All Outputs (797)

MCCFNet: multi-channel color fusion network for cognitive classification of traditional Chinese paintings. (2023)
Journal Article
GENG, J., ZHANG, X., YAN, Y., SUN, M., ZHANG, H., ASSAAD, M., REN, J. and LI, X. 2023. MCCFNet: multi-channel color fusion network for cognitive classification of traditional Chinese paintings. Cognitive computation [online],15(6), pages 2050-2061. Available from: https://doi.org/10.1007/s12559-023-10172-1

The computational modeling and analysis of traditional Chinese painting rely heavily on cognitive classification based on visual perception. This approach is crucial for understanding and identifying artworks created by different artists. However, th... Read More about MCCFNet: multi-channel color fusion network for cognitive classification of traditional Chinese paintings..

The current and future role of visual question answering in eXplainable artificial intelligence. (2023)
Presentation / Conference Contribution
CARO-MARTINEZ, M., WIJEKOON, A., DIAZ-AGUDO, B. and RECIO-GARCIA, J.A. 2023. The current and future role of visual question answering in eXplainable artificial intelligence. In Malburg, L. and Verma, D. (eds.) Workshop proceedings of the 31st International conference on case-based reasoning (ICCBR-WS 2023), 17 July 2023, Aberdeen, UK. CEUR workshop proceedings, 3438. Aachen: CEUR-WS [online], pages 172-183. Available from: https://ceur-ws.org/Vol-3438/paper_13.pdf

Over the last few years, we have seen how the interest of the computer science research community on eXplainable Artificial Intelligence has grown in leaps and bounds. The reason behind this rise is the use of Artificial Intelligence in many daily li... Read More about The current and future role of visual question answering in eXplainable artificial intelligence..

Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol. (2023)
Journal Article
MARTINEZ-MARROQUIN, E., CHAU, M., TURNER, M., HAXHIMOLLA, H. and PATERSON, C. 2023. Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol. Systematic reviews [online], 12, article number 126. Available from: https://doi.org/10.1186/s13643-023-02282-6

Variability and inaccuracies in the diagnosis of prostate cancer, and the risk of complications from invasive tests, have been extensively reported in the research literature. To address this, the use of artificial intelligence (AI) has been attracti... Read More about Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol..

CBR assisted context-aware surface realisation for data-to-text generation. (2023)
Presentation / Conference Contribution
UPADHYAY, A. and MASSIE, S. 2023. CBR assisted context-aware surface realisation for data-to-text generation. In MASSIE, S. and CHAKRABORTI, S. (eds.) 2023. Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023, (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science (LNCS), 14141. Cham: Springer [online], pages 34-49. Available from: https://doi.org/10.1007/978-3-031-40177-0_3

Current state-of-the-art neural systems for Data-to-Text Generation (D2T) struggle to generate content from past events with interesting insights. This is because these systems have limited access to historic data and can also hallucinate inaccurate... Read More about CBR assisted context-aware surface realisation for data-to-text generation..

Food insecurity in people living with obesity: improving sustainable and healthier food choices in the retail food environment: the FIO Food project. (2023)
Journal Article
LONNIE, M., HUNTER, E., STONE, R.A., DINEVA, M., AGGREH, M., GREATWOOD, H., JOHNSTONE, A.M. and the FIO Food Team. 2023. Food insecurity in people living with obesity: improving sustainable and healthier food choices in the retail food environment: the FIO Food project. Nutrition bulletin [online], 48(3), pages 390-399. Available from: https://doi.org/10.1111/nbu.12626

At both UK and global level, dietary consumption patterns need to change to address environmental, health and inequality challenges. Despite considerable policy interventions, the prevalence of overweight and obesity in the United Kingdom has continu... Read More about Food insecurity in people living with obesity: improving sustainable and healthier food choices in the retail food environment: the FIO Food project..

AGREE: a feature attribution aggregation framework to address explainer disagreements with alignment metrics. (2023)
Presentation / Conference Contribution
PIRIE, C., WIRATUNGA, N., WIJEKOON, A. and MORENO-GARCIA, C.F. 2023. AGREE: a feature attribution aggregation framework to address explainer disagreements with alignment metrics. In Malburg, L. and Verma, D. (eds.) Workshop proceedings of the 31st International conference on case-based reasoning (ICCBR-WS 2023), 17 July 2023, Aberdeen, UK. CEUR workshop proceedings, 3438. Aachen: CEUR-WS [online], pages 184-199. Available from: https://ceur-ws.org/Vol-3438/paper_14.pdf

As deep learning models become increasingly complex, practitioners are relying more on post hoc explanation methods to understand the decisions of black-box learners. However, there is growing concern about the reliability of feature attribution expl... Read More about AGREE: a feature attribution aggregation framework to address explainer disagreements with alignment metrics..

Hydrogen and the energy transition. (2023)
Presentation / Conference Contribution
ALI, D. 2023. Hydrogen and the energy transition. Presented at the 2023 Glasgow Caledonia University (GCU) Capacity building Erasmus+ workshop, 12 July 2023, Sri Lanka.

To justify and know why we need to use Hydrogen the author detailed the emission briefs which showed the emissions from natural gas decreased by 118 Mt in 2022 due to Ukraine war, coal grew to a new all-time high of all-time high of almost 15.5 Gt. E... Read More about Hydrogen and the energy transition..

Labelled Vulnerability Dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models. (2023)
Presentation / Conference Contribution
SENANAYAKE, J., KALUTARAGE, H., AL-KADRI, M.O., PIRAS, L. and PETROVSKI, A. 2023. Labelled Vulnerability Dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models. In De Capitani di Vimercati, S. and Samarati, P. (eds.) Proceedings of the 20th International conference on security and cryptography, 10-12 July 2023, Rome, Italy, volume 1. Setúbal: SciTePress [online], pages 659-666. Available from: https://doi.org/10.5220/0012060400003555

Ensuring the security of Android applications is a vital and intricate aspect requiring careful consideration during development. Unfortunately, many apps are published without sufficient security measures, possibly due to a lack of early vulnerabili... Read More about Labelled Vulnerability Dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models..

A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. [Dataset] (2023)
Data
WANG, J., GAO, Y., LIU, D., ZOU, G., LI, L., FERNANDEZ, C., ZHANG, Q. and PENG, Q. 2024. A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. [Dataset]. Advanced materials [online], 36(11), article 2304942. Available from: https://doi.org/10.1002/adma.202304942

Sodium (Na) batteries are being considered as prospective candidates for the next generation of secondary batteriesin contrast to lithium-based batteries, due to their high raw material abundance, low cost, and sustainabil... Read More about A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. [Dataset].

A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. (2023)
Journal Article
WANG, J., GAO, Y., LIU, D., ZOU, G., LI, L., FERNANDEZ, C., ZHANG, Q., and PENG, Q. 2024. A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. Advanced materials [online], 36(11), article 2304942. Available from: https://doi.org/10.1002/adma.202304942

Sodium (Na) batteries are being considered as prospective candidates for the next generation of secondary batteries in contrast to lithium-based batteries, due to their high raw material abundance, low cost, and sustainability. However, the unfavorab... Read More about A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries..

Android code vulnerabilities early detection using AI-powered ACVED plugin. (2023)
Presentation / Conference Contribution
SENANAYAKE, J., KALUTARAGE, H., AL-KADRI, M.O., PETROVSKI, A. and PIRAS, L. 2023. Android code vulnerabilities early detection using AI-powered ACVED plugin. In Atluri, V. and Ferrara, A.L. (eds.) Data and applications security and privacy XXXVII; proceedings of the 37th annual IFIP WG (International Federation for Information Processing Working Group) 11.3 Data and applications security and privacy 2023 (DBSec 2023), 19-21 July 2023, Sophia-Antipolis, France. Lecture notes in computer science (LNCS), 13942. Cham: Springer [online], pages 339-357. Available from: https://doi.org/10.1007/978-3-031-37586-6_20

During Android application development, ensuring adequate security is a crucial and intricate aspect. However, many applications are released without adequate security measures due to the lack of vulnerability identification and code verification at... Read More about Android code vulnerabilities early detection using AI-powered ACVED plugin..

Theorising political legitimisation: from stasis to processes. (2023)
Journal Article
DOLAN, P., VERTIGANS, S. and CONNOLLY, J. 2024. Theorising political legitimisation: from stasis to processes. European journal of social theory [online], 27(1), pages 22-40. Available from: https://doi.org/10.1177/13684310231184600

Legitimacy remains a key concept in political sociology, and perhaps even more so in lay understandings of political processes and structures, as evidenced by conflict over territories and regimes around the world. However, the concept suffers from a... Read More about Theorising political legitimisation: from stasis to processes..

Ethical and legal implications of FDI in or near cultural heritage sites. (2023)
Preprint / Working Paper
MAK, C.H.W. 2023. Ethical and legal implications of FDI in or near cultural heritage sites. Columbia FDI perspectives [online], 361. Available from: http://tinyurl.com/2fbvbbnx

Cultural heritage is increasingly recognized as a productive asset. With FDI in or near cultural heritage sites (hotels, restaurants, tour operators) on the rise, many investors are capitalizing on the potential of these sites to generate income. Thi... Read More about Ethical and legal implications of FDI in or near cultural heritage sites..

Large kernel spectral and spatial attention networks for hyperspectral image classification. (2023)
Journal Article
SUN, G., PAN, Z., ZHANG, A., JIA, X., REN, J., FU, H. and YAN, K. 2023. Large kernel spectral and spatial attention networks for hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], 61, article 5519915. Available from: https://doi.org/10.1109/tgrs.2023.3292065

Currently, long-range spectral and spatial dependencies have been widely demonstrated to be essential for hyperspectral image (HSI) classification. Due to the transformer superior ability to exploit long-range representations, the transformer-based m... Read More about Large kernel spectral and spatial attention networks for hyperspectral image classification..

Students' perceptions of a UK physiotherapy student-led clinic. (2023)
Journal Article
WYNNE, D. and COOPER, K. 2023. Students' perceptions of a UK physiotherapy student-led clinic. Clinical teacher [online], 20(6), e13603. Available from: https://doi.org/10.1111/tct.13603

Student-led clinics (SLCs) are a mode of delivery whereby students take responsibility for the delivery of a health service or intervention. SLCs for physiotherapy have a wide range of uses, including enhancement of learning, replacement of clinical... Read More about Students' perceptions of a UK physiotherapy student-led clinic..

Modular 3D interface design for accessible VR applications. (2023)
Presentation / Conference Contribution
GREEN, C., JIANG, Y. and ISAACS, J. 2023. Modular 3D interface design for accessible VR applications. In Chen, J.Y.C. and Fragomeni, G. (eds.) Proceedings of the 15th International conference on virtual, augmented and mixed reality (VAMR 2023), held as part of the 25th Human-computer interactions international conference (HCII 2023), 23-28 July 2023, Copenhagen Denmark. Lecture notes in computer science, 14027. Cham: Springer [online], pages 15-32. Available from: https://doi.org/10.1007/978-3-031-35634-6

Designed with an accessible first design approach, the presented paper describes how exploiting humans' proprioception ability in 3D space can result in a more natural interaction experience when using a 3D graphical user interface in a virtual envir... Read More about Modular 3D interface design for accessible VR applications..

Managing group projects in undergraduate computing. (2023)
Presentation / Conference Contribution
SCOTT, M.J., ALSHAIGY, B., SIEGEL, A.A. and ZARB, M. 2023. Managing group projects in undergraduate computing. Panel presented at the 28th Annual conference on innovation and technology in computer science education (ITiCSE 2023), 8-12 July 2023, Turku, Finland.

This panel convenes four educators, each from different institutions and each with experience managing group projects. Their expertise spans topics including: peer assessment and peer evaluation; entrepreneurship; transdisciplinarity; internationalis... Read More about Managing group projects in undergraduate computing..

An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation. (2023)
Journal Article
HAO, X., WANG, S., FAN, Y., LIANG, Y., WANG, Y. and FERNANDEZ, C. 2023. An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation. Journal of The Electrochemical Society [online], 170(7), article 070507. Available from: https://doi.org/10.1149/1945-7111/acdf8a

Accurate prediction of the remaining range remains a challenge for electric vehicles. The state of energy (SOE) is a state parameter representing the remaining mileage and remaining charge of a lithium-ion battery, which is related to the prediction... Read More about An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation..

Enhancing our knowledge of students' independent learning techniques via a qualitative approach. (2023)
Presentation / Conference Contribution
BREMNER, P.A.M., GOODHAND, K., PIRIE, T. and FORBES-MCKAY, K. 2023. Enhancing our knowledge of students' independent learning techniques via a qualitative approach. Presented at the 2023 Advance HE teaching and learning conference: shaping the future of HE, 4-6 July 2023, Keele, UK.

This presentation seeks to outline the concepts of independent learning (IL) and its importance in the development of lifelong learning amongst a range of staff and students within a Scottish University context. By exploring staff and student perspec... Read More about Enhancing our knowledge of students' independent learning techniques via a qualitative approach..

3D harmonic loss: towards task-consistent and time-friendly 3D object detection on edge for V2X orchestration. (2023)
Journal Article
ZHANG, H., MEKALA, M.S., YANG, D., ISAACS, J., NAIN, Z., PARK, J.H. and JUNG, H.-Y. 2023. 3D harmonic loss: towards task-consistent and time-friendly 3D object detection on edge for V2X orchestration. IEEE transactions on vehicular technology [online], 72(12), pages 15268-15279. Available from: https://doi.org/10.1109/TVT.2023.3291650

The use of edge computing for 3D perception has garnered interest in intelligent transportation systems (ITS) due to its potential to enhance Vehicle-to-Everything (V2X) orchestration through real-time traffic monitoring. The ability to accurately me... Read More about 3D harmonic loss: towards task-consistent and time-friendly 3D object detection on edge for V2X orchestration..