Outputs (261)

Interfacial engineering of MoxSy via Boron‐doping for electrochemical N2‐to‐NH3 conversion. (2024)
Journal Article
ALSABBAN, M.M., PERAMAIAH, K., GENOVESE, A., AHMAD, R., AZOFRA, L.M., RAMALINGAM, V., HEDHILI, M.N., WEHBE, N., CAVALLO, L. and HUANG, K.-W. [2024]. Interfacial engineering of MoxSy via Boron-doping for electrochemical N2-to-NH3 conversion. Advanced materials [online], Early View. Available from: https://doi.org/10.1002/adma.202405578

The electrocatalytic synthesis of ammonia (NH3) through the nitrogen reduction reaction (NRR) under ambient temperature and pressure is emerging as an alternative approach to the conventional Haber–Bosch process. However, it remains a significant cha... Read More about Interfacial engineering of MoxSy via Boron‐doping for electrochemical N2‐to‐NH3 conversion..

Promoting accountability and transparency in the governance of renewable energy transition in developing nations. (2024)
Presentation / Conference Contribution
ADEDOKUN, R., STRACHAN, P. and SINGH, A. 2024. Promoting accountability and transparency in the governance of renewable energy transition in developing nations. Poster presented at the 2024 All-energy exhibition and conference, 15-16 May 2024, Glasgow, UK.

COP28 concluded with the need for an enhanced transparency framework to ensure progress towards achieving Countries' Nationally Determined Contributions. This requires the tripling of global renewable energy capacity by 2030 to reach net-zero emissio... Read More about Promoting accountability and transparency in the governance of renewable energy transition in developing nations..

Transdisciplinary and arts-centred approaches to stewardship and sustainability of urban nature. (2024)
Journal Article
CAMPBELL, L.K., FREMANTLE, C., MADDOX, D., SVENDSEN, E., HINES, S., MATTINGLY, M., LÓPEZ-JENSEN, M., LINDT, N., PAQUEO, L. and JOHNSON, M. 2024. Transdisciplinary and arts-centred approaches to stewardship and sustainability of urban nature. Landscape research [online], Latest Articles. Available from: https://doi.org/10.1080/01426397.2024.2325507

This paper explores case studies of how artists working with scientists and land managers affiliated with the Urban Field Station Collaborative Arts Program (UFS Arts) are fostering new relations of care with urban nature and thereby informing landsc... Read More about Transdisciplinary and arts-centred approaches to stewardship and sustainability of urban nature..

Advancing AI with green practices and adaptable solutions for the future. [Article summary] (2024)
Digital Artefact
STARKEY, A. and EZENKWU, C.P. 2024. Advancing AI with green practices and adaptable solutions for the future. [Article summary]. Posted on The Academic [online], 28 March 2024. Available from: https://theacademic.com/ai-green-practices-adaptable-solutions/

Despite AI's achievements, how can its limitations be addressed to reduce computational costs, enhance transparency and pioneer eco-friendly practices?

Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies. (2024)
Journal Article
EZENKWU, C.P., CANNON, S. and IBEKE, E. 2024. Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies. Environmental monitoring and assessment [online], 196(3), article number 231. Available from: https://doi.org/10.1007/s10661-024-12388-6

Across the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments' carbon reduction policies can significantly enhance our ability to combat climate change... Read More about Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies..

Immersive innovations for the communication of heritage, handcraft and sustainability. (2023)
Journal Article
CROSS, K., MESJAR, L., STEED, J. and JIANG, Y. [2023]. Immersive innovations for the communication of heritage, handcraft and sustainability. International journal of fashion design, technology and education [online], Latest Articles. Available from: https://doi.org/10.1080/17543266.2023.2277264

Textile and fashion brands convey core values through marketing, and in slow-fashion heritage brands this often includes skilled craftsmanship, authenticity, sustainability and provenance. As industry digitalisation continues, brands are employing im... Read More about Immersive innovations for the communication of heritage, handcraft and sustainability..

Thinking with the Harrisons. (2023)
Book
DOUGLAS, A. and FREMANTLE, C. [2024]. Thinking with the Harrisons. Leuven: Leuven University Press. (Forthcoming)

This book asks a fundamental question around the place of the arts in the global environmental crises. In arguing that the arts have an important role, we are also suggesting that the arts need to be rethought, reimagined and reconfigured through new... Read More about Thinking with the Harrisons..

Exploring the essence and extent of 'mutual trust and co-operation'. [Blog post] (2023)
Digital Artefact
MANTE, J. 2023. Exploring the essence and extent of 'mutual trust and co-operation'. [Blog post]. Posted on NEC: news [online], 23 October 2023. Available from: https://www.neccontract.com/news/exploring-the-essence-and-extent-of-mutual-trust-and-co-operation

Recent court decisions have equated the NEC clause 10 'mutual trust and co-operation' duty to good faith, but good faith is a much broader concept. Part of the English courts' approach to good faith has been to rely on common law and equitable princi... Read More about Exploring the essence and extent of 'mutual trust and co-operation'. [Blog post].

Computational fluid dynamics simulation of natural gas hydrate sloughing and pipewall shedding temperature profile: implications for CO2 transportation in subsea pipeline. (2023)
Journal Article
UMUTEME, O.M., ISLAM, S.Z., HOSSAIN, M. and KARNIK, A. 2023. Computational fluid dynamics simulation of natural gas hydrate sloughing and pipewall shedding temperature profile: implications for CO2 transportation in subsea pipeline. Gas science and engineering [online], 116, article number 205048. Available from: https://doi.org/10.1016/j.jgsce.2023.205048

The continuous flow assurance in subsea gas pipelines relies heavily on the assessment of temperature profile during hydrate sloughing and pipewall shedding caused by hydrates, with similar implications for carbon dioxide (CO2) transportation under h... Read More about Computational fluid dynamics simulation of natural gas hydrate sloughing and pipewall shedding temperature profile: implications for CO2 transportation in subsea pipeline..

State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature. (2023)
Journal Article
LIU, D., WANG, S., FAN, Y., LIANG, Y., FERNANDEZ, C., STROE, D.I. 2023. State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature. Journal of energy storage [online], 70, article 108040. Available from: https://doi.org/10.1016/j.est.2023.108040

As the main energy storage component of electric vehicles (EV), lithium-ion battery state estimation is an essential part of the battery management system (BMS). State of Energy (SOE) is one of the important state parameters, and its accurate estimat... Read More about State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature..

Developing a virtual engineering lab using ADDIE model. (2023)
Journal Article
AMISH, M. and JIHAN. S. 2023. Developing a virtual engineering lab using ADDIE model. Journal of e-learning research [online], 2(1), pages 50-69. Available from: https://doi.org/10.33422/jelr.v2i1.417

In recent years, digital competence has become essential at the workplace. There is a growing demand for engineers with both employability and digital skills. As a result of the technological advancements, the Virtual Laboratory (VLab) concept was cr... Read More about Developing a virtual engineering lab using ADDIE model..

Influence of feedstock and thermal spray process on the phase composition of alumina coatings and their sliding wear. (2023)
Journal Article
ALI, O., AHMED, R., TOMA, F.-L., BERGER, L.-M., MATTHEY, B., FAISAL, N. and AHMED, K. 2023. Influence of feedstock and thermal spray process on the phase composition of alumina coatings and their sliding wear. Journal of thermal spray technology [online], 32(7), pages 2028-2053. Available from: https://doi.org/10.1007/s11666-023-01597-z

Suspension thermal spraying is an emerging coating technology that enables the deposition of dense-structured ceramic coatings. As wear resistance is a main application field of alumina (Al2O3) coatings, this study aimed to evaluate the dry reciproca... Read More about Influence of feedstock and thermal spray process on the phase composition of alumina coatings and their sliding wear..

An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. (2023)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., JIN, S., LIU, K. and FERNANDEZ, C. 2023. An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. Journal of energy storage [online], 70, article 108038. Available from: https://doi.org/10.1016/j.est.2023.108038

Capacity estimation plays a significant role in ensuring safe and acceptable energy delivery, especially under real-time complex working conditions for whole-life-cycle lithium-ion batteries. For high-precision and robust capacity estimation, an impr... Read More about An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics..

Development of predictive optimization model for autonomous rotary drilling system using machine learning approach. (2023)
Journal Article
AMADI, K., IYALLA, I., PRABHU, R., ALSABA, M. and WALY, M. 2023. Development of predictive optimization model for autonomous rotary drilling system using machine learning approach. Journal of petroleum exploration and production technology [online], 13(10), pages 2049-2062. Available from: https://doi.org/10.1007/s13202-023-01656-9

The growing global energy demand and strict environmental policies motivate the use of technology and performance improvement techniques in drilling operations. In the traditional drilling method, the effort and time required to optimize drilling dep... Read More about Development of predictive optimization model for autonomous rotary drilling system using machine learning approach..

Investigating the potential of renewable-hydrogen energy storage systems (RHES) in enabling Scotland’s farming communities net-zero transition and sizing the proposed RHES system. (2023)
Journal Article
AL-ALI, H., ALI, D. and ATTEYA, A.I. 2023. Investigating the potential of renewable-hydrogen energy storage systems (RHES) in enabling Scotland’s farming communities net-zero transition and sizing the proposed RHES system. Green energy and environmental technology [online], 2, pages 1-32. Available from: https://doi.org/10.5772/geet.16

Renewable-hydrogen (H2) is a key component in Scotland's decarbonisation plans and its implementation in farming communities can support achieving net-zero goals. HydroGlen, a demonstrative renewable-powered farming community at Glensaugh, is used as... Read More about Investigating the potential of renewable-hydrogen energy storage systems (RHES) in enabling Scotland’s farming communities net-zero transition and sizing the proposed RHES system..

Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. (2023)
Journal Article
ZHANG, M., WANG, S., XIE, Y., YANG, X., HAO, X. and FERNANDEZ, C. 2023. Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. Ionics [online], 29(9), pages 3597-3607. Available from: https://doi.org/10.1007/s11581-023-05072-1

The prediction of remaining useful life (RUL) of lithium-ion batteries takes a critical effect in the battery management system, and precise prediction of RUL guarantees the secure and reliable functioning of batteries. For the difficult problem of s... Read More about Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries..

Investigation on mechanical and thermal properties of 3D-printed polyamide 6, graphene oxide and glass-fibre-reinforced composites under dry, wet and high temperature conditions. (2023)
Journal Article
ICHAKPA, M., GOODYEAR, M., DUTHIE, J., DUTHIE, M., WISELY, R., MACPHERSON, A., KEYTE, J., PANCHOLI, K. and NJUGUNA, J. 2023. Investigation on mechanical and thermal properties of 3d-printed polyamide 6, graphene oxide and glass-fibre-reinforced composites under dry, wet and high temperature conditions. Journal of composites science [online], 7(6), article 227. Available from: https://doi.org/10.3390/jcs7060227

This study is focused on 3D printing of polyamide 6 (PA6), PA6/graphene oxide (PA6/GO) and PA6/glass-fibre-reinforced (PA6/GF) composites. The effect of graphene oxide and glass-fibre reinforcement on 3D-printed PA6 is explored for improvement of the... Read More about Investigation on mechanical and thermal properties of 3D-printed polyamide 6, graphene oxide and glass-fibre-reinforced composites under dry, wet and high temperature conditions..

DEFEG: deep ensemble with weighted feature generation. (2023)
Journal Article
LUONG, A.V., NGUYEN, T.T., HAN, K., VU, T.H., MCCALL, J. and LIEW, A.W.-C. 2023. DEFEG: deep ensemble with weighted feature generation. Knowledge-based systems [online], 275, article 110691. Available from: https://doi.org/10.1016/j.knosys.2023.110691

With the significant breakthrough of Deep Neural Networks in recent years, multi-layer architecture has influenced other sub-fields of machine learning including ensemble learning. In 2017, Zhou and Feng introduced a deep random forest called gcFores... Read More about DEFEG: deep ensemble with weighted feature generation..

High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering. (2023)
Journal Article
FENG, R., WANG, S., YU, C., ZHOU, H. and FERNANDEZ, C. 2023. High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering. Journal of The Electrochemical Society [online], 170(5), article 050539. Available from: https://doi.org/10.1149/1945-7111/acd303

It is significant to improve the accuracy of estimating the state of charge (SOC) of lithium-ion batteries under different working conditions on urban roads. In this study, an improved second-order polarized equivalent circuit (SO-PEC) modeling metho... Read More about High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering..

A rough Dombi Bonferroni based approach for public charging station type selection. (2023)
Journal Article
DEVECI, M., ERDOGAN, N., PAMUCAR, D., KUCUKSARI, S. and CALI, U. 2023. A rough Dombi Bonferroni based approach for public charging station type selection. Applied energy [online], 345, article 121258. Available from: https://doi.org/10.1016/j.apenergy.2023.121258

As the transition to electric mobility accelerates, charging infrastructure is rapidly expanding. Publicly accessible chargers, also known as electric vehicle supply equipment (EVSE), are critical not only for further promoting the transition but als... Read More about A rough Dombi Bonferroni based approach for public charging station type selection..