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The stuff we swim in: Regulation alone will not lead to justifiable trust in AI (2023)
Journal Article
Powers, S. T., Linnyk, O., Guckert, M., Hannig, J., Pitt, J., Urquhart, N., …Weber, T. (2023). The stuff we swim in: Regulation alone will not lead to justifiable trust in AI. IEEE technology & society magazine, 42(4), 95-106. https://doi.org/10.1109/MT

Information technology is used ubiquitously and has become an integral part of everyday life. With the ever increasing pervasiveness and persuasiveness of Artificial Intelligence (AI), the function of socio-technical systems changes and must be consi... Read More about The stuff we swim in: Regulation alone will not lead to justifiable trust in AI.

Video Games, Historical Representation and Soft Power (2023)
Journal Article
Donald, I., Webber, N., & Wright, E. (2023). Video Games, Historical Representation and Soft Power. Journal of Gaming and Virtual Worlds, 15(2), 105-127. https://doi.org/10.1386/jgvw_00075_1

This article explores how historical video games have become tools for UK and Chinese ‘soft power’ or ‘public diplomacy’ and the role of historical representation in portraying cultural identity in the global marketplace. In the UK, state support has... Read More about Video Games, Historical Representation and Soft Power.

A novel end-to-end deep convolutional neural network based skin lesion classification framework (2023)
Journal Article
A., R. S., Chamola, V., Hussain, A., Hussain, Z., & Albalwy, F. (2024). A novel end-to-end deep convolutional neural network based skin lesion classification framework. Expert Systems with Applications, 246, Article 123056. https://doi.org/10.1016/j.eswa.

Background: Skin diseases are reported to contribute 1.79% of the global burden of disease. The accurate diagnosis of specific skin diseases is known to be a challenging task due, in part, to variations in skin tone, texture, body hair, etc. Classif... Read More about A novel end-to-end deep convolutional neural network based skin lesion classification framework.

Library catalogue’s search interface: Making the most of subject metadata (2023)
Journal Article
Golub, K., Gnoli, C., Haynes, D., Salaba, A., Shiri, A., & Slavic, A. (in press). Library catalogue’s search interface: Making the most of subject metadata. Knowledge Organization,

This article addresses the underutilization of knowledge organization systems (KOS) elements in online library catalogues, hindering effective subject-based search and discovery. It highlights the International Society for Knowledge Organization's in... Read More about Library catalogue’s search interface: Making the most of subject metadata.

Multi-modal Features Representation-based Convolutional Neural Network Model for Malicious Website Detection (2023)
Journal Article
Alsaedi, M., Ghaleb, F. A., Saeed, F., Ahmad, J., & Alasli, M. (2024). Multi-modal Features Representation-based Convolutional Neural Network Model for Malicious Website Detection. IEEE Access, 12, 7271 - 7284. https://doi.org/10.1109/access.2023.3348071

Web applications have proliferated across various business sectors, serving as essential tools for billions of users in their daily lives activities. However, many of these applications are malicious which is a major threat to Internet users as they... Read More about Multi-modal Features Representation-based Convolutional Neural Network Model for Malicious Website Detection.

Co-creating The Learning and Teaching Journey with Postgraduate Research Students Who Teach (2023)
Journal Article
Dencer-Brown, A., Carlson-Webster, T., Piccio, B., Anderson, C., Adewale, O., & Taylor, S. (2023). Co-creating The Learning and Teaching Journey with Postgraduate Research Students Who Teach. Journal of Perspectives in Applied Academic Practice, 11(3), 97

Post-graduate research students (PGRs) often have teaching roles during their studies with little formal training or support (Lueddeke, 1997). Previous support at Edinburgh Napier University consisted of voluntary, unpaid on-campus Learning and Teach... Read More about Co-creating The Learning and Teaching Journey with Postgraduate Research Students Who Teach.

Assessing the Energy Generation and Economics of Combined Solar PV and Wind Turbine-Based Systems with and without Energy Storage—Scottish Perspective (2023)
Journal Article
Muneer, T., Alam, M., & Dowell, R. (2023). Assessing the Energy Generation and Economics of Combined Solar PV and Wind Turbine-Based Systems with and without Energy Storage—Scottish Perspective. New Energy Exploitation and Application, 2(2), 30-42. http

Solar PV and wind energy conversion are now so economical that they compete head-on with all forms of fossil fuel and nuclear energy conversion. In view of climate change and the rising price of electricity due to wars, all governments are also facin... Read More about Assessing the Energy Generation and Economics of Combined Solar PV and Wind Turbine-Based Systems with and without Energy Storage—Scottish Perspective.

Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review (2023)
Journal Article
Rashid, A., Al-Obeidat, F., Kanthimathinathan, H. K., Benakatti, G., Hafez, W., Ramaiah, R., …Hussain, A. (2024). Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review. Informatics in

Sepsis continues to be recognized as a significant global health challenge across all ages and is characterized by a complex pathophysiology. In this scoping review, PRISMA-ScR guidelines were adhered to, and a transcriptomic methodology was adopted,... Read More about Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review.

Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review (2023)
Journal Article
Hazmy, A. I., Hawbani, A., Wang, X., Al-Dubai, A., Ghannami, A., Yahya, A. A., …Alsamhi, S. H. (2024). Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review. IEEE Sensors Journal, 24(4), 4161-4180. http

Agriculture 4.0 offers the potential to revolutionize the agriculture sector through improved productivity and efficiency. However, adopting Agriculture 4.0 requires a period of transition and effort. Satellite-Airborne sensing technologies may becom... Read More about Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review.

Bare‐Bones particle Swarm optimization‐based quantization for fast and energy efficient convolutional neural networks (2023)
Journal Article
Tmamna, J., Ayed, E. B., Fourati, R., Hussain, A., & Ayed, M. B. (2024). Bare‐Bones particle Swarm optimization‐based quantization for fast and energy efficient convolutional neural networks. Expert Systems, 41(4), Article e13522. https://doi.org/10.1

Neural network quantization is a critical method for reducing memory usage and computational complexity in deep learning models, making them more suitable for deployment on resource-constrained devices. In this article, we propose a method called BBP... Read More about Bare‐Bones particle Swarm optimization‐based quantization for fast and energy efficient convolutional neural networks.

Characteristic and Allowable Compressive Strengths of Dendrocalamus Sericeus Bamboo Culms with/without Node Using Artificial Neural Networks (2023)
Journal Article
Buachart, C., Hansapinyo, C., Sukontasukkul, P., Zhang, H., Sae-Long, W., Chetchotisak, P., & O'Brien, T. E. (2024). Characteristic and Allowable Compressive Strengths of Dendrocalamus Sericeus Bamboo Culms with/without Node Using Artificial Neural Networ

The strength of construction material is a crucial consideration in the process of structural design and construction. Conventional materials such as concrete or steel have been widely utilized due to their predictable material performance. However,... Read More about Characteristic and Allowable Compressive Strengths of Dendrocalamus Sericeus Bamboo Culms with/without Node Using Artificial Neural Networks.

Models to predict the radial variation of stiffness, strength, and density in planted noble fir, Norway spruce, western hemlock, and western red cedar in Great Britain (2023)
Journal Article
Gil-Moreno, D., MClean, J. P., & Ridley-Ellis, D. (2023). Models to predict the radial variation of stiffness, strength, and density in planted noble fir, Norway spruce, western hemlock, and western red cedar in Great Britain. Annals of Forest Science, 80

Key message: This study compares the measured radial variation in wood stiffness, strength, and density of noble fir, Norway spruce, western hemlock, and western red cedar by developing mixed-effects models for each property using age as the explanat... Read More about Models to predict the radial variation of stiffness, strength, and density in planted noble fir, Norway spruce, western hemlock, and western red cedar in Great Britain.

A hybrid dependency-based approach for Urdu sentiment analysis (2023)
Journal Article
Sehar, U., Kanwal, S., Allheeib, N. I., Almari, S., Khan, F., Dashtipur, K., …Khashan, O. A. (2023). A hybrid dependency-based approach for Urdu sentiment analysis. Scientific Reports, 13, Article 22075. https://doi.org/10.1038/s41598-023-48817-8

In the digital age, social media has emerged as a significant platform, generating a vast amount of raw data daily. This data reflects the opinions of individuals from diverse backgrounds, races, cultures, and age groups, spanning a wide range of top... Read More about A hybrid dependency-based approach for Urdu sentiment analysis.

Effective and Fast-Screening Route to Evaluate Dynamic Elastomer-Filler Network Reversibility for Sustainable Rubber Composite Design (2023)
Journal Article
Xia, T., Wemyss, A. M., Salehiyan, R., Heeley, E. L., Hu, X., Tang, F., …Wan, C. (2023). Effective and Fast-Screening Route to Evaluate Dynamic Elastomer-Filler Network Reversibility for Sustainable Rubber Composite Design. ACS sustainable chemistry & e

The introduction of self-healing and reprocessability into conventional vulcanized rubbers has been recognized as a promising strategy to promote elastomer circularity. However, the reversibility and recovery of cross-linking polymer networks have of... Read More about Effective and Fast-Screening Route to Evaluate Dynamic Elastomer-Filler Network Reversibility for Sustainable Rubber Composite Design.

Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces (2023)
Journal Article
Li, W., Buchanan, E., Goff, L. K. L., Hart, E., Hale, M. F., Wei, B., Carlo, M. D., Angus, M., Woolley, R., Gan, Z., Winfield, A. F., Timmis, J., Eiben, A. E., & Tyrrell, A. M. (online). Evaluation of Frameworks That Combine Evolution and Learning to Desi

Jointly optimising both the body and brain of a robot is known to be a challenging task, especially when attempting to evolve designs in simulation that will subsequently be built in the real world. To address this, it is increasingly common to combi... Read More about Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces.

An information literacy lens on community representation for participatory budgeting in Brazil (2023)
Journal Article
Cruickshank, P., & Ryan, B. (2023). An information literacy lens on community representation for participatory budgeting in Brazil. Journal of Information Literacy, 17(2), 46-68. https://doi.org/10.11645/17.2.5

This paper presents an evaluation of the information literacies used by community representatives when engaging with participatory budgeting in São Paulo City, Brazil. Using questions established from context-setting interviews with stakeholders, a f... Read More about An information literacy lens on community representation for participatory budgeting in Brazil.

Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images (2023)
Journal Article
Khan, S. U., Jan, S. U., & Koo, I. (2023). Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images. Sensors, 23(23), Article 9572. https://doi.org/10.3390/s23239572

Epilepsy is a prevalent neurological disorder with considerable risks, including physical impairment and irreversible brain damage from seizures. Given these challenges, the urgency for prompt and accurate seizure detection cannot be overstated. Trad... Read More about Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images.

Facile synthesis: from Laminaria hyperborea to cellulose films and fibers (2023)
Journal Article
Dai, Y., Sun, D., Sundaram, S., Delbusso, A., O’Rourke, D., Dorris, M., & Edirisinghe, M. (2024). Facile synthesis: from Laminaria hyperborea to cellulose films and fibers. Cellulose, 31(1), 205-216. https://doi.org/10.1007/s10570-023-05606-w

Inverted nozzle-pressurized gyration was used as a processing methodology for regenerating cellulose extracted from Laminaria hyperborea for the first time. The viscoelasticity of cellulose/1-ethyl-3-methylimidazolium acetate (EMIM OAc) solutions exh... Read More about Facile synthesis: from Laminaria hyperborea to cellulose films and fibers.

DMF-Net: A Dual-Encoding Multi-Scale Fusion Network for Pavement Crack Detection (2023)
Journal Article
Bai, S., Yang, L., Liu, Y., & Yu, H. (in press). DMF-Net: A Dual-Encoding Multi-Scale Fusion Network for Pavement Crack Detection. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/tits.2023.3331769

Currently, cracks are the most common defect in pavement diseases. Long-term non-maintenance can lead to crack lengthening and expansion, causing serious traffic accidents, as well as shortening the service life of pavement cracks. Therefore, it is o... Read More about DMF-Net: A Dual-Encoding Multi-Scale Fusion Network for Pavement Crack Detection.