All Outputs (2045)

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..

Decision making in the front end of large-scale projects: a scoping review. (2024)
Presentation / Conference Contribution
ADEDOKUN, R. and LAWANI, A. 2024. Decision making in the front end of large-scale projects: a scoping review. Presented at the 15th IRNOP (International research network on organizing by projects) conference 2024: project management in a sustainable future, 11-14 June 2024, Stockholm, Sweden.

Decisions made by project managers at the front-end stage can have a significant impact on the success of large-scale complex projects, but there appears to be limited evidence on underlying behavioural decision-making processes. The analytical modes... Read More about Decision making in the front end of large-scale projects: a scoping review..

Solar-powered ROV: advancing underwater exploration with renewable energy. (2024)
Presentation / Conference Contribution
LAWAL, S.M., VALIZADEH, S., FOUGH, N. and KANNAN, S. 2024 Solar-powered ROV: advancing underwater exploration with renewable energy. In Proceedings of the 6th Global power, energy and communication conference 2024 (GPECOM2024), 4-6 June 2024, Budapest, Hungary. Piscataway: IEEE [online], pages 350-355. Available from: https://doi.org/10.1109/GPECOM61896.2024.10582562

Considering the importance of remotely operated vehicles (ROVs) in conducting inspections, data collection, and exploration beneath the sea surface, this paper proposes a solar-powered ROV solution. Solar power is employed to power the ROV/AUV, with... Read More about Solar-powered ROV: advancing underwater exploration with renewable energy..

Analyzing efficiency and temperature variations in PSC structures utilizing RbGeBr3. (2024)
Presentation / Conference Contribution
VALIZADEH, S., LAWAL, S.M., FOUGH, N. and SHOKRI, A. 2024. Analyzing efficiency and temperature variations in PSC structures utilizing RbGeBr3. In Proceedings of the 6th Global power, energy and communication conference 2024 (GPECOM2024), 4-6 June 2024, Budapest, Hungary. Piscataway: IEEE [online], pages 334-338. Available from: https://doi.org/10.1109/GPECOM61896.2024.10582665

This paper investigates the utilization of RbGeBr3 as an absorbing layer in two types of perovskite solar cells. The investigation involves systematic adjustments in the thicknesses of both the RbGeBr3 as absorber layer and the electron transfer laye... Read More about Analyzing efficiency and temperature variations in PSC structures utilizing RbGeBr3..

Underwater localization using SAR satellite data. (2024)
Presentation / Conference Contribution
MUHAMMAD, A., FOUGH, N., KANNAN, S. and ZAHRIBAN HESARI, M. 2024. Underwater localization using SAR satellite data. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on metrology for industry 4.0 and IoT (IEEE MetroInd4.0&IoT 2024), 29-31 May 2024, Florence, Italy. Piscataway: IEEE [online], pages 82-87. Available from: https://doi.org/10.1109/MetroInd4.0IoT61288.2024.10584174

This study delves into the realm of Underwater Wireless Sensor Networks (UWSN) and explores contemporary methods of ocean exploration. It provides an extensive background on UWSN, detailing existing approaches to underwater localization. The study th... Read More about Underwater localization using SAR satellite data..

The social work practitioner role and the multifaceted challenges posed by the environmental crisis. (2024)
Presentation / Conference Contribution
ALTENBERGER, I. and GRAHAM, G. 2024. The social work practitioner role and the multifaceted challenges posed by the environmental crisis. Presented at the 2024 United Nations sustainable development goals conference (2024 UN SDG), 29 May 2024, Paisley, UK.

This research aims to explore the level of awareness social work practitioners have about climate change and its potential impact on their profession and to raise awareness and share knowledge about climate change and use coproduction as a tool to co... Read More about The social work practitioner role and the multifaceted challenges posed by the environmental crisis..

Indigenous consultancy and collaborative online international learning: thematic network on collaborative online international learning and biodiversity education across the Arctic Circle (COIL@UArctic). (2024)
Presentation / Conference Contribution
CRAWFORD, I. 2024. Indigenous consultancy and collaborative online international learning: thematic network on collaborative online international learning and biodiversity education across the Arctic Circle (COIL@UArctic). Presented at the 2024 Arctic congress, 29 May - 3 June 2024, Bodø, Norway.

COIL is part of the emerging field of Globally Networked Learning or Virtual Exchange, which involves educational initiatives using technology to facilitate cost-effective communication and collaboration across cultures. This type of experiential le... Read More about Indigenous consultancy and collaborative online international learning: thematic network on collaborative online international learning and biodiversity education across the Arctic Circle (COIL@UArctic)..

Telling the story, of telling the story ... of telling the story. (2024)
Presentation / Conference Contribution
REID, P., PIRIE, E. and IRONSIDE, R. 2024. Telling the story, of telling the story ... of telling the story. Presented at the "Telling the story, of telling the story ... of telling the story" workshop, 29 May 2024, Aberdeen, UK.

This is a workshop held within RGU by Peter Reid, Elliot Pirie and Rachael Ironside. The presenters discuss their recent publication, "Telling the story of telling the story: capturing intangible heritage storytelling on the origins of malt whisky in... Read More about Telling the story, of telling the story ... of telling the story..

Tracking and estimation of surgical tool relative-pose and angle based on the vision system for surgical robot. (2024)
Presentation / Conference Contribution
MUTHUKRISHNAN, R., KANNAN, S., ZHAO, Y. and PRABHU, R. 2024. Tracking and estimation of surgical tool relative-pose and angle based on the vision system for sugical robot. Poster presented at the 3rd Medical device manufacturing centre annual conference 2024 (MDMC 2024), 23 May 2024, Glasgow, UK.

This research presents a Virtual Dynamic Tri crossbar and a Virtual Stable Graph (VDT VSG) which simplifies the task of tracing the needle angle and location in 2 D plane. In addition, Virtual Dynamic Line (helps to quantify the displacement between... Read More about Tracking and estimation of surgical tool relative-pose and angle based on the vision system for surgical robot..

Redefining freebirth as a self-care practice: findings from a systematic qualitative evidence synthesis. (2024)
Presentation / Conference Contribution
VELO HIGUERAS, M., DOUGLAS, F. and KENNEDY, C. 2024. Redefining freebirth as a self-care practice: findings from a systematic qualitative evidence synthesis. Presented at the 2024 Robert Gordon University School of Nursing, Midwifery and Paramedic Practice (SNMPP) postgraduate research symposium, 23 May 2024, Aberdeen, UK.

This poster summarises the findings of a systematic qualitative evidence synthesis on freebirth - the act of giving birth intentionally without a qualified health care professional being present. The study found 22 publications and drew themes of for... Read More about Redefining freebirth as a self-care practice: findings from a systematic qualitative evidence synthesis..

Using emoji to explore midwives' perspectives of freebirth. (2024)
Presentation / Conference Contribution
VELO HIGUERAS, M., DOUGLAS, F. and KENNEDY, C. 2024. Using emoji to explore midwives' perspectives of freebirth. Presented at the 2024 Robert Gordon University School of Nursing, Midwifery and Paramedic Practice (SNMPP) postgraduate research symposium, 23 May 2024, Aberdeen, UK.

Controversial topics unearth deep-seated values about what is right or wrong. In the context of maternity care in high-income countries, freebirth - the deliberate decision to birth without professional attendance - has become one recent controversia... Read More about Using emoji to explore midwives' perspectives of freebirth..

MLM-LSTM: multi-layer memory learning framework based on LSTM for hyperspectral change detection. (2024)
Presentation / Conference Contribution
LI, Y., YAN, Y. and REN, C., LIU, Q. and SUN, H. 2024. MLM-LSTM: multi-layer memory learning framework based on LSTM for hyperspectral change detection. In Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th International conference on Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 51-61. Available from: https://doi.org/10.1007/978-981-97-1417-9_5.

Hyperspectral change detection plays a critical role in remote sensing by leveraging spectral and spatial information for accurate land cover variation identification. Long short-term memory (LSTM) has demonstrated its effectiveness in capturing depe... Read More about MLM-LSTM: multi-layer memory learning framework based on LSTM for hyperspectral change detection..

Segmentation framework for heat loss identification in thermal images: empowering Scottish retrofitting and thermographic survey companies. (2024)
Presentation / Conference Contribution
HASAN, M.J., ELYAN, E., YAN, Y., REN, J. and SARKER, M.M.K. 2024. Segmentation framework for heat loss identification in thermal images: empowering Scottish retrofitting and thermographic survey companies. In Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th International conference on Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 220-228. Available from: https://doi.org/10.1007/978-981-97-1417-9_21

Retrofitting and thermographic survey (TS) companies in Scotland collaborate with social housing providers to tackle fuel poverty. They employ ground-level infrared (IR) camera-based-TSs (GIRTSs) for collecting thermal images to identify the heat los... Read More about Segmentation framework for heat loss identification in thermal images: empowering Scottish retrofitting and thermographic survey companies..

Underwater object detection for smooth and autonomous operations of naval missions: a pilot Dataset. (2024)
Presentation / Conference Contribution
YAN, Y., LI, Y., LIN, H., SARKER, M.M.K., REN, J. and MCCALL, J. 2024. Underwater object detection for smooth and autonomous operations of naval missions: a pilot dataset. In Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th International conference on Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 113-122. Available from: https://doi.org/10.1007/978-981-97-1417-9_11

Underwater object detection is essential for ensuring autonomous naval operations. However, this task is challenging due to the complexities of underwater environments that often degrade image quality, thereby hampering the performance of detection a... Read More about Underwater object detection for smooth and autonomous operations of naval missions: a pilot Dataset..

Image enhancement for UAV visual SLAM applications: analysis and evaluation. (2024)
Presentation / Conference Contribution
TIAN, Y., YUE, H. and REN, J. 2024. Image enhancement for UAV visual SLAM applications: analysis and evaluation. In Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th International conference on Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 51-61. Available from: https://doi.org/10.1007/978-981-97-1417-9_20.

Although simultaneous localisation and mapping (SLAM) has been widely applied in a wide range of robotics and navigation applications, its applicability is severely affected by the quality of the acquired images, especially for those in unmanned aeri... Read More about Image enhancement for UAV visual SLAM applications: analysis and evaluation..

HRMOT: two-step association based multi-object tracking in satellite videos enhanced by high-resolution feature fusion. (2024)
Presentation / Conference Contribution
WU, Y., ZHANG, X., LIU, Q., XUE, D., SUN, H. and REN, J. 2024. HRMOT: two-step association based multi-object tracking in satellite videos enhanced by high-resolution feature fusion. In Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th International conference on Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 251-263. Available from: https://doi.org/10.1007/978-981-97-1417-9_24

Multi-object tracking in satellite videos (SV-MOT) is one of the most challenging tasks in remote sensing, its difficulty mainly comes from the low spatial resolution, small target and extremely complex background. The widely studied multi-object tra... Read More about HRMOT: two-step association based multi-object tracking in satellite videos enhanced by high-resolution feature fusion..

A comparative study of novelty detection models for zero day intrusion detection in industrial Internet of Things. (2024)
Presentation / Conference Contribution
OTOKWALA, U., ARIFEEN, M. and PETROVSKI, A. 2024. A comparative study of novelty detection models for zero day intrusion detection in industrial Internet of Things. In Panoutsos, G., Mihaylova, L.S. and Mahfouf, M. (eds.) Advances in computational intelligence systems: contributions presented at the 21st UK workshop on computational intelligence (UKCCI 2022), 7-9 September 2022, Sheffield, UK. Advances in intelligent systems and computing, 1454. Cham: Springer [online], pages 238-249. Available from: https://doi.org/10.1007/978-3-031-55568-8_20

The detection of zero-day attacks in the IoT network is a challenging task due to unknown security vulnerabilities. Also, the unavailability of the data makes it difficult to train a machine learning (ML) model about new vulnerabilities. The existing... Read More about A comparative study of novelty detection models for zero day intrusion detection in industrial Internet of Things..

Assessing the capabilities of ChatGPT in recognising customer intent in a small training data scenario. (2024)
Presentation / Conference Contribution
EZENKWU, C.P., IBEKE, E. and IWENDI, C. 2024. Assessing the capabilities of ChatGPT in recognising customer intent in a small training data scenario. To be presented at the 3rd International conference on advanced communication and intelligent systems (ICACIS 2024), 16-17 May 2024, New Delhi, India.

This study addresses the issue of recognising customer intent when only limited training data is available. The performance of ChatGPT was evaluated in this scenario, and it was found to be better than traditional machine learning algorithms and the... Read More about Assessing the capabilities of ChatGPT in recognising customer intent in a small training data scenario..

Decarbonising heating and fuel poverty in the UK: causes, policy implications, and the next steps. (2024)
Presentation / Conference Contribution
SINGH, A. and STRACHAN, P. 2024. Decarbonising heating and fuel poverty in the UK: causes, policy implications, and the next steps. Presented at the 2024 All-energy exhibition and conference, 15-16 May 2024, Glasgow, UK.

Fuel poverty occurs when a household cannot afford to adequately heat their home or meet basic energy requirements. National Energy Action’s figures for April 2024, show 6 million UK households are in fuel poverty. Fuel poverty problem needs to be... Read More about Decarbonising heating and fuel poverty in the UK: causes, policy implications, and the next steps..

Enhancing intrusion detection through data perturbation augmentation strategy. (2024)
Presentation / Conference Contribution
OTOKWALA, U.J., PETROVSKIY, A.V. and KOTENKO, I.V. 2024. Enhancing intrusion detection through data perturbation augmentation strategy. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Ural-Siberian conference on biomedical engineering, radioelectronics and information technology (USBEREIT 2024), 13-15 May 2024, Yekaterinburg, Russia. Piscataway: IEEE [online], pages 269-272. Available from: https://doi.org/10.1109/USBEREIT61901.2024.10584007

Intrusion data augmentation is an approach used to increase the size of the training data sample to improve the classification capabilities of machine-learning algorithms applied to intrusion detection. In this study, we introduced data perturbation... Read More about Enhancing intrusion detection through data perturbation augmentation strategy..