Outputs (300)

It's what the suffragettes would have wanted: the construction of the suffragists and suffragettes on Mumsnet. (2022)
Journal Article
PEDERSEN, S. 2023. It's what the suffragettes would have wanted: the construction of the suffragists and suffragettes on Mumsnet. Feminist media studies [online], 23(4), pages 1543-1558. Available from: https://doi.org/10.1080/14680777.2022.2032788

The image of the historical campaign for votes for women is continually reinvigorated and reinvested with meaning by later feminists. An investigation into the ways in which the campaign is framed on the UK online parenting forum Mumsnet demonstrates... Read More about It's what the suffragettes would have wanted: the construction of the suffragists and suffragettes on Mumsnet..

Saying the unsayable: the online expression of mothers' anger during a pandemic. (2022)
Journal Article
PEDERSEN, S. and BURNETT, S. 2022. Saying the unsayable: the online expression of mothers' anger during a pandemic. Feminism and psychology [online], 32(2), pages 246-264. Available from: https://doi.org/10.1177/09593535221074131

This article investigates key triggers for mothers' anger during the COVID-19 pandemic and some of the positive and negative consequences of its expression online. It uses the UK online parenting forum Mumsnet as a research context and source of data... Read More about Saying the unsayable: the online expression of mothers' anger during a pandemic..

Reframing recycling behaviour through consumers' perceptions: an exploratory investigation. (2021)
Journal Article
OKE, A., MCDONALD, S., KOROBILIS-MAGAS, E., OSOBAJO, O.A. and AWUZIE, B.O. 2021. Reframing recycling behaviour through consumers' perceptions: an exploratory investigation. Sustainability [online], 13(24), article number 13849. Available from: https://doi.org/10.3390/su132413849

Despite the increasing awareness of the consequences of waste, there is no consensus on how and why consumers engage in recycling, making it challenging to design behavioural interventions that might promote recycling, especially in organisational se... Read More about Reframing recycling behaviour through consumers' perceptions: an exploratory investigation..

An optimized machine learning and big data approach to crime detection. (2021)
Journal Article
PALANIVINAYAGAM, A., GOPAL, S.S., BHATTACHARYA, S., ANUMBE, N., IBEKE, E. and BIAMBA, C. 2021. An optimized machine learning and big data approach to crime detection. Wireless communications and mobile computing [online], 2021, article ID 5291528. Available from: https://doi.org/10.1155/2021/5291528

Crime detection is one of the most important research applications in machine learning. Identifying and reducing crime rates is crucial to developing a healthy society. Big Data techniques are applied to collect and analyse data: determine the requir... Read More about An optimized machine learning and big data approach to crime detection..

Demystifying the complexity and heterogeneity of recycling behavior in organizational settings: a mixed-methods approach. (2021)
Journal Article
OKE, A., MCDONALD, S. and KOROBILIS-MAGAS, E. 2021. Demystifying the complexity and heterogeneity of recycling behavior in organizational settings: a mixed-methods approach. Waste management [online], 136, pages 337-347. Available from: https://doi.org/10.1016/j.wasman.2021.10.020

Research on recycling has advanced across different disciplines, although the current knowledge about recycling behaviors at the corporate level remains elusive. While most studies on recycling are focused on households, there is no indication that p... Read More about Demystifying the complexity and heterogeneity of recycling behavior in organizational settings: a mixed-methods approach..

Recurrent neural network and reinforcement learning model for COVID-19 prediction. (2021)
Journal Article
KUMAR, R.L., KHAN, F., DIN, S., BAND, S.S., MOSAVI, A. and IBEKE, E. 2021. Recurrent neural network and reinforcement learning model for COVID-19 prediction. Frontiers in public health [online], 9, article 744100. Available from: https://doi.org/10.3389/fpubh.2021.744100

Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes... Read More about Recurrent neural network and reinforcement learning model for COVID-19 prediction..

Harris Tweed: a glocal case study. (2021)
Journal Article
CROSS, K., STEED, J. and JIANG, Y. 2021. Harris Tweed: a global case study. Fashion, style and popular culture [online], 8(4), pages 475-494. Available from: https://doi.org/10.1386/fspc_00102_1

Fast and effectively disposable fashion has seen clothing reduced to transient items, worn for a short period of time then discarded. This has pushed down prices, moving textile and clothing production to low-cost labour countries and decimating the... Read More about Harris Tweed: a glocal case study..

Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm. (2021)
Journal Article
KAMARPOSHTI, M.A., COLAK, I., IWENDI, C., BAND, S.S. and IBEKE, E. 2022. Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm. Journal of circuits, systems and computers [online], 31(4), article 2250060. Available from: https://doi.org/10.1142/S0218126622500608

Volatility leads to disruption in synchronism between generators of a continuous system. The frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is sometimes divided into two types, local and interregional... Read More about Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm..

A study of university law students’ self-perceived digital competences. (2021)
Journal Article
MARTZOUKOU, K., KOSTAGIOLAS, P., LAVRANOS, C., LAUTERBACH, T. and FULTON, C. 2022. A study of university law students' self-perceived digital competences. Journal of librarianship and information science [online], 54(4), pages 751-769. Available from: https://doi.org/10.1177/09610006211048004

The concept of digital competences incorporates the effective use of constantly-changing digital tools and media for learning and performing digital tasks, digital behaviours (such as online communication, teamwork, ethical sharing of information), a... Read More about A study of university law students’ self-perceived digital competences..

Tackling pandemics in smart cities using machine learning architecture. (2021)
Journal Article
NGABO, D., DONG, W., IBEKE, E., IWENDI, C. and MASABO, E. 2021. Tackling pandemics in smart cities using machine learning architecture. Mathematical biosciences and engineering [online], 18(6): the advances in cybersecurity theory and applications, pages 8444-8461. Available from: https://doi.org/10.3934/mbe.2021418

With the recent advancement in analytic techniques and the increasing generation of healthcare data, artificial intelligence (AI) is reinventing the healthcare system for tackling pandemics securely in smart cities. AI tools continue register numerou... Read More about Tackling pandemics in smart cities using machine learning architecture..