Skip to main content

Research Repository

Advanced Search

All Outputs (1082)

A systematic rank of smart training environment applications with motor imagery brain-computer interface (2022)
Journal Article
Al-Qaysi, Z. T., Ahmed, M. A., Hammash, N. M., Hussein, A. F., Albahri, A. S., Suzani, M. S., & Al-Bander, B. (2023). A systematic rank of smart training environment applications with motor imagery brain-computer interface. Multimedia Tools and Applications, 82(12), 17905-17927. https://doi.org/10.1007/s11042-022-14118-x

Brain-Computer Interface (BCI) research is considered one of the significant interdisciplinary fields. It assists people with severe motor disabilities to recover and improve their motor actions through rehabilitation sessions using Motor Imagery (MI... Read More about A systematic rank of smart training environment applications with motor imagery brain-computer interface.

Dispersion of the Bending Wave in a Fluid-loaded Elastic Layer (2022)
Book Chapter
Kaplunov, J., Prikazchikova, L., & Shamsi, S. (2022). Dispersion of the Bending Wave in a Fluid-loaded Elastic Layer. In Advances in Solid and Fracture Mechanics (127 - 134). (1). Springer. https://doi.org/10.1007/978-3-031-18393-5_8

A plane strain problem is considered for an elastic layer immersed into a compressible fluid. The dispersion relation for anti-symmetric waves is studied. The associated three-term long-wave low-frequency expansion for a fluid-borne bending wave is d... Read More about Dispersion of the Bending Wave in a Fluid-loaded Elastic Layer.

The role of ‘living laboratories’ in accelerating the energy system decarbonization (2022)
Journal Article
Fan, Z., Cao, J., Jamal, T., Fogwill, C., Samende, C., Robinson, Z., Polack, F., Ormerod, M., George, S., Peacock, A., & Healey, D. (2022). The role of ‘living laboratories’ in accelerating the energy system decarbonization. Energy Reports, 11858 - 11864. https://doi.org/10.1016/j.egyr.2022.09.046

To decarbonize the energy system by the year 2050, it is crucial that innovations are trialled in a ‘real world’ setting for the purpose of increasing public adoption and support, and for providing insights to decision-makers to ensure their decision... Read More about The role of ‘living laboratories’ in accelerating the energy system decarbonization.

Asymptotic analysis of 3D dynamic equations in linear elasticity for a thin layer resting on a Winkler foundation (2022)
Journal Article
Kaplunov. (2022). Asymptotic analysis of 3D dynamic equations in linear elasticity for a thin layer resting on a Winkler foundation. IMA Journal of Applied Mathematics, 707 - 721. https://doi.org/10.1093/imamat/hxac023

<jats:title>Abstract</jats:title> <jats:p>A 3D dynamic problem for a thin elastic layer resting on a Winkler foundation is considered. The stiffness of the layer is assumed to be much greater than that of the foundation in order to allow low-frequenc... Read More about Asymptotic analysis of 3D dynamic equations in linear elasticity for a thin layer resting on a Winkler foundation.

Effects of finite non-Gaussianity on evolution of a random wind wave field. (2022)
Journal Article
Annenkov, & Shrira. (2022). Effects of finite non-Gaussianity on evolution of a random wind wave field. Physical Review E, 106, Article L042102. https://doi.org/10.1103/PhysRevE.106.L042102

We examine the long-term evolution of a random wind wave field generated by constant forcing, by comparing numerical simulations of the kinetic equation and direct numerical simulations (DNS) of the dynamical equations. While the integral characteris... Read More about Effects of finite non-Gaussianity on evolution of a random wind wave field..

Transient changes during microwave ablation simulation : a comparative shape analysis. (2022)
Journal Article
Kernot, D., Yang, J., Williams, N., Thomas, T., Ledger, P., Arora, H., & van Loon, R. (2022). Transient changes during microwave ablation simulation : a comparative shape analysis. Biomechanics and Modeling in Mechanobiology, https://doi.org/10.1007/s10237-022-01646-6

Microwave ablation therapy is a hyperthermic treatment for killing cancerous tumours whereby microwave energy is dispersed into a target tissue region. Modelling can provide a prediction for the outcome of ablation, this paper explores changes in siz... Read More about Transient changes during microwave ablation simulation : a comparative shape analysis..

Localized bulging of an inflated rubber tube with fixed ends (2022)
Journal Article
Fu, Y., Guo, Z., & Wang, S. (2022). Localized bulging of an inflated rubber tube with fixed ends. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, 380(2234), 20210318 - ?. https://doi.org/10.1098/rsta.2021.0318

When a rubber tube with free ends is inflated under volume control, the pressure will first reach a maximum and then decrease monotonically to approach a constant asymptote. The pressure maximum corresponds to the initiation of a localized bulge and... Read More about Localized bulging of an inflated rubber tube with fixed ends.

The effect of contact conditions on the performance of flexural seismic metasurfaces (2022)
Journal Article
Alzaidi, A. S., Kaplunov, J., Prikazchikova, L., Wootton, P., & Nikonov, A. (2022). The effect of contact conditions on the performance of flexural seismic metasurfaces. Zeitschrift für angewandte Mathematik und Physik, 73, Article 194. https://doi.org/10.1007/s00033-022-01822-9

<jats:title>Abstract</jats:title><jats:p>Plane-strain motion of a flexural seismic metasurface in the form of a regular array of thin Kirchhoff plates attached to the surface of an elastic half-space is analysed. Two types of contact conditions, incl... Read More about The effect of contact conditions on the performance of flexural seismic metasurfaces.

Structural Complexity and Performance of Support Vector Machines (2022)
Presentation / Conference Contribution
Kazeem Olorisade, B., Brereton, P., & Andras, P. Structural Complexity and Performance of Support Vector Machines. Presented at 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy

Support vector machines (SVM) are often applied in the context of machine learning analysis of various data. Given the nature of SVMs, these operate always in the sub-interpolation range as a machine learning method. Here we explore the impact of str... Read More about Structural Complexity and Performance of Support Vector Machines.

Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures (2022)
Journal Article
Noii, N., Khodadadian, A., & Aldakheel, F. (2022). Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures. Computer Methods in Applied Mechanics and Engineering, 399, Article 115358. https://doi.org/10.1016/j.cma.2022.115358

A probabilistic approach to phase-field brittle and ductile fracture with random material and geometric properties is proposed within this work. In the macroscopic failure mechanics, materials properties and spatial quantities (of different phases in... Read More about Probabilistic failure mechanisms via Monte Carlo simulations of complex microstructures.

Visualization of Interval Regression for Facilitating Data and Model Insight (2022)
Presentation / Conference Contribution
Kabir, S., & Wagner, C. (2022, July). Visualization of Interval Regression for Facilitating Data and Model Insight. Presented at 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Padua, Italy

With growing significance of interval-valued data, interest in artificial intelligence methods tailored to this data type is similarly increasing across a range of application domains. Here, regression, i.e., the modelling of the association between... Read More about Visualization of Interval Regression for Facilitating Data and Model Insight.

Federated Learning for Short-Term Residential Load Forecasting (2022)
Journal Article
Briggs, C., Fan, Z., & Andras, P. (2022). Federated Learning for Short-Term Residential Load Forecasting. IEEE Open Access Journal of Power and Energy, 9, 573-583. https://doi.org/10.1109/oajpe.2022.3206220

Load forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As supply transitions towards less reliable renewable energy generation, smart meters wi... Read More about Federated Learning for Short-Term Residential Load Forecasting.

A Poisson scaling approach to backward wave propagation in a tube (2022)
Journal Article
Chapman, & Sorokin, S. (2022). A Poisson scaling approach to backward wave propagation in a tube. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, https://doi.org/10.1098/rsta.2021.0386

<jats:p>A mathematical analysis of wave propagation along an elastic cylindrical tube is presented, with the aim of determining the range of Poisson’s ratio for which backward wave propagation (i.e. at negative group velocity) can occur near the ring... Read More about A Poisson scaling approach to backward wave propagation in a tube.

On non-locally elastic Rayleigh wave (2022)
Journal Article
Kaplunov, Prikazchikov, & Prikazchikova. (2022). On non-locally elastic Rayleigh wave. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, https://doi.org/10.1098/rsta.2021.0387

<jats:p>The Rayleigh-type wave solution within a widely used differential formulation in non-local elasticity is revisited. It is demonstrated that this wave solution does not satisfy the equations of motion for non-local stresses. A modified differe... Read More about On non-locally elastic Rayleigh wave.

Meso-scale method of asymptotic analysis of elastic vibrations in periodic and non-periodic multi-structures (2022)
Journal Article
Nieves, M. J., & Movchan, A. B. (2022). Meso-scale method of asymptotic analysis of elastic vibrations in periodic and non-periodic multi-structures. Quarterly Journal of Mechanics and Applied Mathematics, 75(3), 171 - 214. https://doi.org/10.1093/qjmam/hbac011

<jats:title>Summary</jats:title> <jats:p>The method of meso-scale asymptotic approximations has proved to be very effective for the analysis of models of solids containing large clusters of defects, such as small inclusions or voids. Here, we present... Read More about Meso-scale method of asymptotic analysis of elastic vibrations in periodic and non-periodic multi-structures.

A Performance Evaluation Approach for n-tier Cloud-Based Software Services (2022)
Presentation / Conference Contribution
Al-Said Ahmad, A., & Alzboon, G. (2022, August). A Performance Evaluation Approach for n-tier Cloud-Based Software Services. Presented at ICCBDC 2022: 2022 6th International Conference on Cloud and Big Data Computing, Birmingham United Kingdom

Cloud computing and cloud testing are vast fields that have attracted significant attention recently. In addition, the need to find an approach for measuring cloud-based applications' effectiveness has also increased. In this work, we introduced an a... Read More about A Performance Evaluation Approach for n-tier Cloud-Based Software Services.

Decay Conditions for Antiplane Shear of a High-Contrast Multi-Layered Semi-Infinite Elastic Strip (2022)
Journal Article
Prikazchikova. (2022). Decay Conditions for Antiplane Shear of a High-Contrast Multi-Layered Semi-Infinite Elastic Strip. Symmetry, 14(8), https://doi.org/10.3390/sym14081697

The antiplane shear of a semi-infinite multi-layered elastic strip with traction free faces and edges subject to prescribed stress is studied. A high contrast is assumed in the stiffnesses of two types of homogeneous isotropic layers. Explicit condit... Read More about Decay Conditions for Antiplane Shear of a High-Contrast Multi-Layered Semi-Infinite Elastic Strip.

For CS Educators, by CS Educators: An Exploratory Analysis of Issues and Recommendations for Online Teaching in Computer Science (2022)
Journal Article
Lal, S., & Mourya, R. (in press). For CS Educators, by CS Educators: An Exploratory Analysis of Issues and Recommendations for Online Teaching in Computer Science. Societies, 12(4), 116. https://doi.org/10.3390/soc12040116

The COVID-19 pandemic has completely transformed the education sector. Almost all universities and colleges have had to convert their normal classroom teaching to online/remote or hybrid teaching during the COVID-19 pandemic. Online teaching has been... Read More about For CS Educators, by CS Educators: An Exploratory Analysis of Issues and Recommendations for Online Teaching in Computer Science.

Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features (2022)
Journal Article
Liu, L., Xi, L., Sun, C., Xiong, S., & Batra, V. (2022). Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features. Computational Intelligence and Neuroscience, 1 - 7. https://doi.org/10.1155/2022/5467262

<jats:p>Personal medication intake detection aims to automatically detect tweets that show clear evidence of personal medication consumption. It is a research topic that has attracted considerable attention to drug safety surveillance. This task is i... Read More about Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features.