All Outputs (421)

Simulation-Based Evaluation of Low Carbon Design Strategies for Extreme Climates (2023)
Journal Article
Toyo Diaz, A., & Sajjadian, S. M. (2023). Simulation-Based Evaluation of Low Carbon Design Strategies for Extreme Climates. Intelligent Buildings International, 15(5), 191-204. https://doi.org/10.1080/17508975.2024.2303118

Extreme climate conditions present the greatest challenge in achieving thermal comfort in buildings. To address this issue, researchers have evaluated the effectiveness of various low-carbon strategies in extreme climates, assessing their impact on c... Read More about Simulation-Based Evaluation of Low Carbon Design Strategies for Extreme Climates.

Thou Shalt Not Squander Life – Comparing Five Approaches to Argument Strength (2023)
Journal Article
Zenker, F., Dębowska-Kozłowska, K., Godden, D., Selinger, M., & Wells, S. (2023). Thou Shalt Not Squander Life – Comparing Five Approaches to Argument Strength. Studies in Logic, Grammar and Rhetoric, 68(1), 133-167. https://doi.org/10.2478/slgr-2023-0007

Different approaches analyze the strength of a natural language argument in different ways. This paper contrasts the dialectical, structural, probabilistic (or Bayesian), computational, and empirical approaches by exemplarily applying them to a singl... Read More about Thou Shalt Not Squander Life – Comparing Five Approaches to Argument Strength.

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., Ekart, A., Gumpfer, N., Han, A., Lewis, P. R., Marsh, S., & 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/MTS.2023.3341463

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.

Playing with the dead: transmedia narratives and the Walking Dead games (2023)
Book Chapter
Donald, I., & Austin, H. J. (2023). Playing with the dead: transmedia narratives and the Walking Dead games. In R. Yilmaz, M. N. Erdem, & F. Resuloğlu (Eds.), Research anthology on game design, development, usage, and social impact (1435-1456). IGI Global. https://doi.org/10.4018/978-1-6684-7589-8.ch069

This chapter discusses the theory and practice of transmedia narratives within the storyworld created by Robert Kirkman, Tony Moore and Charlie Adlard's comics series The Walking Dead. It examines key aspects from the comics series and AMC's adaptive... Read More about Playing with the dead: transmedia narratives and the Walking Dead games.

A novel end-to-end deep convolutional neural network based skin lesion classification framework (2023)
Journal Article
Sulthana 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.2023.123056

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.

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), 97-110. https://doi.org/10.56433/jpaap.v11i3.588

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. https://doi.org/10.54963/neea.v2i2.170

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.

Net zero in buildings and construction: use and misuse of carbon offsets (2023)
Book Chapter
D'Amico, B., & Pomponi, F. (2024). Net zero in buildings and construction: use and misuse of carbon offsets. In R. Azari, & A. Moncaster (Eds.), The Routledge Handbook of Embodied Carbon in the Built Environment. Routledge. https://doi.org/10.4324/9781003277927-5

The climate change burden associated with buildings and construction is increasingly globally recognised by the many stakeholders involved. For decades there has been an unnecessary divide between the operational and embodied impacts of buildings, wi... Read More about Net zero in buildings and construction: use and misuse of carbon offsets.

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., Brierley, J., Hanisch, B., Khilnani, P., Koutentis, C., Brusletto, B. S., Toufiq, M., Hussain, Z., Vyas, H., Malik, Z. A., Schumacher, M., Malik, R. A., Deshpande, S., Quraishi, N., Kadwa, R., …Hussain, A. (2024). Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review. Informatics in Medicine Unlocked, 44, Article 101419. https://doi.org/10.1016/j.imu.2023.101419

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., Zhao, L., & 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. https://doi.org/10.1109/jsen.2023.3343428

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.

Age of Twin (AoT): A New Digital Twin Qualifier for 6G Ecosystem (2023)
Journal Article
Duran, K., Özdem, M., Hoang, T., Duong, T. Q., & Canberk, B. (2023). Age of Twin (AoT): A New Digital Twin Qualifier for 6G Ecosystem. IEEE Internet of Things Magazine, 6(4), 138-143. https://doi.org/10.1109/iotm.001.2300113

With the enhanced zero-touch operation and service management capabilities of digital twin technology, network management authorities have started implementing digital twin modeling. They achieve descriptive, predictive, and prescriptive twinning wit... Read More about Age of Twin (AoT): A New Digital Twin Qualifier for 6G Ecosystem.

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/10.1111/exsy.13522

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 Networks. Case Studies in Construction Materials, 20, e02794. https://doi.org/10.1016/j.cscm.2023.e02794

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, Article 48. https://doi.org/10.1186/s13595-023-01214-7

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.

Motonormativity: how social norms hide a major public health hazard (2023)
Journal Article
Walker, I., Tapp, A., & Davis, A. (2023). Motonormativity: how social norms hide a major public health hazard. International Journal of Environment and Health, 11(1), 21-33. https://doi.org/10.1504/IJENVH.2023.135446

Decisions about motor transport, by individuals and policy-makers, show unconscious biases due to cultural assumptions about the role of private cars-a phenomenon we term motonormativity. To explore this claim, a national sample of 2157 UK adults rat... Read More about Motonormativity: how social norms hide a major public health hazard.

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., Gogate, M., & 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.

Translated transcription of a focus group with participative councillors, for information literacy research in Brazil (2023)
Data
Ryan, B., & Cruickshank, P. (2023). Translated transcription of a focus group with participative councillors, for information literacy research in Brazil. [Dataset]. https://doi.org/10.17869/enu.2023.3407211

This focus group took place on 24 January 2019, in São Paulo city hall. It was held in English and Portuguese with eight participative councillors, with in situ interpretation. The outcome of the research was a paper presenting an evaluation of the i... Read More about Translated transcription of a focus group with participative councillors, for information literacy research in Brazil.

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., Sun, Y., Hughes, D. J., McNally, T., & Wan, C. (2023). Effective and Fast-Screening Route to Evaluate Dynamic Elastomer-Filler Network Reversibility for Sustainable Rubber Composite Design. ACS sustainable chemistry & engineering, 11, 17857-17869. https://doi.org/10.1021/acssuschemeng.3c06752

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.