All Outputs (2111)

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..

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 (ALL-ENERGY 2024), 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..

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..

Mirrored futures: film presentation / mirroring futures. (2024)
Presentation / Conference Contribution
KELLIE, C. 2024. Mirrored futures: film presentation / mirroring futures. Presented at the 6th Biennial conference of the Petrocultures Research Group (PETROCULTURES 2024: Los Angeles), 15-18 May 2024, Los Angeles, USA.

"Mirrored Futures" is a continuation and expansion of a visual ethnographic film titled "Mirrored Transitions". Produced from archive and found footage, the film was presented at the Byre Theatre in St Andrews. The continuation will explore themes of... Read More about Mirrored futures: film presentation / mirroring futures..

Empowering the next generation of STEM professionals for the energy transition: STEMSpec's innovative approach. (2024)
Presentation / Conference Contribution
ONOJA, O. and EKE, E. 2024. Empowering the next generation of STEM professionals for the energy transition: STEMSpec's innovative approach. Presented at the 2024 All-energy exhibition and conference (ALL-ENERGY 2024), 15-16 May 2024, Glasgow, UK.

The global imperative to achieve decarbonisation and net-zero targets underscores the critical need for a skilled workforce capable of driving the energy transition forward. While significant efforts have been made to establish infrastructures conduc... Read More about Empowering the next generation of STEM professionals for the energy transition: STEMSpec's innovative approach..

Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis. (2024)
Presentation / Conference Contribution
ABDULLAKUTTY, F. and NASEEM, U. 2024. Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis. In Chua, T.-S., Ngo, C.-W., Kumar, R., Lauw, H.W. and Lee, R.K.-W. (eds.). WWW'24 companion: companion proceedings of the ACM web conference 2024, 13-17 May 2024, Singapore. New York: ACM [online], pages 1681-1689. Available from: https://doi.org/10.1145/3589335.3652504

Memes are important because they serve as conduits for expressing emotions, opinions, and social commentary online, providing valuable insight into public sentiment, trends, and social interactions. By combining textual and visual elements, multi-mod... Read More about Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis..

Embracing modernity while preserving tradition final presentation. (2024)
Presentation / Conference Contribution
MENYEH, B.O. 2024. Embracing modernity while preserving tradition final presentation. Presented at the 2024 African heritage day conference, 9 May 2024, Lincon, UK.

This presentation examines the critical balance between preserving African culinary heritage and the global imperative for sustainability through the adoption of modern, low-emission cooking technologies. African cooking traditions, with their rich c... Read More about Embracing modernity while preserving tradition final presentation..

Localizing human rights in a globalizing world: the challenge for Africa. (2024)
Presentation / Conference Contribution
MARTZOUKOU, K.D., OKOGBULE, N.S. and RODRIGUEZ-BLANCO, V. 2024. Localizing human rights in a globalizing world: the challenge for Africa. Presented at the 5th Cross-cultural conversation of the Interdisciplinary Forum for the Study of Jurisprudence and Value Inquiry in the Non-Western World (JVI), 8 May 2024, Aberdeen, UK.

This seminar was the fifth meeting or cross-cultural conversation (CCC) organised by the Interdisciplinary Forum for the Study of Jurisprudence and Value Inquiry in the Non-Western World (JVI), convened by Olufemi Ilesanmi. This particular event, mod... Read More about Localizing human rights in a globalizing world: the challenge for Africa..

Redefining freebirth as a reproductive justice issue. (2024)
Presentation / Conference Contribution
VELO HIGUERAS, M., DOUGLAS, F. and KENNEDY, C. 2024. Redefining freebirth as a reproductive justice issue. Presented at the 2024 Virtual International Day of the Midwife conference (VIDM 2024), 4-5 May 2024, [virtual event].

Freebirth or unassisted birth is currently defined as the deliberate choice to give birth without a regulated healthcare professional in countries where maternity care is available and easily accessible. Empirical evidence on this practice is limited... Read More about Redefining freebirth as a reproductive justice issue..

Understanding lived experiences of navigating supermarket foodscapes of people living with obesity on a low income: the Food insecurity in people living with obesity (FIO) food project. (2024)
Presentation / Conference Contribution
DOUGLAS, F. and HUNTER, E., on behalf of the FIO Food Team. 2024. Understanding lived experiences of navigating supermarket foodscapes of people living with obesity on a low income: the Food insecurity in people living with obesity (FIO) food project. Presented at 2024 Scottish public health conference: inspiring change, 1 May 2024, Glasgow, UK.

Approximately 8 million adults and 3 million children in the UK are experiencing food insecurity in 2024. In the UK, healthier foods are three times more expensive per calorie than unhealthy foods. This limits dietary choices to a low-price, high-ene... Read More about Understanding lived experiences of navigating supermarket foodscapes of people living with obesity on a low income: the Food insecurity in people living with obesity (FIO) food project..

Uncovering the darkside of entrepreneurship in Nigeria, through a gendered lens. (2024)
Presentation / Conference Contribution
ONOSHAKPOR, C., IRENE, B., CHUKWUMA-NWUBA, E.O., SINDANI, T., DEWITT, S. and FELIX-FAURE, C. 2024. Uncovering the darkside of entrepreneurship in Nigeria, through a gendered lens. Presented at the 38th British Academy of Management conference 2024 (BAM2024): achieving transformation for greater good; societal, organisational and personal barriers and enablers, 2-6 September 2024, Nottingham, UK. London: British Academy of Management [online], paper 891. To be made available from: https://www.bam.ac.uk/conference-proceedings.html

Mainstream entrepreneurship literature highlights mainly the positive aspects of entrepreneurship, which sometimes may be misleading as there are arguably positives and negatives with everything in life. This presents false hope for those interested... Read More about Uncovering the darkside of entrepreneurship in Nigeria, through a gendered lens..

Student pharmacists' experiences of interprofessional education during experiential learning placements. (2024)
Presentation / Conference Contribution
DEPASQUALE, C., ARNOLD, A., CUNNINGHAM, S., KERR, A., JACOB, S.A., BOYTER, A., POWER, A., BOYD, M. and ADDISON, B. 2024. Student pharmacists' experiences of interprofessional education during experiential learning placements. 2024 NES (NHS Education for Scotland) annual virtual conference, 25-26 April 2024, [virtual conference], [online], poster 125. Available from: https://tinyurl.com/ms5u6ne9

Interprofessional education (IPE) is viewed as essential to prepare a collaborative practice-ready healthcare workforce. This study aimed to explore student pharmacists' experiences of IPE during experiential learning (EL) placements in various prac... Read More about Student pharmacists' experiences of interprofessional education during experiential learning placements..

Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship. (2024)
Presentation / Conference Contribution
TONNA, A.P., DAMANT, G., FLEMING, N. and MARTIN, S., on behalf of NAPEG (National Antimicrobial Stewardship Pharmacy Education Group). 2024. Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship. Poster presented at the 2024 NES (NHS education for Scotland) annual virtual conference: developing a compassionate, skilled and sustainable workforce through innovative education and technology, 25-26 April 2024, [virtual event].

Competency-based teaching, learning and assessment underpins the requirements for initial training and education of pharmacists in the UK and is set by the General Pharmaceutical Council. This pedagogic approach is conducive when teaching antimicrobi... Read More about Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship..

MADONNA: browser-based malicious domain detection through optimized neural network with feature analysis. (2024)
Presentation / Conference Contribution
SENANAYAKE, J., RAJAPAKSHA, S., YANAI, N., KOMIYA, C. and KALUTARAGE, H. 2024. MADONNA: browser-based malicious domain detection through optimized neural network with feature analysis. In Meyer, N. and Grocholewska-Czuryło, A. (eds.) Revised selected papers from the proceedings of the 38th International conference on ICT systems security and privacy protection (IFIP SEC 2023), 14-16 June 2023, Poznan, Poland. IFIP advances in information and communication technology, 679. Cham: Springer [online], pages 279-292. Available from: https://doi.org/10.1007/978-3-031-56326-3_20

The detection of malicious domains often relies on machine learning (ML), and proposals for browser-based detection of malicious domains with high throughput have been put forward in recent years. However, existing methods suffer from limited accurac... Read More about MADONNA: browser-based malicious domain detection through optimized neural network with feature analysis..