All Outputs (622)

EEG-based brain-computer interfaces using motor-imagery: techniques and challenges. (2019)
Journal Article
PADFIELD, N., ZABALZA, J., ZHAO, H., MASERO, V. and REN, J. 2019. EEG-based brain-computer interfaces using motor-imagery: techniques and challenges. Sensors [online], 19(6), article 1423. Available from: https://doi.org/10.3390/s19061423

Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those using motor-imagery (MI) data, have the potential to become groundbreaking technologies in both clinical and entertainment settings. MI data is generated when a s... Read More about EEG-based brain-computer interfaces using motor-imagery: techniques and challenges..

A review of digital video tampering: from simple editing to full synthesis. (2019)
Journal Article
JOHNSTON, P. and ELYAN, E. 2019. A review of digital video tampering: from simple editing to full synthesis. Digital investigation [online], 29, pages 67-81. Available from: https://doi.org/10.1016/j.diin.2019.03.006

Video tampering methods have witnessed considerable progress in recent years. This is partly due to the rapid development of advanced deep learning methods, and also due to the large volume of video footage that is now in the public domain. Historica... Read More about A review of digital video tampering: from simple editing to full synthesis..

Acute dietary zinc deficiency in rats exacerbates myocardial ischaemia-reperfusion injury through depletion of glutathione. (2019)
Journal Article
SKENE, K., WALSH, S.K., OKAFOR, O., GODSMAN, N., BARROWS, C., MEIER, P., GORDON, M.J., BEATTIE, J.H. and WAINWRIGHT, C.L. 2019. Acute dietary zinc deficiency in rats exacerbates myocardial ischaemia-reperfusion injury through depletion of glutathione. British journal of nutrition [online], 121(9), pages 961-973. Available from: https://doi.org/10.1017/S0007114519000230

Zinc (Zn) plays an important role in maintaining the anti-oxidant status within the heart, and helps to counter the acute redox stress that occurs during myocardial ischaemia and reperfusion. Individuals with low zinc (Zn) levels are at greater risk... Read More about Acute dietary zinc deficiency in rats exacerbates myocardial ischaemia-reperfusion injury through depletion of glutathione..

Autonomous moving target-tracking for a UAV quadcopter based on fuzzy-PI. (2019)
Journal Article
RABAH, M., ROHAN, A., MOHAMED, S.A.S. and KIM, S.-H. 2019. Autonomous moving target-tracking for a UAV quadcopter based on fuzzy-PI. IEEE access [online] 7, pages 38407-38419. Available from: https://doi.org/10.1109/ACCESS.2019.2906345

Moving target-tracking is an attractive application for quadcopters and a very challenging, complicated field of research due to the complex dynamics of a quadcopter and the varying speed of the moving target with time. For this reason, various contr... Read More about Autonomous moving target-tracking for a UAV quadcopter based on fuzzy-PI..

Recognizing food places in egocentric photo-streams using multi-scale atrous convolutional networks and self-attention mechanism. (2019)
Journal Article
SARKER, M.M.K., RASHWAN, H.A., AKRAM, F., TALAVERA, E., BANU, S.F., RADEVA, P. and PUIG, D. 2019. Recognizing food places in egocentric photo-streams using multi-scale atrous convolutional networks and self-attention mechanism. IEEE access [online], 7, pages 39069-39082. Available from: https://doi.org/10.1109/ACCESS.2019.2902225

Wearable sensors (e.g., lifelogging cameras) represent very useful tools to monitor people's daily habits and lifestyle. Wearable cameras are able to continuously capture different moments of the day of their wearers, their environment, and interacti... Read More about Recognizing food places in egocentric photo-streams using multi-scale atrous convolutional networks and self-attention mechanism..

Local block multilayer sparse extreme learning machine for effective feature extraction and classification of hyperspectral images. (2019)
Journal Article
CAO, F., YANG, Z., REN, J., CHEN, W., HAN, G. and SHEN, Y. 2019. Local block multilayer sparse extreme learning machine for effective feature extraction and classification of hyperspectral images. IEEE transactions on geoscience and remote sensing [online], 57(8), pages 5580-5594. Available from: https://doi.org/10.1109/tgrs.2019.2900509

Although extreme learning machines (ELM) have been successfully applied for the classification of hyperspectral images (HSIs), they still suffer from three main drawbacks. These include: 1) ineffective feature extraction (FE) in HSIs due to a single... Read More about Local block multilayer sparse extreme learning machine for effective feature extraction and classification of hyperspectral images..

Addressing medication errors in an adult oncology department in Saudi Arabia: a qualitative study. (2019)
Journal Article
ALHARBI, W., CLELAND, J. and MORRISON, Z. 2019. Addressing medication errors in an adult oncology department in Saudi Arabia: a qualitative study. Saudi pharmaceutical journal [online], 27(5), pages 650-654. Available from: https://doi.org/10.1016/j.jsps.2019.03.007

There is a wide range of strategies that could help in minimizing medication errors during healthcare delivery. We undertook a qualitative study to identify recommended solutions to minimize medication errors in an adult oncology department in Saudi... Read More about Addressing medication errors in an adult oncology department in Saudi Arabia: a qualitative study..

Influence of reduced graphene oxide on epoxy/carbon fibre-reinforced hybrid composite: flexural and shear properties under varying temperature conditions. (2019)
Journal Article
JENKINS, P., SIDDIQUE, S., KHAN, S., USMAN, A., STAROST, K., MACPHERSON, A., BARI, P., MISHRA, S. and NJUGUNA, J. 2019. Influence of reduced graphene oxide on epoxy/carbon fibre-reinforced hybrid composite: flexural and shear properties under varying temperature conditions. Advanced engineering materials [online], 21(6), article ID 1800614. Available from: https://doi.org/10.1002/adem.201800614

This study investigated the effectiveness of reduced graphene oxide as nanofiller in enhancing epoxy/carbon fibre-reinforced composite at varying temperature conditions. The graphene oxide was synthesised using modified Hummer’s method and then chemi... Read More about Influence of reduced graphene oxide on epoxy/carbon fibre-reinforced hybrid composite: flexural and shear properties under varying temperature conditions..

Effect of tungsten doping on the properties of In2O3 films. (2019)
Journal Article
KRISHNAN, R.R., KAVITHA, V.S., CHALANA, S.R., PRABHU, R. and PILLAI, V.P.M. 2019. Effect of tungsten doping on the properties of In2O3 films. JOM: journal of the minerals, metals and materials society [online], 71(5), pages 1885-1896. Available from: https://doi.org/10.1007/s11837-019-03426-7

Highly crystalline tungsten oxide (WO3)-doped indium oxide (In2O3) films are synthesized at room temperature by the RF magnetron sputtering technique. The structural and morphological properties of the as-deposited films and the films annealed at a t... Read More about Effect of tungsten doping on the properties of In2O3 films..

Enhanced photoelectrochemical hydrogen production efficiency of MoS2-Si heterojunction. (2019)
Journal Article
ALARAWI, A., RAMALINGAM, V., FU, H.-C., VARADHAN, P., YANG, R. and HE, J.-H. 2019. Enhanced photoelectrochemical hydrogen production efficiency of MoS2-Si heterojunction. Optics express [online], 27(8), pages A352-A363. Available from: https://doi.org/10.1364/OE.27.00A352

Photoelectrochemical water splitting is one of the viable approaches to produce clean hydrogen energy from water. Herein, we report MoS 2 /Si-heterojunction (HJ) photocathode for PEC H 2 production. The MoS 2 /Si-HJ photocathode exhibits exceptional... Read More about Enhanced photoelectrochemical hydrogen production efficiency of MoS2-Si heterojunction..

Smart sensing and adaptive reasoning for enabling industrial robots with interactive human-robot capabilities in dynamic environments: a case study. (2019)
Journal Article
ZABALZA, J., FEI, Z., WONG, C., YAN, Y., MINEO, C., YANG, E., RODDEN, T., MEHNEN, J., PHAM, Q.-C. and REN, J. 2019. Smart sensing and adaptive reasoning for enabling industrial robots with interactive human-robot capabilities in dynamic environments: a case study. Sensors [online], 19(6), article 1354. Available from: https://doi.org/10.3390/s19061354

Traditional industry is seeing an increasing demand for more autonomous and flexible manufacturing in unstructured settings, a shift away from the fixed, isolated workspaces where robots perform predefined actions repetitively. This work presents a c... Read More about Smart sensing and adaptive reasoning for enabling industrial robots with interactive human-robot capabilities in dynamic environments: a case study..

What are the experiences of men affected by prostate cancer participating in an ecological momentary assessment study? (2019)
Journal Article
PATERSON, C., PRIMEAU, C. and LAUDER, W. 2020. What are the experiences of men affected by prostate cancer participating in an ecological momentary assessment study? Cancer nursing [online], 43(4), pages 300-310. Available from: https://doi.org/10.1097/NCC.0000000000000699

Background: Within the cluster of self-report methodologies, ecological momentary assessment (EMA) is a method used in health services research whereby a participant repeatedly reports on affect, behaviours, symptoms and cognitions as they occur in r... Read More about What are the experiences of men affected by prostate cancer participating in an ecological momentary assessment study?.

Fall prediction using behavioural modelling from sensor data in smart homes. (2019)
Journal Article
FORBES, G., MASSIE, S. and CRAW, S. 2020. Fall prediction using behavioural modelling from sensor data in smart homes. Artificial intelligence review [online], 53(2), pages 1071-1091. Available from: https://doi.org/10.1007/s10462-019-09687-7

The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other laboratory environments, however... Read More about Fall prediction using behavioural modelling from sensor data in smart homes..

A lossless online Bayesian classifier. (2019)
Journal Article
NGUYEN, T.T.T., NGUYEN, T.T., SHARMA, R. and LIEW, A. W.-C. 2019. A lossless online Bayesian classifier. Information sciences [online], 489, pages 1-17. Available from: https://doi.org/10.1016/j.ins.2019.03.031

We are living in a world progressively driven by data. Besides the issue that big data cannot be entirely stored in the main memory as required by traditional offline learning methods, the problem of learning data that can only be collected over time... Read More about A lossless online Bayesian classifier..

Challenges facing the Siem Reap tuk-tuk workforce in a changing tourism environment. (2019)
Presentation / Conference Contribution
LEITH, C. 2019. Challenges facing the Siem Reap tuk-tuk workforce in a changing tourism environment. In Sousa, C., Vaz de Freitas, I. and Marques, J. (eds.) Proceedings of the 2nd International conference on tourism research (ICTR 2019), 14-15 March 2019, Porto, Portugal. Reading: Academic Conferences and Publishing International Limited [online}, pages 166-172. Available from: http://academic-bookshop.com/ourshop/prod_6701989-ICTR-2019-PDF-Proceedings-of-the-2nd-International-Conference-on-Tourism-Research.html

Tourists have long used tuk-tuks as a convenient, cheap and enjoyable way to travel around when visiting many Asian cities. Significant changes in the tourism environment have led to challenges for the tuk-tuk workforce in some of their traditional c... Read More about Challenges facing the Siem Reap tuk-tuk workforce in a changing tourism environment..

Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm. (2019)
Journal Article
HASAN, M.J. and KIM, J.-M. 2019. Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm. Energies [online], 12(6): fault diagnosis and fault-tolerant control, article 991. Available from: https://doi.org/10.3390/en12060991

Fault detection in metallic structures requires a detailed and discriminative feature pool creation mechanism to develop an effective condition monitoring system. Traditional fault detection methods incorporate handcrafted features either from the ti... Read More about Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm..

Weakly supervised deep semantic segmentation using CNN and ELM with semantic candidate regions. (2019)
Journal Article
XU, X., LI, G., XIE, G., REN, J. and XIE, X. 2019. Weakly supervised deep semantic segmentation using CNN and ELM with semantic candidate regions. Complexity [online], 2019: complex deep learning and evolutionary computing models in computer vision, article 9180391. Available from: https://doi.org/10.1155/2019/9180391

The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations. However, the pi... Read More about Weakly supervised deep semantic segmentation using CNN and ELM with semantic candidate regions..

Design of a DC-DC converter in residential solar photovoltaic system. (2019)
Presentation / Conference Contribution
DARAMEIČIKAS, M., MUHAMMAD-SUKI, F., ABU-BAKAR, S.H., SELLAMI, N., BANI, N.A., MAS’UD, A.A. and ARDILA-REY, J.A. 2019. Design of a DC-DC converter in residential solar photovoltaic system. Journal of physics: conference series [online], 1174: proceedings of 2nd International women in science, engineering and technology conference 2018.(WiSET 2018), 17-19 July 2018, Kuala Lumpur, MY, article ID 012006. Available from: https://doi.org/10.1088/1742-6596/1174/1/012006

This study looks at buck type switch mode power supplies (SMPS) suitability in residential solar photovoltaic (PV) applications, of which several factors affecting the desired output response are identified. The main objective of the study is to desi... Read More about Design of a DC-DC converter in residential solar photovoltaic system..

Highly ordered good crystalline ZnO-doped WO3 thin films suitable for optoelectronic applications. (2019)
Journal Article
KAVITHA, V.S., BOSE, R.J., SREEDHARAN, R.S., SUDARSANAKUMAR, C., PRABHU, R. and PILLAI, V.P.M. 2019. Highly ordered good crystalline ZnO-doped WO3 thin films suitable for optoelectronic applications. JOM journal of the minerals, metals and materials society [online], 71(5), pages 1874-1884. Available from: https://doi.org/10.1007/s11837-019-03425-8

Highly ordered ZnO-doped WO3 thin films with good crystalline quality are prepared using radio frequency magnetron sputtering technique, and its morphological and structural properties are studied using various characterization tools such as field em... Read More about Highly ordered good crystalline ZnO-doped WO3 thin films suitable for optoelectronic applications..

Utilization of CO2 for syngas production by CH4 partial oxidation using a catalytic membrane reactor. (2019)
Journal Article
SHEHU, H., GOBINA, E. and ORAKWE, I. 2019. Utilization of CO2 for syngas production by CH4 partial oxidation using a catalytic membrane reactor. International journal of hydrogen energy [online], 44(20), pages 9896-9905. Available from: https://doi.org/10.1016/j.ijhydene.2019.02.102

In this research, a synthetic flue gas mixture with added methane was used as the feed gas in the process of dry reforming with partial oxidation of methane using a laboratory scale catalytic membrane reactor to produce hydrogen and carbon monoxide t... Read More about Utilization of CO2 for syngas production by CH4 partial oxidation using a catalytic membrane reactor..