviour of chiral drugs in soil. Environmental pollution [online], 262, article ID114364. Available from: https://doi.org/10.1016/j.envpol.2020.114364

The importance of stereochemistry on the behaviour and effects of chiral pharmaceutical and illicit drugs in amended agricultural soils has been over looked to date. Therefore, this study was aimed at investigating the enantiospecific behaviour of a... Read More about Enantiospecific behaviour of chiral drugs in soil..

The effect of protozoa on the bacterial composition and hydrolytic activity of the roe deer rumen. (2020)
Journal Article
MILTKO, R., KOWALIK, B., MAJEWSKA, M.P., KĘDZIERSKA, A., MCEWAN, N.R. and BEŁŻECKI, G. 2020. The effect of protozoa on the bacterial composition and hydrolytic activity of the roe deer rumen. Animals [online], 10(3), article ID 467. Available from: https://doi.org/10.3390/ani10030467

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The purpose of this study was to compare the effect of the presence of protozoa in the rumen of wild roe deer (Capreolus capreolus) on the bacteria composition and digestion rate of the main c... Read More about The effect of protozoa on the bacterial composition and hydrolytic activity of the roe deer rumen..

Experimental investigation of a novel absorptive/reflective solar concentrator: a thermal analysis. (2020)
Journal Article
DAYANAND, A., AYKAPADATHU, M., SELLAMI, N. and NAZARINIA, M. 2020. Experimental investigation of a novel absorptive/reflective solar concentrator: a thermal analysis. Energies [online], 13(5), article ID e1281. Available from: https://doi.org/10.3390/en13051281

This paper presents the experimental investigation of a novel cross-compound parabolic concentrator (CCPC). For the first time, a CCPC module was designed to simultaneously work as an electricity generator and collect the thermal energy present in th... Read More about Experimental investigation of a novel absorptive/reflective solar concentrator: a thermal analysis..

Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland. (2020)
Journal Article
DEVECI, M, CALI, U., KUCUKSARI, S. and ERDOGAN, N. 2020. Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland. Energy [online], 198, article 117317. Available from: https://doi.org/10.1016/j.energy.2020.117317

Offshore wind energy takes up an important place in Ireland’s renewable generation portfolio thanks to its abundant offshore wind resource. Optimal offshore site selection and developing site-specific energy policy instruments are of key importance t... Read More about Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland..

The application of 3D motion analysis in surgical evaluation and training; a pilot study. (2020)
Presentation / Conference
AGOURIS, I., KOUMOULLIS, H., ATHANASOPOULOS, T. and PARSON, S. 2020. The application of 3D motion analysis in surgical evaluation and training: a pilot study. Presented at the Association of surgeons in training (ASiT) international surgical conference, 6-8th March 2020, Birmingham, UK.

Aim: To evaluate whole body, forearm, hand and surgical tool movements during various stitching tasks in experienced surgeons and final year medical students. Objectives: To determine the time required to complete each surgical task. To analyse the b... Read More about The application of 3D motion analysis in surgical evaluation and training; a pilot study..

Social media, social comparison and mental health. (2020)
Journal Article
WARRENDER, D. and MILNE, R. 2020. Social media, social comparison and mental health. Nursing times [online], 116(3), pages 58-61. Available from: https://www.nursingtimes.net/digital-edition/nursing-times-march-2020/

Social media has become a mainstay of popular culture, with a growing number of users. Yet the understanding of how social media can impact on mental health is at an early stage. This article focuses on social media and how the increased opportunity... Read More about Social media, social comparison and mental health..

Confidence in prediction: an approach for dynamic weighted ensemble. (2020)
Conference Proceeding
DO D.T., NGUYEN T.T., NGUYEN T.T., LUONG A.V., LIEW A.W.-C. and MCCALL J. 2020. Confidence in prediction: an approach for dynamic weighted ensemble. In Nguyen N., Jearanaitanakij K., Selamat A., Trawiński B. and Chittayasothorn S. (eds.) Intelligent information and database systems: proceedings of the 12th Asian intelligent information and database systems conference (ACIIDS 2020), 23-26 March 2020, Phuket, Thailand. Lecture Notes in Computer Science, 12033. Cham: Springer [online], part 1, pages 358-370. Available from: https://doi.org/10.1007/978-3-030-41964-6_31

Combining classifiers in an ensemble is beneficial in achieving better prediction than using a single classifier. Furthermore, each classifier can be associated with a weight in the aggregation to boost the performance of the ensemble system. In this... Read More about Confidence in prediction: an approach for dynamic weighted ensemble..

Representing temporal dependencies in human activity recognition. (2020)
Conference Proceeding
FORBES, G., MASSIE, S., CRAW, S., FRASER, L. and HAMILTON, G. 2019. Representing temporal dependencies in human activity recognition. In Kapetanakis, S. and Borck, H. (eds.) Proceedings of the 27th International conference on case-based reasoning workshop (ICCBR-WS19), co-located with the 27th International conference on case-based reasoning (ICCBR19), 8-12 September 2019, Otzenhausen, Germany. CEUR workshop proceedings, 2567. Aachen: CEUR-WS [online], pages 29-38. Available from: http://ceur-ws.org/Vol-2567/paper3.pdf

Smart Homes offer the opportunity to perform continuous, long-term behavioural and vitals monitoring of residents, which may be employed to aid diagnosis and management of chronic conditions without placing additional strain on health services. A pro... Read More about Representing temporal dependencies in human activity recognition..

Preface: case-based reasoning and deep learning. (2020)
Conference Proceeding
MARTIN, K., KAPETANAKIS, S., WIJEKOON, A., AMIN, K. and MASSIE, S. 2019. Preface: case-based reasoning and deep learning. In Kapetanakis, S. and Borck, H. (eds.) Proceedings of the 27th International conference on case-based reasoning workshop (ICCBR-WS19), co-located with the 27th International conference on case-based reasoning (ICCBR19), 8-12 September 2019, Otzenhausen, Germany. CEUR workshop proceedings, 2567. Aachen: CEUR-WS [online], pages 6-7. Available from: http://ceur-ws.org/Vol-2567/cbr_dl_preface.pdf

Recent advances in deep learning (DL) have helped to usher in a new wave of confidence in the capability of artificial intelligence. Increasingly, we are seeing DL architectures out perform long established state-of-the-art algorithms in a numb... Read More about Preface: case-based reasoning and deep learning..

Employing multi-modal sensors for personalised smart home health monitoring. (2020)
Conference Proceeding
FORBES, G. 2019. Employing multi-modal sensors for personalised smart home health monitoring. In Kapetanakis, S. and Borck, H. (eds.) Proceedings of the 27th International conference on case-based reasoning workshop (ICCBR-WS19), co-located with the 27th International conference on case-based reasoning (ICCBR19), 8-12 September 2019, Otzenhausen, Germany. CEUR workshop proceedings, 2567. Aachen: CEUR-WS [online], paper 19, pages 185-190. Available from: http://ceur-ws.org/Vol-2567/paper19.pdf

As the prevalence of IoT sensor equipment in smart homes continues to rise, long term monitoring for personalised and more representative health tracking has become more accessible. The estimation of physiological health factors such as gait and hear... Read More about Employing multi-modal sensors for personalised smart home health monitoring..

Annual energy output simulation of an optical concentrator based PV system for energy security. (2020)
Journal Article
FOSTER, S., MUHAMMAD-SUKKI, F., RAMIREZ-INIGUEZ, R., FREIER, D., DECIGA-GUSI, J., ABU-BAKAR, S.H., BANI, N.A., MUNIR, A.B., ABUBAKAR MUS'UD, A. and ARDILA-REY, J.A. 2020. Annual energy output simulation of an optical concentrator based PV system for energy security. IOP conference series: materials science and engineering [online], 736(3): proceedings of the 2019 Energy security and chemical engineering congress, 17-19 July 2019, Kuala Lumpur, Malaysia, article ID 032018. Available from: https://doi.org/10.1088/1757-899X/736/3/032018

Concentrating photovoltaic (CPV) system is an application of PV devices introduced with the aim of reducing the cost of BIPV systems through the use of an optical element to concentrate or focus the solar radiation from a large area, into a smaller a... Read More about Annual energy output simulation of an optical concentrator based PV system for energy security..

Temperature dependence of bend elastic constant in oblique helicoidal cholesterics. (2020)
Journal Article
IADLOVSKA, O.S., BABAKHANOVA, G., MEHL, G.H., WELCH, C., CRUICKSHANK, E., STRACHAN, G.J., STOREY, J.M.D., IMRIE, C.T., SHIYANOVSKII, S.V. and LAVRENTOVICH, O.D. 2020. Temperature dependence of blend elastic constant in oblique helicoidal cholesterics. Physical review research [online], 2 (1), article 013248. Available from: https://doi.org/10.1103/PhysRevResearch.2.013248

Elastic moduli of liquid crystals, known as Frank constants, are of quintessential importance for understanding fundamental properties of these materials and for the design of their applications. Although there are many methods to measure the Frank c... Read More about Temperature dependence of bend elastic constant in oblique helicoidal cholesterics..

Blockchain in construction industry: challenges and opportunities. (2020)
Presentation / Conference
HAMMA-ADAMA, M., SALMAN, H. and KOUIDER, T. 2020. Blockchain in construction industry: challenges and opportunities. To be presented at 2020 International engineering conference and exhibition (IECE 2020), 2-5 March 2020, Riyadh, Saudi Arabia.

Construction Industry is currently evolving around the world. On the other hand, despite the technological advancement across most sectors, construction industry remains amongst laggards in digitalization. Currently, engineering business is facing te... Read More about Blockchain in construction industry: challenges and opportunities..

Weakly supervised conditional random fields model for semantic segmentation with image patches. (2020)
Journal Article
XU, X., XUE, Y., HAN, X., ZHANG, Z., XIE, J. and REN, J. 2020. Weakly supervised conditional random fields model for semantic segmentation with image patches. Applied sciences [online], 10(5), article 1679. Available from: https://doi.org/10.3390/app10051679

Image semantic segmentation (ISS) is used to segment an image into regions with differently labeled semantic category. Most of the existing ISS methods are based on fully supervised learning, which requires pixel-level labeling for training the model... Read More about Weakly supervised conditional random fields model for semantic segmentation with image patches..

Land cover impacts towards thermal variation in the Kuala Lumpur City. (2020)
Journal Article
ISA, N.A., WAN MOHD, W.M.N., SALLEH, S.A., GEE OOI, M.C. and CHAN, A. 2020. Land cover impacts towards thermal variation in the Kuala Lumpur City. Journal of urban and regional analysis [online], 12(1), pages 91-111. Available from: https://doi.org/10.37043/JURA.2020.12.1.6

Physical geography and urban characteristics influence the urban climate conditions. Built-up areas, green urban parks, forest reserves, streets and terrain constitute the climatic interactions within urban areas. These have led to the variation of t... Read More about Land cover impacts towards thermal variation in the Kuala Lumpur City..

CFD modelling of pipe erosion under multiphase flow regimes. (2020)
Thesis
OGUNSESAN, O.A. 2020. CFD modelling of pipe erosion under multiphase flow regimes. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Pipe erosion due to sand transport can have an adverse effect on the production efficiency of pipe-lines and other related flow systems. Proper knowledge of the flow characteristics, particle behaviour and geometric effects is very important in the a... Read More about CFD modelling of pipe erosion under multiphase flow regimes..

Coaches' naturalistic decision-making: injury prevention in youth elite soccer players. (2020)
Thesis
SOMERS, S. 2020. Coaches' naturalistic decision-making: injury prevention in youth elite soccer players. Robert Gordon University [online], MRes thesis. Available from: https://openair.rgu.ac.uk

The purpose of this study is to uncover and understand the naturalistic decision-making process in youth academy soccer coaches, when making decisions for mitigating injury in youth soccer players. Data were collected on seven youth academy soccer co... Read More about Coaches' naturalistic decision-making: injury prevention in youth elite soccer players..

Design and analysis of current stress minimalisation controllers in multi-active bridge DC-DC converters. (2020)
Thesis
HEBALA, O.M. 2020. Design and analysis of current stress minimalisation controllers in multi-active bridge DC-DC converters. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Multi active bridge (MAB) DC-DC converters have attracted significant research attention in power conversion applications within DC microgrids, medium voltage DC and high voltage DC transmission systems. This is encouraged by MAB's several functional... Read More about Design and analysis of current stress minimalisation controllers in multi-active bridge DC-DC converters..