All Outputs (424)

Editorial. (2023)
Journal Article
MARR, A., STEED, J. and BRITT, H. 2023. Editorial. Journal of textile design research and practice [online], 11(1-2): revised papers from the 5th Futurescan conference (Futurescan 5): conscious communities, 7-8 September 2022, Leeds, UK, pages 1-5. Available from: https://doi.org/10.1080/20511787.2023.2241834

This editorial introduces issue 1-2 of volume 11 of the Journal of Textile Design Research and Practice. This issue presents revised versions of nine selected papers originally presented at the 5th Futurescan conference (Futurescan 5): conscious comm... Read More about Editorial..

Effective detection of seismic events by non-classical receptive field visual cognitive modelling. (2023)
Journal Article
ZHAO, J., LEI, HAOJIE, LI, YANG, REN, J., SUN, G., ZHAO, H., SHEN, H. and WANG, D. 2023. Effective detection of seismic events by non-classical receptive field visual cognitive modelling. Journal of seismic exploration [online], 32(4), pages 385-406. Available from: http://www.geophysical-press.com/online/Vol32-4_art6.pdf

The detection and up-picking of the seismic events are critical for seismic data analysis and interpretation. Events picking can be used for sequence stratigraphic analysis, reservoir feature extraction, the determining of the subsequent reflection i... Read More about Effective detection of seismic events by non-classical receptive field visual cognitive modelling..

Evaluation of attention-based LSTM and Bi-LSTM networks for abstract text classification in systematic literature review automation. (2023)
Journal Article
OFORI-BOATENG, R., ACEVES-MARTINS, M., JAYNE, C., WIRATUNGA, N. and MORENO-GARCIA, C.F. 2023. Evaluation of attention-based LSTM and Bi-LSTM networks for abstract text classification in systematic literature review automation. Porcedia computer science [online], 222: selected papers from the 2023 International Neural Network Society workshop on deep learning innovations and applications (INNS DLIA 2023), co-located with the 2023 International joint conference on neural networks (IJCNN), 18-32 June 2023, Gold Coast, Australia, pages 114-126. Available from: https://doi.org/10.1016/j.procs.2023.08.149

Systematic Review (SR) presents the highest form of evidence in research for decision and policy-making. Nonetheless, the structured steps involved in carrying out SRs make it demanding for reviewers. Many studies have projected the abstract screenin... Read More about Evaluation of attention-based LSTM and Bi-LSTM networks for abstract text classification in systematic literature review automation..

Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction. (2023)
Journal Article
CAO, J., WANG, S. and FERNANDEZ, C. 2023. Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction. Journal of solid state electrochemistry [online], Online First. Available from: https://doi.org/10.1007/s10008-023-05650-3

Remaining useful life (RUL) of lithium-ion batteries is an important indicator for battery health management, and accurate prediction can promote reliable battery system design, as well as safety and effectiveness of practical use. Therefore, we extr... Read More about Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction..

Um pé dentro e um pé fora: refletindo sobre a colaboração científica internacional. (2023)
Journal Article
ADEFILA, A., SPOLANDER, G. and MAIA, E. 2023. Um pé dentro e um pé fora: refletindo sobre a colaboração científica internacional = One foot in and one foot out: reflecting on international collaboration. Argumentum [online], 15(2), pages 125-137. Available from: https://doi.org/10.47456/argumentum.v15i2.41662

International research collaboration has been steadily increasing as higher education has become more marketised. Though there are many obvious benefits to collaborating internationally, there are also several challenges that are often not critically... Read More about Um pé dentro e um pé fora: refletindo sobre a colaboração científica internacional..

An exploratory study on wind speed profiling of high-rise building/monument using EnviMET. (2023)
Journal Article
ZAKARIA, N.H., SALLEH, S.A., ISA, N.A., CHAN, A., OOI, M.C.G. and ASMAT, A. [2023]. An exploratory study on wind speed profiling of high-rise building/monument using EnviMET. Malaysian construction research journal [online], (accepted). To be made available from: https://www.cream.my/prod/special-issues

Envi-MET is a useful tool for simulating wind speed at building heights and modelling microclimatic conditions around buildings, including wind speed around buildings and other structures. Envi-MET is used in this study to simulate wind speed toward... Read More about An exploratory study on wind speed profiling of high-rise building/monument using EnviMET..

Influence of solids and hydraulic retention times on microbial diversity and removal of estrogens and nonylphenols in a pilot-scale activated sludge plant. (2023)
Journal Article
MENSAH, L., PETRIE, B., SCRIMSHAW, M., CARTMELL, E., FLETTON, M. and CAMPO, P. 2023. Influence of solids and hydraulic retention times on microbial diversity and removal of estrogens and nonylphenols in a pilot-scale activated sludge plant. Heliyon [online], 9(9), article e19461. Available from: https://doi.org/10.1016/j.heliyon.2023.e19461

The removal of EDCs in activated sludge processes can be enhanced by increasing solid and hydraulic retention times (SRT and HRT); it has been suggested that the improvement in removal is due to changes in microbial community structure (MCS). Though... Read More about Influence of solids and hydraulic retention times on microbial diversity and removal of estrogens and nonylphenols in a pilot-scale activated sludge plant..

Enhancing the drilling efficiency through the application of machine learning and optimization algorithm. (2023)
Journal Article
BOUKREDERA, F.S., YOUCEFI, M.R., HADJADJ, A., EZENKWU, C.P., VAZIRI, V. and APHALE, S.S. 2023. Enhancing the drilling efficiency through the application of machine learning and optimization algorithm. Engineering applications of artificial intelligence [online], 126(part C), article 107035. Available from: https://doi.org/10.1016/j.engappai.2023.107035

This article presents a novel Artificial Intelligence (AI) workflow to enhance drilling performance by mitigating the adverse impact of drill-string vibrations on drilling efficiency. The study employs three supervised machine learning (ML) algorithm... Read More about Enhancing the drilling efficiency through the application of machine learning and optimization algorithm..

Mitigating the impact of cross-culture on project team effectiveness in the Nigerian oil and gas industry: the mediating role of organizational culture and project leadership. (2023)
Journal Article
UMUTEME, O.M. and ADEGBITE, W.M. 2023. Mitigating the impact of cross-culture on project team effectiveness in the Nigerian oil and gas industry: the mediating role of organizational culture and project leadership. Social sciences and humanities open [online], 8(1), article 100653. Available from: https://doi.org/10.1016/j.ssaho.2023.100653

This paper investigates the interplay between cross-culture, organisational culture, path-goal leadership, and team effectiveness in Nigerian oil and gas projects. Employing a quantitative research approach with a philosophical assumption between pos... Read More about Mitigating the impact of cross-culture on project team effectiveness in the Nigerian oil and gas industry: the mediating role of organizational culture and project leadership..

A comprehensive review of pre- and post-treatment approaches to achieve sustainable desalination for different water streams. (2023)
Journal Article
POIRIER, K., LOTFI, M., GARG, K., PATCHIGOLLA, K., ANTHONY, E.J., FAISAL, N.H., MULGUNDMATH, V., SAHITH, J.K., JADHAWAR, P., KOH, L., MOROSUK, T. and AL MHANNA, N. 2023. A comprehensive review of pre- and post-treatment approaches to achieve sustainable desalination for different water streams. Desalination [online], 566, article 116944. Available from: https://doi.org/10.1016/j.desal.2023.116944

Desalination is an energy intensive process requiring adequate pre- and post- treatment. The novelty of this paper is that it jointly reviews the technologies for pre-treatment, desalination and post-treatment and bridges the gap between them while c... Read More about A comprehensive review of pre- and post-treatment approaches to achieve sustainable desalination for different water streams..

Lifetime greenhouse gas emissions from offshore hydrogen production. (2023)
Journal Article
DAVIES, A.J. and HASTINGS, A. 2023. Lifetime greenhouse gas emissions from offshore hydrogen production. Energy reports [online], 10, pages 1538-1554. Available from: https://doi.org/10.1016/j.egyr.2023.08.021

With a limited global carbon budget, it is imperative that decarbonisation decisions are based on accurate, holistic accounts of all greenhouse gas (GHG) emissions produced to assess their validity. Here the upstream GHG emissions of potential UK off... Read More about Lifetime greenhouse gas emissions from offshore hydrogen production..

Assessing the impacts of climate variables on long-term air quality trends in Peninsular Malaysia. (2023)
Journal Article
ZHENG, Y., OOI., M.C.G., JUNENG, L., WEE, H.B., LATIF, M.T., NADZIR, M.S.M., HANIF, N.M., CHAN, A., LI, L., AHMAD, N.B., TANGANG, F. 2023. Assessing the impacts of climate variables on long-term air quality trends in Peninsular Malaysia. Science of the total environment [online], 901, article 166430. Available from: https://doi.org/10.1016/j.scitotenv.2023.166430

Climate change is thought to influence the composition of atmospheric air, but little is known about the direct relationship between these variables, especially in a hot tropical climate like that of Malaysia. This work summarizes and analyzes the cl... Read More about Assessing the impacts of climate variables on long-term air quality trends in Peninsular Malaysia..

Hydrodynamic characterisation of fire sprinkler system of a passenger railroad car. (2023)
Journal Article
CRAIG, M., YOUNAS, M. and ASIM, T. 2023. Hydrodynamic characterisation of fire sprinkler system of a passenger railroad car. International journal of condition monitoring and diagnostic engineering management (COMADEM) [online], 26(3), pages 15-23. Available from: https://apscience.org/comadem/index.php/comadem/article/view/403

Fire safety is one of the major concerns in the public transport and thus passenger trains in the UK seek continuous improvement in passenger safety and comfort. In order to combat fire, there is a legal requirement in most countries across the globa... Read More about Hydrodynamic characterisation of fire sprinkler system of a passenger railroad car..

Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries. (2023)
Journal Article
LI, Y., WANG, S., CHEN, L., QI, C. and FERNANDEZ, C. 2023. Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries. Energy [online], 282, article number 128776. Available from: https://doi.org/10.1016/j.energy.2023.128776

High precision state of health (SOH) estimation of lithium-ion batteries (LIBs) is a research hotspot in battery management system (BMS). To achieve this goal, an improved integrated algorithm based on multiple layer kernel extreme learning machine (... Read More about Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries..

Using therapeutic photography in social work: an interpretive phenomenological analysis of the dynamics within a group programme. (2023)
Journal Article
GIBSON, N. 2024. Using therapeutic photography in social work: an interpretive phenomenological analysis of the dynamics within a group programme. British journal of social work [online], 54(1), pages 305-325. Available from: https://doi.org/10.1093/bjsw/bcad196

Therapeutic photography is the practice of using photography in order to explore issues and reach defined outcomes with people who use services. It has been deemed to be an accessible tool which can have a positive impact on self-esteem, self-efficac... Read More about Using therapeutic photography in social work: an interpretive phenomenological analysis of the dynamics within a group programme..

Naturalistic decision making and decision drivers in the front end of complex projects. (2023)
Journal Article
LAWANI, A., FLIN, R., OJO-ADEDOKUN, R.F. and BENTON, P. 2023. Naturalistic decision making and decision drivers in the front end of complex projects. International journal of project management [online], 41(6), article 102502. Available from: https://doi.org/10.1016/j.ijproman.2023.102502

Decision making plays a crucial role in the front end of projects, which is a critical stage for maximising the performance of complex projects. Although it has been suggested that project managers rely more on analytical approaches to decision makin... Read More about Naturalistic decision making and decision drivers in the front end of complex projects..

The memorial afterlives of online crowdsourcing: "Lives of the First World War" at Imperial War Museums. (2023)
Journal Article
FOSTER, A.-M. and WALLIS, J. 2023. The memorial afterlives of online crowdsourcing: "Lives of the First World War" at Imperial War Museums. Public history review [online], 30, pages 89-104. Available from: https://doi.org/10.5130/phrj.v30i0.8048

From May 2014 to March 2019 the Imperial War Museums launched a large-scale digital crowdsourcing project, 'Lives of the First World War'. 'Lives' melded official and unofficial datasets to create an integrated database of people who had participated... Read More about The memorial afterlives of online crowdsourcing: "Lives of the First World War" at Imperial War Museums..

Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm. (2023)
Journal Article
ZHOU, Y., WANG, S., XIE, Y., SHEN, X. and FERNANDEZ, C. 2023. Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm. Energy [online], 285, article 128761. Available from: https://doi.org/10.1016/j.energy.2023.128761

The prediction of SOH for Lithium-ion battery systems determines the safety of Electric vehicles and stationary energy storage devices powered by LIBs. State of health diagnosis and remaining useful life prediction also rely significantly on excellen... Read More about Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm..

A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries. (2023)
Journal Article
SHEN, X., WANG, S., YU, C., QI, C., LI, Z. and FERNANDEZ, C. 2023. A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries. Ionics [online], 29(10), pages 4351-4363. Available from: https://doi.org/10.1007/s11581-023-05147-z

Battery state of charge (SOC) is crucial in power battery management systems for improving the efficiency of battery use and its safety performance. In this paper, we propose a forgotten factor recursive least squares (FFRLS) method based on the belu... Read More about A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries..

Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system. (2023)
Journal Article
RAJAPAKSHA, S., KALUTARAGE, H., AL-KADRI, M.O., PETROVSKI, A. and MADZUDZO, G. 2023. Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system. Journal of information security and applications [online], 77, article number 103570. Available from: https://doi.org/10.1016/j.jisa.2023.103570

Modern automobiles are equipped with a large number of electronic control units (ECUs) to provide safe driver assistance and comfortable services. The controller area network (CAN) provides near real-time data transmission between ECUs with adequate... Read More about Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system..