All Outputs (2058)

Association between measures derived from children's primary exfoliated teeth and psychopathology symptoms: Results from a community-based study (2022)
Journal Article
Dunn, E. C., Mountain, R. V., Davis, K. A., Shaffer, I., Smith, A. D. A. C., Roubinov, D. S., Den Besten, P., Bidlack, F. B., & Boyce, W. T. (2022). Association between measures derived from children's primary exfoliated teeth and psychopathology symptoms: Results from a community-based study. Frontiers in Dental Medicine, 3, Article 803364. https://doi.org/10.3389/fdmed.2022.803364

Mental disorders are among the most disabling health conditions globally. However, there remains a lack of valid, reliable, noninvasive, and inexpensive biomarkers to identify (at an early age) people who are at the greatest risk of experiencing a fu... Read More about Association between measures derived from children's primary exfoliated teeth and psychopathology symptoms: Results from a community-based study.

Chlorella sensors in liquid marbles and droplets (2022)
Journal Article
Phillips, N., Mayne, R., & Adamatzky, A. (2022). Chlorella sensors in liquid marbles and droplets. Sensing and Bio-Sensing Research, 36, Article 100491. https://doi.org/10.1016/j.sbsr.2022.100491

The use of live organisms in electrically-coupled sensing devices has been suggested as an alternative low-cost, low-environmental footprint and robust technology for continuous monitoring and sensing applications. The utility of Chlorella vulgaris a... Read More about Chlorella sensors in liquid marbles and droplets.

Nonbinary representations in the NK and NKCS models (2022)
Journal Article
Bull, L. (2022). Nonbinary representations in the NK and NKCS models. Complex Systems -Champaign-, 31(1), 87-101. https://doi.org/10.25088/ComplexSystems.31.1.87

The NK model has been used widely to explore aspects of natural evolution and complex systems. Traditionally, the model has used a binary representation scheme. This paper introduces a modified form of the NK model through which to systematically exp... Read More about Nonbinary representations in the NK and NKCS models.

Epidemiology and outcomes of tibial plateau fractures in adults aged 60 and over treated in the United Kingdom (2022)
Journal Article
Donovan, R. L., Smith, J. R., Yeomans, D., Bennett, F., White, P., & Chesser, T. J. (2022). Epidemiology and outcomes of tibial plateau fractures in adults aged 60 and over treated in the United Kingdom. Injury, 53(6), 2219-2225. https://doi.org/10.1016/j.injury.2022.03.048

Background: Tibial plateau fractures are common in older adults, often resulting from low-energy falls. Although lower limb fragility fracture care has evolved, the management of tibial plateau fractures in older patients remains poorly researched. T... Read More about Epidemiology and outcomes of tibial plateau fractures in adults aged 60 and over treated in the United Kingdom.

ApplianceNet: A neural network based framework to recognize daily life activities and behavior in smart home using smart plugs (2022)
Journal Article
Fahim, M., Kazmi, S. M. A., & Khattak, A. M. (2022). ApplianceNet: A neural network based framework to recognize daily life activities and behavior in smart home using smart plugs. Neural Computing and Applications, 34(15), 12749-12763. https://doi.org/10.1007/s00521-022-07144-1

A smart plug can transform the typical electrical appliance into a smart multi-functional device, which can communicate over the Internet. It has the ability to report the energy consumption pattern of the attached appliance which offer the further a... Read More about ApplianceNet: A neural network based framework to recognize daily life activities and behavior in smart home using smart plugs.

qNoise: A generator of non-Gaussian colored noise (2022)
Journal Article
Deza, J. I., & Ihshaish, H. (2022). qNoise: A generator of non-Gaussian colored noise. SoftwareX, 18, Article 101034. https://doi.org/10.1016/j.softx.2022.101034

We introduce a software generator for a class of colored (self-correlated) and non-Gaussian noise, whose statistics and spectrum depend on two param- eters, q and τ. Inspired by Tsallis’ nonextensive formulation of statistical physics, the so-called... Read More about qNoise: A generator of non-Gaussian colored noise.

Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: A survey (2022)
Journal Article
McCarthy, A., Ghadafi, E., Andriotis, P., & Legg, P. (2022). Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: A survey. Journal of Cybersecurity and Privacy, 2(1), 154-190. https://doi.org/10.3390/jcp2010010

Machine learning has become widely adopted as a strategy for dealing with a variety of cybersecurity issues, ranging from insider threat detection to intrusion and malware detection. However, by their very nature, machine learning systems can introdu... Read More about Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: A survey.

Online service provisioning in NFV-enabled networks using deep reinforcement learning (2022)
Journal Article
Nouruzi, A., Zakeri, A., Javan, M. R., Mokari, N., Hussain, R., & Kazmi, S. M. A. (2022). Online service provisioning in NFV-enabled networks using deep reinforcement learning. IEEE Transactions on Network and Service Management, 19(3), 3276-3289. https://doi.org/10.1109/TNSM.2022.3159670

In this paper, we study a Deep Reinforcement Learning (DRL) based framework for an online end-user service provisioning in a Network Function Virtualization (NFV)-enabled network. We formulate an optimization problem aiming to minimize the cost of ne... Read More about Online service provisioning in NFV-enabled networks using deep reinforcement learning.

E-government cybersecurity modeling in the context of software-defined networks (2022)
Book Chapter
Ujjan, R. M. A., Taj, I., & Brohi, S. N. (2022). E-government cybersecurity modeling in the context of software-defined networks. In Cybersecurity Measures for E-Government Frameworks (1-21). IGI Global. https://doi.org/10.4018/978-1-7998-9624-1.ch001

Currently, information and communication technologies are going in advance, allowing more information to be distributed globally via the internet superhighway. While being interconnected to the virtual world, people are becoming increasingly focused,... Read More about E-government cybersecurity modeling in the context of software-defined networks.

The impact of Blockchain technology on advanced security measures for E-Government (2022)
Book Chapter
Ujjan, R. M. A., Hussain, K., & Brohi, S. N. (2022). The impact of Blockchain technology on advanced security measures for E-Government. In Cyber Security Measures for E-Government Frameworks (157-174). IGI Global. https://doi.org/10.4018/978-1-7998-9624-1.ch010

Implementation of blockchain with e-government has raised several complexities. When an area has satisfied the requirements for e-government implementation, new challenges will appear. As a result of the information technology revolution, governments... Read More about The impact of Blockchain technology on advanced security measures for E-Government.

Multi strategy search with crow search algorithm (2022)
Book Chapter
Durgut, R., & Aydin, M. E. (in press). Multi strategy search with crow search algorithm. In N. Vakhania (Ed.), Optimization Algorithms. IntechOpen. https://doi.org/10.5772/intechopen.102862

Crow Search Algorithm (CSA) is one of the recently proposed swarm intelligence algorithms developed inspiring of the social behaviour of crow flocks. One of the drawbacks of the original CSA is that it tends to randomly select a neighbour on search s... Read More about Multi strategy search with crow search algorithm.

Roadmap to overcoming the challenges of cyber security and forensics education in the age of distance learning and the COVID-19 pandemic (2022)
Presentation / Conference Contribution
Elliott, G., & Malik, M. (2021, October). Roadmap to overcoming the challenges of cyber security and forensics education in the age of distance learning and the COVID-19 pandemic. Presented at Colloquium for Information Systems Security Education (CISSE), USA

This paper focuses on developing a pedagogic roadmap to overcoming the challenges of delivering cyber security and forensics education in colleges and universities through distance learning during the COVID-19 pandemic. The research in this paper ide... Read More about Roadmap to overcoming the challenges of cyber security and forensics education in the age of distance learning and the COVID-19 pandemic.

The spatio-temporal influence of atmospheric circulations on monthly precipitation in Great Britain (2022)
Journal Article
West, H., White, P., Quinn, N., & Horswell, M. (2022). The spatio-temporal influence of atmospheric circulations on monthly precipitation in Great Britain. Atmosphere, 13(3), Article 429. https://doi.org/10.3390/atmos13030429

It has long been understood that the North Atlantic Oscillation (NAO) is a key driver of regional climate in Great Britain and across Europe. However, studies have also noted that there is spatio-temporal variability in NAO-rainfall signatures which... Read More about The spatio-temporal influence of atmospheric circulations on monthly precipitation in Great Britain.

uwedragon (2022)
Digital Artefact
Derrick, B. (2022). uwedragon. [R package]

R package for statistical disclosure control. A tool for checking how much information is disclosed when reporting summary statistics.

Variational restricted Boltzmann machines to automated anomaly detection (2022)
Journal Article
Demertzis, K., Iliadis, L., Pimenidis, E., & Kikiras, P. (2022). Variational restricted Boltzmann machines to automated anomaly detection. Neural Computing and Applications, 34, 15207–15220. https://doi.org/10.1007/s00521-022-07060-4

Data-driven methods are implemented using particularly complex scenarios that reflect in-depth perennial knowledge and research. Hence, the available intelligent algorithms are completely dependent on the quality of the available data. This is not po... Read More about Variational restricted Boltzmann machines to automated anomaly detection.

Intelligent deep fusion network for anomaly identification in maritime transportation systems (2022)
Journal Article
Djenouri, Y., Belhadi, A., Djenouri, D., Srivastava, G., & Lin, J. C. (2023). Intelligent deep fusion network for anomaly identification in maritime transportation systems. IEEE Transactions on Intelligent Transportation Systems, 24(2), 2392-2400. https://doi.org/10.1109/TITS.2022.3151490

This paper introduces a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with decomposition is explored to find abnormal behavior in maritime dat... Read More about Intelligent deep fusion network for anomaly identification in maritime transportation systems.

Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies (2022)
Journal Article
Lussier, A. A., Zhu, Y., Smith, B. J., Simpkin, A. J., Smith, A. D., Suderman, M. J., …Dunn, E. C. (2022). Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies. Epigenetics, https://doi.org/10.1080/15592294.2022.2028072

Introduction: Biomedical research has grown increasingly cooperative through the sharing of consortia-level epigenetic data. Since consortia preprocess data prior to distribution, new processing pipelines can lead to different versions of the same d... Read More about Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies.

Frequency-dependent characteristics of nerve-mediated ATP and acetylcholine release from detrusor smooth muscle (2022)
Journal Article
Chakrabarty, B., Aitchison, K., White, P., McCarthy, C. J., Kanai, A. J., & Fry, C. H. (2022). Frequency-dependent characteristics of nerve-mediated ATP and acetylcholine release from detrusor smooth muscle. Experimental Physiology, 107(4), 350-358. https://doi.org/10.1113/EP090238

New Findings: What is the central question of this study? Is the frequency dependence of co-transmitter release from postganglionic nerve fibres different for each transmitter? What is the main finding and its importance? Release of co-transmitters f... Read More about Frequency-dependent characteristics of nerve-mediated ATP and acetylcholine release from detrusor smooth muscle.

A novel deep reinforcement learning-based approach for task-offloading in vehicular networks (2022)
Presentation / Conference Contribution
Kazmi, S. M. A., Otoum, S., Hussain, R., & Mouftah, H. T. (2022). A novel deep reinforcement learning-based approach for task-offloading in vehicular networks. In 2021 IEEE Global Communications Conference (GLOBECOM) (1-6). https://doi.org/10.1109/GLOBECOM46510.2021.9685073

Next-generation vehicular networks will impose unprecedented computation demand due to the wide adoption of compute-intensive services with stringent latency requirements. Computational capacity of vehicular networks can be enhanced by integration of... Read More about A novel deep reinforcement learning-based approach for task-offloading in vehicular networks.

A novel, scalable social media-based intervention Warna-Warni Waktu to reduce body dissatisfaction among young Indonesian women: Protocol for a parallel randomized controlled trial (2022)
Journal Article
Garbett, K. M., Craddock, N., Haywood, S., Nasution, K., White, P., Saraswati, L. A., Medise, B. E., Effect, G., Galactic, P., Diedrichs, P. C., & Williamson, H. (2022). A novel, scalable social media-based intervention Warna-Warni Waktu to reduce body dissatisfaction among young Indonesian women: Protocol for a parallel randomized controlled trial. JMIR Research Protocols, 11(1), Article e33596. https://doi.org/10.2196/33596

Background: Despite the prevalence of body dissatisfaction among young Indonesian women and its consequential negative impacts, there are currently no evidence-based, culturally appropriate interventions to tackle this issue. Therefore, there is a ne... Read More about A novel, scalable social media-based intervention Warna-Warni Waktu to reduce body dissatisfaction among young Indonesian women: Protocol for a parallel randomized controlled trial.