Outputs (49)

Cost optimisation in offshore wind through procurement data analytics. (2024)
Presentation / Conference Contribution
SHITTU, Q. and EZENKWU, C.P. 2024. Cost optimisation in offshore wind through procurement data analytics. In Arai, K. (eds.) Intelligent computing: proceedings of the 12th Computing conference 2024 (Computing 2024), 11-12 July 2024, London, UK. Lecture notes in networks and systems, 1019. Cham: Springer [online], volume 4, pages 80-98. Available from: https://doi.org/10.1007/978-3-031-62273-1_6

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..

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?

Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. (2023)
Presentation / Conference Contribution
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)
Presentation / Conference Contribution
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..

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].

Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections. (2023)
Presentation / Conference Contribution
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..

Person recognition based on deep gait: a survey. (2023)
Journal Article
KHALILUZZAMAN, M., UDDIN, A., DEB, K. and HASAN, M.J. 2023. Person recognition based on deep gait: a survey. Sensors [online], 23(10), article 4875. Available from: https://doi.org/10.3390/s23104875

Gait recognition, also known as walking pattern recognition, has expressed deep interest in the computer vision and biometrics community due to its potential to identify individuals from a distance. It has attracted increasing attention due to its po... Read More about Person recognition based on deep gait: a survey..

Rethinking densely connected convolutional networks for diagnosing infectious diseases. (2023)
Journal Article
PODDER, P., ALAM, F.B., MONDAL, M.R.H., HASAN, M.J., ROHAN, A. and BHARATI, S. 2023. Rethinking densely connected convolutional networks for diagnosing infectious diseases. Computers [online], 12(5), article 95. Available from: https://doi.org/10.3390/computers12050095

Due to its high transmissibility, the COVID-19 pandemic has placed an unprecedented burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a valuable and cost-effective tool for detecting and diagnosing COVID-19 patients. I... Read More about Rethinking densely connected convolutional networks for diagnosing infectious diseases..

The energy transition, critical minerals and industrialisation in sub-Saharan Africa: needs, opportunities, and strategies. (2023)
Book Chapter
ACHEAMPONG, T. and MENYEH, B.O. 2023. The energy transition, critical minerals and industrialisation in sub-Saharan Africa. In Nalule, V.R. (eds.) Mining law and governance in Africa: transformation and innovation for a sustainable mining sector. Abingdon: Routledge [online], chapter 2, pages 22-45. Available from: https://doi.org/10.4324/9781003284437-3

The energy transition, evidenced by continuing resolutions to limit fossil fuel production and consumption to tackle climate change, has become one of the most hotly debated contemporary geopolitical issues. On the other hand, Sub-Saharan Africa (SSA... Read More about The energy transition, critical minerals and industrialisation in sub-Saharan Africa: needs, opportunities, and strategies..

Crystal-defect engineering of electrode materials for energy storage and conversion. (2023)
Journal Article
WANG, J., ZHAO, X., ZOU, G., ZHANG, L., HAN, S., LI, Y., LIU, D., FERNANDEZ, C., LI, L., REN, L. and PENG, Q. 2023. Crystal-defect engineering of electrode materials for energy storage and conversion. Materials today nano [online], 22, article number 100336. Available from: https://doi.org/10.1016/j.mtnano.2023.100336

Crystal-defect engineering (CDE) in electrode materials is an emerging research area for tailoring properties, which opens up unprecedented possibilities not only in battery and catalysis, but also in controlling physical, chemical, and electronic pr... Read More about Crystal-defect engineering of electrode materials for energy storage and conversion..

Folklore, people, and places: international perspectives on tourism and tradition in storied places. (2023)
Book
HUNTER, J. and IRONSIDE, R. (eds.) 2023. Folklore, people and places: international perspectives on tourism and tradition in storied places. Abingdon: Routledge [online]. Available from: https://doi.org/10.4324/9781003374138

Folklore, People and Place is a contribution towards better understanding the complex interconnectivity of folklore, people and place, across a range of different cultural and geographical contexts. The book showcases a range of international case st... Read More about Folklore, people, and places: international perspectives on tourism and tradition in storied places..

Model predictive control of connected spacecraft formation. (2022)
Presentation / Conference Contribution
KANNAN, S., BHOWMICK, P. and ALAMDARI, S.A.S. 2022. Model predictive control of connected spacecraft formation. IFAC papers online [online], 55(22): proceedings of the 22nd IFAC (International Federation of Automatic Control) symposium on Automatic control in aerospace 2022 (ACA 2022), 21-25 November 2022, Mumbai, India, pages 322-327. Available from: https://doi.org/10.1016/j.ifacol.2023.03.054

In this contribution the authors discuss the application of Model Predictive Control (MPC) to achieve a connected network formation of spacecrafts. A set of three spacecrafts are used to achieve in-plane formation which are initially in a connected n... Read More about Model predictive control of connected spacecraft formation..

Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. (2022)
Presentation / Conference Contribution
RICA, E., ALVAREZ, S., MORENO-GARCIA, C.F. and SERRATOSA, F. 2022. Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. In Krzyzak, A., Suen, C.Y., Torsello, A. and Nobile, N. (eds.) Structural, syntactic, and statistical pattern recognition: proceedings of the 2022 Joint International Association for Pattern Recognition (IAPR) international workshops on statistical techniques in pattern recognition, and structural and syntactic pattern recognition (S+SSPR 2022), 26-27 August 2022, Montréal, Canada. Lecture notes in computer science, 13813. Cham: Springer [online], pages 274-282. Available from: https://doi.org/10.1007/978-3-031-23028-8_28

Thousands of huge printed sheets depicting engineering drawings keep record of complex industrial structures from Oil & Gas facilities. Currently, there is a trend of digitising these drawings, having as final end the regeneration of the original com... Read More about Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search..

Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM). (2022)
Journal Article
ROHAN, A. 2022. Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM). Sensors [online], 22(23), article 9064. Available from: https://doi.org/10.3390/s22239064

Most methodologies for fault detection and diagnosis in prognostics and health management (PHM) systems use machine learning (ML) or deep learning (DL), in which either some features are extracted beforehand (in the case of typical ML approaches) or... Read More about Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM)..

Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset] (2022)
Data
SEDDIKI, M., BENNADJI, A., ALABID, J., GRAY, D. and DEVECI, G. 2022. Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset]. Buildings [online], 12(10), article 1513. Available from: https://www.mdpi.com/2075-5309/12/10/1513/htm

Many retrofit projects went wrong in the UK principally because of the application of inappropriate retrofit solutions, which resulted in damp issues, with some leaving houses in worse conditions than pre-retrofit. Various online tools were developed... Read More about Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset].

DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution. (2022)
Journal Article
ZHU, L., WANG, J., WANG, Y., JI, Y. and REN, J. 2022. DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution. Sensors [online], 22(17), article 6475. Available from: https://doi.org/10.3390/s22176475

The required navigation performance (RNP) procedure is one of the two basic navigation specifications for the performance-based navigation (PBN) procedure as proposed by the International Civil Aviation Organization (ICAO) through an integration of t... Read More about DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution..

An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries. (2022)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., LI, H., XU, W. and FERNANDEZ, C. 2022. An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries. Energy [online], 260, article 125093. Available from: https://doi.org/10.1016/j.energy.2022.125093

Accurate state of charge (SOC) estimation of lithium-ion batteries by the battery management system (BMS) plays a prominent role in ensuring their reliability, safe operation, and acceptable durability in smart devices, electric vehicles, etc. In thi... Read More about An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries..

A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021. (2022)
Journal Article
PAN, Y., YIN, C., FERNANDEZ, C., FU, L. and LIN, C.-T. 2022. A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021. Polymers [online], 14(15), article 3011. Available from: https://doi.org/10.3390/polym14153011

Flame-retardant science and technology are sciences developed to prevent the occurrence of fire, meet the needs of social safety production, and protect people's lives and property. Rigid polyurethane (PU) is a polymer formed by the additional polyme... Read More about A systematic review and bibliometric analysis of flame-retardant rigid polyurethane foam from 1963 to 2021..

Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero. [Dataset] (2022)
Data
BENNADJI, A., SEDDIKI, M., ALABID, J., LAING, R. and GRAY, D. 2022. Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero. [Dataset]. Energies [online], 15(9), article 3082. Available from: https://doi.org/10.3390/en15093082/s1

Space and water heating for UK homes make up 25% of total energy use and 15% of greenhouse gas emissions. To meet the UK’s ambitious goal of reaching zero emissions from existing buildings in the UK by 2050, by 2030, UK homes’ emissions need to fall... Read More about Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero. [Dataset].