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All Outputs (505)

Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice (2024)
Book Chapter
Donald, I., Austin, H., & Pittner, F. Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice. In Battle Lines Drawn: War Comics since 1914

This abstract discusses how war comics portray the historical record through a theoretical and conceptual textual model - the 3A Framework (3AF) which considers the representation of historical accuracy, authenticity and account (Donald & Reid, 2023)... Read More about Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice.

Bioplastic Based Multifunctional Conductive Blend Nanocomposites (2024)
Book Chapter
Salehiyan, R., & Soleymani Eil Bakhtiari, S. (2024). Bioplastic Based Multifunctional Conductive Blend Nanocomposites. In Reference Module in Materials Science and Materials Engineering. Elsevier. https://doi.org/10.1016/b978-0-323-95486-0.00064-8

Bio-based plastics have become popular among researchers and industries due to their potential contributions towards a more sustainable environment. Up to date, there have been numerous studies around development of bioplastics and their future appli... Read More about Bioplastic Based Multifunctional Conductive Blend Nanocomposites.

Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines (2024)
Book Chapter
Demeke, W. (2024). Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines. In Transforming School Systems Through Assessment, Technology, and Non-Traditional Learning Methods (101-130). IGI Global. https://doi.org/10.4018/979-8-3693-8130-4.ch005

Social media's integration into higher education is profound, serving as a dynamic tool for enhancing teaching and learning processes. While social media platforms like YouTube and Instagram cater to both educational content and social connectivity,... Read More about Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines.

‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise (2024)
Book Chapter
Donald, I. ‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise. In The Interactive Past Re-Imagined: New Horizons of Video Games, History, and Archaeology. Sidestone Press

In 2023 witnessed a seismic shift in the world of virtual football as the licensing agreement between EA Sports and FIFA (the governing body of football) that had existed since 1993 came to an end and it was announced that going forward FIFA (the gam... Read More about ‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise.

An Overview of Electrical Vehicle and Smart Grid Technology (2024)
Book Chapter
Mas’ud, A. A., Wirba, A. V., Muhammad Sukki, F., & Sha’aban, Y. A. (2024). An Overview of Electrical Vehicle and Smart Grid Technology. In A. Yunusa-Kaltungo (Ed.), Key Themes in Energy Management (71-90). Springer Publishing Company. https://doi.org/10.1007/978-3-031-58086-4_5

This chapter provides a comprehensive analysis of the present state of knowledge regarding future interactions between electric vehicles (EVs) and the smart grid. In particular, the integration of smart infrastructure with renewable energy sources (R... Read More about An Overview of Electrical Vehicle and Smart Grid Technology.

Timber And Wood-based products (2024)
Book Chapter
D'Amico, B. (2024). Timber And Wood-based products. In F. Fu, & D. Richardson (Eds.), Structural Design of Buildings: Elemental Design (77-119). ICE Publishing. https://doi.org/10.1680/sdb.95735.077

Timber has been used as a structural material for many centuries and a renewed interest in (and calls for) a greater use in construction is now observed. This has been mostly the result of an increasingly wider body of literature claiming the superio... Read More about Timber And Wood-based products.

Attaining Ambidexterity in Construction Organisations through Digitalisation (2024)
Book Chapter
Aghimien, D., Montalvo, L. Z., Osunsanmi, T., Aigbavboa, C., & Taki, A. (2024). Attaining Ambidexterity in Construction Organisations through Digitalisation. In T. Omotayo, O. Ogunmakinde, T. Egbelakin, & A. Sojobi (Eds.), Innovations, Disruptions and Future Trends in the Global Construction Industry (215-232). Routledge. https://doi.org/10.1201/9781003372233-19

In an ever-changing construction environment shaped by pervasive digital technologies, the role of digitalisation in ensuring effective exploitation and exploration (ambidexterity) of available opportunities cannot be overlooked. Leveraging digital t... Read More about Attaining Ambidexterity in Construction Organisations through Digitalisation.

Data-driven innovation for sustainable practice in the creative economy (2024)
Book Chapter
Panneels, I., Lechelt, S., Schmidt, A., & Coşkun, A. (2024). Data-driven innovation for sustainable practice in the creative economy. In Data Driven Innovation in the Creative Industries (243-266). Routledge. https://doi.org/10.4324/9781003365891-11

Can data-driven innovation support the shift towards a more sustainable future? In this chapter, we present case studies from eight European cities to demonstrate how the creative sector is moving towards economic models that expand beyond the notion... Read More about Data-driven innovation for sustainable practice in the creative economy.

Digital and data literacy (2024)
Book Chapter
Osborne, N., Helgason, I., Lechelt, S., Michielin, L., Panneels, I., Parkinson, C., Smyth, M., Ross, J., Sulaiman, Y., & Warren, K. (2024). Digital and data literacy. In Data Driven Innovation in the Creative Industries (71-100). Routledge. https://doi.org/10.4324/9781003365891-4

In this chapter we explore models for training and upskilling people in the creative industries in data, technology and entrepreneurial skills, situating this in the wider skills and training context. We will particularly look at the challenges of de... Read More about Digital and data literacy.

Ecosystems and partnerships (2024)
Book Chapter
Panneels, I., Jones, C., Parkinson, C., Komorowski, M., & Orme, A. (2024). Ecosystems and partnerships. In Data-Driven Innovation in the Creative Industries (23-45). London, UK: Routledge. https://doi.org/10.4324/9781003365891-2

What are the ecosystems and partnerships required to enable data-driven innovation to be taken up in the creative industries? This chapter discusses how ecosystems enable different forms of innovation through partnership networks in the creative indu... Read More about Ecosystems and partnerships.

Timber (2024)
Book Chapter
Cramer, M., & Tamagnone, G. (2024). Timber. In H. Hartman, & J. Jack Williams (Eds.), Materials: An environmental primer (230-253). RIBA

Federated Learning for Market Surveillance (2024)
Book Chapter
Song, P., Kanwal, S., Dashtipour, K., & Gogate, M. (2024). Federated Learning for Market Surveillance. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (199-218). Springer. https://doi.org/10.1007/978-3-031-47590-0_10

The data utilized in market surveillance is highly sensitive; what may be available for machine learning is limited. In this paper, we examine how federated learning for time series data can be used to identify potential market abuse while maintainin... Read More about Federated Learning for Market Surveillance.

Statistical Downscaling Modeling for Temperature Prediction (2024)
Book Chapter
Ashraf, Z., Kanwal, B., Hussain, I., Dashtipour, K., Gogate, M., & Kanwal, S. (2024). Statistical Downscaling Modeling for Temperature Prediction. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (147-169). Springer. https://doi.org/10.1007/978-3-031-47590-0_8

The application compares the Statistical Downscaling Model (SDSM) and partial least square (PLS) to bridge the gap between (minimum and maximum) daily temperatures of 11 sites in Punjab between 1961 and 2013 with atmospheric variables. The data set w... Read More about Statistical Downscaling Modeling for Temperature Prediction.

Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan (2024)
Book Chapter
Kanwal, B., Ashraf, Z., Mehmood, T., Kanwal, S., Dashtipour, K., & Gogate, M. (2024). Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan. In W. Boulila, J. Ahmad, A. Koubaa, M. Driss, & I. Riadh Farah (Eds.), Decision Making and Security Risk Management for IoT Environments (99-124). Springer. https://doi.org/10.1007/978-3-031-47590-0_6

Climate study often relies upon global climate models (GCM) to project future scenarios of change in climate behavior. This study aims to refine GCM results to fill the gap between local scale surface weather with regional atmospheric predictors. The... Read More about Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan.

MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics (2024)
Book Chapter
Arehart, C. H., Arehart, J. H., David, M. Z., D'Amico, B., Sozzi, E., Dukic, V., & Pomponi, F. (in press). MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics. In B. Sriraman (Ed.), Handbook of Visual, Experimental and Computational Mathematics - Bridges through Data (1-29). Springer. https://doi.org/10.1007/978-3-030-93954-0_2-1

During the global COVID-19 pandemic, policy makers, public health practitioners, medical experts, and laypersons have sought data that would enable evidence-based decisions about which interventions would be most effective at slowing the spread of SA... Read More about MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics.

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.

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.

Machine Learning for Smart Healthcare Management Using IoT (2023)
Book Chapter
Yigit, Y., Duran, K., Moradpoor, N., Maglaras, L., Van Huynh, N., & Canberk, B. (in press). Machine Learning for Smart Healthcare Management Using IoT. In IoT and ML for Information Management: A Smart Healthcare Perspective. Springer

The convergence of Machine Learning (ML) and the Internet of Things (IoT) has brought about a paradigm shift in healthcare, ushering in a new era of intelligent healthcare management. This powerful amalgamation is driving transformative changes acros... Read More about Machine Learning for Smart Healthcare Management Using IoT.

A Generative Neural Network for Improving Metamorphic Malware Detection in IoT Mobile Devices (2023)
Book Chapter
Turnbull, L., Tan, Z., & Babaagba, K. O. (2024). A Generative Neural Network for Improving Metamorphic Malware Detection in IoT Mobile Devices. In A. Ismail Awad, A. Ahmad, K. Raymond Choo, & S. Hakak (Eds.), Internet of Things Security and Privacy: Practical and Management Perspectives (24-53). CRC Press. https://doi.org/10.1201/9781003199410-2

There has been an upsurge in malicious attacks in recent years, impacting computer systems and networks. More and more novel malware families aimed at information assets were launched daily over the past year. A particularly threatening malicious gro... Read More about A Generative Neural Network for Improving Metamorphic Malware Detection in IoT Mobile Devices.