All Outputs (68)

Deep learning based customer preferences analysis in industry 4.0 environment (2021)
Journal Article
Sun, Q., Feng, X., Zhao, S., Cao, H., Li, S., & Yao, Y. (2021). Deep learning based customer preferences analysis in industry 4.0 environment. Mobile Networks and Applications, 26, 2329–2340. https://doi.org/10.1007/s11036-021-01830-5

Customer preferences analysis and modelling using deep learning in edge computing environment are critical to enhance customer relationship management that focus on a dynamically changing market place. Existing forecasting methods work well with ofte... Read More about Deep learning based customer preferences analysis in industry 4.0 environment.

A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach (2021)
Journal Article
Phung, K., Jayatilake, D., Ogunshile, E., & Aydin, M. (2021). A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach. Programming and Computer Software, 47(8), 765-777. https://doi.org/10.1134/S0361768821080211

In the biomedical domain, diagrammatical models have been extensively used to describe and understand the behaviour of biological organisms (biological agents) for decades. Although these models are simple and comprehensive, they can only offer a sta... Read More about A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach.

Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing (2021)
Journal Article
Phung, K., Ramachandran, R., & Ogunshile, E. (2021). Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing. Programming and Computer Software, 47(8), 757-764. https://doi.org/10.1134/S036176882108020X

This paper attempts to develop an application that converts Tamil and Vietnamese speech to text, with a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application converts spoken Tamil and Vietnames... Read More about Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing.

Application of region-based video surveillance in smart cities using deep learning (2021)
Journal Article
Zahra, A., Ghafoor, M., Munir, K., Ullah, A., & Ul Abideen, Z. (2021). Application of region-based video surveillance in smart cities using deep learning. Multimedia Tools and Applications, 2021, https://doi.org/10.1007/s11042-021-11468-w

Smart video surveillance helps to build more robust smart city environment. The varied angle cameras act as smart sensors and collect visual data from smart city environment and transmit it for further visual analysis. The transmitted visual data is... Read More about Application of region-based video surveillance in smart cities using deep learning.

Users’ experiences of enhancing underwater images: An empirical study (2021)
Journal Article
Emberton, S., & Simons, C. (2021). Users’ experiences of enhancing underwater images: An empirical study. Quality and User Experience, 7(1), Article 1. https://doi.org/10.1007/s41233-021-00048-3

Within the worldwide diving community, underwater photography is becoming increasingly popular. However, the marine environment presents certain challenges for image capture, with resulting imagery often suffering from colour distortions, low contras... Read More about Users’ experiences of enhancing underwater images: An empirical study.

Ensemble metropolis light transport (2021)
Journal Article
Bashford-Rogers, T., Paulo Santos, L., Marnerides, D., & Debattista, K. (2022). Ensemble metropolis light transport. ACM Transactions on Graphics, 41(1), Article 5. https://doi.org/10.1145/3472294

This article proposes a Markov Chain Monte Carlo (MCMC) rendering algorithm based on a family of guided transition kernels. The kernels exploit properties of ensembles of light transport paths, which are distributed according to the lighting in the s... Read More about Ensemble metropolis light transport.

Emergent deep learning for anomaly detection in internet of everything (2021)
Journal Article
Djenouri, Y., Djenouri, D., Belhadi, A., Srivastava, G., & Lin, J. C. W. (2023). Emergent deep learning for anomaly detection in internet of everything. IEEE Internet of Things, 10(4), 3206-3214. https://doi.org/10.1109/JIOT.2021.3134932

This research presents a new generic deep learning framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect outliers in IoE environment... Read More about Emergent deep learning for anomaly detection in internet of everything.

E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic (2021)
Journal Article
Rahmani, A. M., Naqvi, R., Malik, M., Malik, T. S., Sadrishojaei, M., Hosseinzadeh, M., & Al-Musawi, A. (2021). E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic. Mathematics, 9(24), 3151. https://doi.org/10.3390/math9243151

The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational p... Read More about E-learning development based on internet of things and blockchain technology during Covid-19 Pandemic.

‘Dove Confident Me Indonesia: Single Session’: Study protocol for a randomised controlled trial to evaluate a school-based body image intervention among Indonesian adolescents (2021)
Journal Article
Craddock, N., Garbett, K. M., Haywood, S., Nasution, K., White, P., Saraswati, L. A., …Diedrichs, P. C. (2021). ‘Dove Confident Me Indonesia: Single Session’: Study protocol for a randomised controlled trial to evaluate a school-based body image intervention among Indonesian adolescents. BMC Public Health, 21(1), Article 2102. https://doi.org/10.1186/s12889-021-11770-0

Background: Due to the prevalence and associated adverse health consequences of negative body image among adolescents globally, there is a need to develop acceptable, effective, and scalable interventions. School-based body image interventions delive... Read More about ‘Dove Confident Me Indonesia: Single Session’: Study protocol for a randomised controlled trial to evaluate a school-based body image intervention among Indonesian adolescents.

A multi-centred sequential trial comparing PEGASUS, an intervention to promote shared decision making about breast reconstruction with usual care (2021)
Journal Article
Paraskeva, N., Tollow, P., Clarke, A., White, P., Powell, J. E., Cox, D. M., & Harcourt, D. M. (2022). A multi-centred sequential trial comparing PEGASUS, an intervention to promote shared decision making about breast reconstruction with usual care. Journal of Plastic, Reconstructive and Aesthetic Surgery, 75(4), 1342-1351. https://doi.org/10.1016/j.bjps.2021.11.033

Decision making about breast reconstruction (BR) is complex. The Patients’ Expectations and Goals: Assisting Shared Understanding of Surgery (PEGASUS) intervention aims to support shared decision making by helping women and clinicians clarify and dis... Read More about A multi-centred sequential trial comparing PEGASUS, an intervention to promote shared decision making about breast reconstruction with usual care.

Testing the responsiveness of and defining MID (minimal important difference) values for the CARe Burn Scales: Patient-reported outcome measures (PROMs) to assess quality of life for children and young people affected by burn injuries, and their parents/caregivers (2021)
Journal Article
Griffiths, C., Tollow, P., Cox, D., White, P., Pickles, T., & Harcourt, D. (2021). Testing the responsiveness of and defining MID (minimal important difference) values for the CARe Burn Scales: Patient-reported outcome measures (PROMs) to assess quality of life for children and young people affected by burn injuries, and their parents/caregivers. European Burn Journal, 2(4), 249-280

Background: The CARe Burn Scales are a portfolio of burn-specific PROMs for people affected by burns, including a Child Form (for children < 8 years (Parent-proxy)), a Young Person Form (for young people aged 8 -17 years), an Adult Form, and a Parent... Read More about Testing the responsiveness of and defining MID (minimal important difference) values for the CARe Burn Scales: Patient-reported outcome measures (PROMs) to assess quality of life for children and young people affected by burn injuries, and their parents/caregivers.

Investigating malware propagation and behaviour using system and network pixel-based visualisation (2021)
Journal Article
Williams, J., & Legg, P. (2022). Investigating malware propagation and behaviour using system and network pixel-based visualisation. SN Computer Science, 3(1), Article 53. https://doi.org/10.1007/s42979-021-00926-9

Malicious software, known as malware, is a perpetual game of cat and mouse between malicious software developers and security professionals. Recent years have seen many high profile cyber attacks, including the WannaCry and NotPetya ransomware attack... Read More about Investigating malware propagation and behaviour using system and network pixel-based visualisation.

Sentence encoding for dialogue act classification (2021)
Journal Article
Duran, N., Battle, S., & Smith, J. (2023). Sentence encoding for dialogue act classification. Natural Language Engineering, 29(3), 794-823. https://doi.org/10.1017/S1351324921000310

In this study, we investigate the process of generating single-sentence representations for the purpose of Dialogue Act (DA) classification, including several aspects of text pre-processing and input representation which are often overlooked or under... Read More about Sentence encoding for dialogue act classification.

Effect of Amoxicillin dose and treatment duration on the need for antibiotic re-treatment in children with Community-Acquired Pneumonia: The CAP-IT randomized clinical trial (2021)
Journal Article
Bielicki, J. A., Stöhr, W., Barratt, S., Dunn, D., Naufal, N., Roland, D., …PERUKI, GAPRUKI, and the CAP-IT Trial Group. (2021). Effect of Amoxicillin dose and treatment duration on the need for antibiotic re-treatment in children with Community-Acquired Pneumonia: The CAP-IT randomized clinical trial. Journal of the American Medical Association, 326(17), 1713-1724. https://doi.org/10.1001/jama.2021.17843

Importance: The optimal dose and duration of oral amoxicillin for children with community-acquired pneumonia (CAP) are unclear. Objective: To determine whether lower-dose amoxicillin is noninferior to higher dose and whether 3-day treatment is noninf... Read More about Effect of Amoxicillin dose and treatment duration on the need for antibiotic re-treatment in children with Community-Acquired Pneumonia: The CAP-IT randomized clinical trial.

Arabic semantic similarity approach for farmers’ complaints (2021)
Journal Article
Farouk, R. A., Khafagy, M. H., Ali, M., Munir, K., & M.Badry, R. (2021). Arabic semantic similarity approach for farmers’ complaints. International Journal of Advanced Computer Science and Applications, 12(10), 348-358. https://doi.org/10.14569/ijacsa.2021.0121038

Semantic similarity is applied for many areas in Natural Language Processing, such as information retrieval, text classification, plagiarism detection, and others. Many researchers used semantic similarity for English texts, but few used for Arabic d... Read More about Arabic semantic similarity approach for farmers’ complaints.

North Atlantic air pressure and temperature conditions associated with heavy rainfall in Great Britain (2021)
Journal Article
Barnes, A. P., Svensson, C., & Kjeldsen, T. R. (2022). North Atlantic air pressure and temperature conditions associated with heavy rainfall in Great Britain. International Journal of Climatology, 42(5), 3190-3207. https://doi.org/10.1002/joc.7414

Severe flooding in the United Kingdom is often linked to the occurrence of heavy rainfall events, which can be characterized by the synoptic scale meteorological conditions over the North Atlantic region. Seasonal heavy rainfall events (summer and wi... Read More about North Atlantic air pressure and temperature conditions associated with heavy rainfall in Great Britain.

Deception in network defences using unpredictability (2021)
Journal Article
Happa, J., Bashford-Rogers, T., Van Rensburg, A. J., Goldsmith, M., & Creese, S. (2021). Deception in network defences using unpredictability. Digital Threats: Research and Practice, 2(4), Article 29. https://doi.org/10.1145/3450973

In this article, we propose a novel method that aims to improve upon existing moving-target defences by making them unpredictably reactive using probabilistic decision-making. We postulate that unpredictability can improve network defences in two key... Read More about Deception in network defences using unpredictability.

Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types (2021)
Journal Article
Tsompanas, M. A., Bull, L., Adamatzky, A., & Balaz, I. (2021). Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types. IEEE Computational Intelligence Magazine, 16(4), 85-99. https://doi.org/10.1109/MCI.2021.3108306

There is a rich history of evolutionary algorithms tackling optimization problems where the most appropriate size of solutions, namely the genome length, is unclear a priori. Here, we investigated the applicability of this methodology on the problem... Read More about Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types.

Mem-fractive properties of mushrooms (2021)
Journal Article
Beasley, A. E., Abdelouahab, M. S., Lozi, R., Tsompanas, M. A., Powell, A., & Adamatzky, A. (2022). Mem-fractive properties of mushrooms. Bioinspiration and Biomimetics, 16(6), Article 066026. https://doi.org/10.1088/1748-3190/ac2e0c

Memristors close the loop for I-V characteristics of the traditional, passive, semi-conductor devices. A memristor is a physical realisation of the material implication and thus is a universal logical element. Memristors are getting particular intere... Read More about Mem-fractive properties of mushrooms.

On predicting sensor readings with sequence modeling and reinforcement learning for energy-efficient IoT applications (2021)
Journal Article
Laidi, R., Djenouri, D., & Balasingham, I. (2022). On predicting sensor readings with sequence modeling and reinforcement learning for energy-efficient IoT applications. IEEE Transactions on Systems Man and Cybernetics: Systems, 52(8), 5140-5151. https://doi.org/10.1109/TSMC.2021.3116141

Prediction of sensor readings in event-based Internet-of-Things (IoT) applications is considered. A new approach is proposed, which allows turning off sensors in periods when their readings can be predicted, thus preserving energy that would be consu... Read More about On predicting sensor readings with sequence modeling and reinforcement learning for energy-efficient IoT applications.