Skip to main content

Research Repository

Advanced Search

Outputs (25)

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..

Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model. (2021)
Journal Article
IWENDI, C., IBEKE, E., EGGONI, H., VELAGALA, S. and SRIVASTAVA, G. 2022. Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model. International journal of information technology and decision making [online], 21(1), pages 463-484. Available from: https://doi.org/10.1142/S0219622021500619

The creation of digital marketing has enabled companies to adopt personalized item recommendations for their customers. This process keeps them ahead of the competition. One of the techniques used in item recommendation is known as item-based recomme... Read More about Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model..

Review of existing energy retrofit decision tools for homeowners. (2021)
Journal Article
SEDDIKI, M., BENNADJI, A., LAING, R., GRAY, D. and ALABID, J.M. 2021. Review of existing energy retrofit decision for homeowners. Sustainability [online], 13(18), article 10189. Available from: https://doi.org/10.3390/su131810189

Energy retrofit tools are considered by many countries as one of the strongest incentives to encourage homeowners to invest in energy renovation. These tools help homeowners to get an initial overview of suitable retrofit measures. Although a large n... Read More about Review of existing energy retrofit decision tools for homeowners..