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..

Cost optimisation in offshore wind through procurement data analytics. (2023)
Conference Proceeding
SHITTU, Q. and EZENKWU, C.P. [2024]. Cost optimisation in offshore wind through procurement data analytics. In Proceedings of the 12th Computing conference (Computing 2024), 11-12 July 2024, London, UK. Lecture notes in networks and systems, [volume TBC]. Cham: Springer [online], (forthcoming).

Governments have implemented a variety of national and international efforts to reduce carbon emissions (so as to prevent the damaging effects of climate change on the environment and the global economy) through the execution of several policies, inc... Read More about Cost optimisation in offshore wind through procurement data analytics..

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..

Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. (2023)
Conference Proceeding
STEWART, C., FOUGH, N., ERDOGAN, N. and PRABHU, R. 2023. Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, Valletta, Malta. Piscataway: IEEE [online], pages 110-115. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317266

As the Internet of Things (IoT) continues to find new applications, there is academic and industrial interest in expanding these concepts to the oceanic environment where data is traditionally challenging to communicate wirelessly, establishing an Un... Read More about Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things..

A green AI model selection strategy for computer-aided mpox detection. (2023)
Conference Proceeding
EZENKWU, C.P., STEPHEN, B.U.-A., AFFIAH, I. and DANIEL, B. 2023. A green AI model selection strategy for computer-aided mpox detection. In Proceedings of the 16th IEEE Africon conference (IEEE AFRICON 2023): advancing technology in Africa towards presence on the global stage, 20-22 September 2023, Nairobi, Kenya. Piscataway: IEEE [online], document number 10293707. Available from: https://doi.org/10.1109/AFRICON55910.2023.10293707

With the recent global surge in mpox (formerly monkeypox) cases, researchers have proposed deep learning technologies for early detection of the disease from skin lesion images. However, many of these researchers follow the current Red AI trend of se... Read More about A green AI model selection strategy for computer-aided mpox detection..

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..

Collaborating with a Scottish heritage brand towards enhancing and preserving sustainable artisan hand-weaving practices through a knowledge transfer partnership. (2023)
Journal Article
STEED, J., CROSS, K. and WILSON, B. 2023. Collaborating with a Scottish heritage brand towards enhancing and preserving sustainable artisan hand-weaving practices through a knowledge transfer partnership. 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 127-147. Available from: https://doi.org/10.1080/20511787.2023.2234650

This paper discusses a Knowledge Transfer Project (KTP) with a global Scottish heritage brand, which aimed to develop a year-round sustainable business model through a design-led approach to new product innovation that improves the brand's sustainabi... Read More about Collaborating with a Scottish heritage brand towards enhancing and preserving sustainable artisan hand-weaving practices through a knowledge transfer partnership..

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..

Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections. (2023)
Conference Proceeding
TORAL-QUIJAS, L.A., ELYAN, E., MORENO-GARCÍA, C.F. and STANDER, J. 2023. Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections. In Iliadis, L, Maglogiannis, I., Alonso, S., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 24th International conference on engineering applications of neural networks (EAAAI/EANN 2023), 14-17 June 2023, León, Spain. Communications in computer and information science, 1826. Cham: Springer [online], pages 217-226. Available from: https://doi.org/10.1007/978-3-031-34204-2_19

Inspecting circumferential welds in caissons is a critical task for ensuring the safety and reliability of structures in the offshore industry. However, identifying and classifying different types of circumferential welds can be challenging in subsea... Read More about Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections..

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..