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All Outputs (591)

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

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 differential mo... Read More about On non-locally elastic Rayleigh wave.

Modelling the fitness landscapes of a SCRaMbLEd yeast genome. (2022)
Journal Article
Yang, B., Misirli, G., Wipat, A., & Hallinan, J. (2022). Modelling the fitness landscapes of a SCRaMbLEd yeast genome. BioSystems, https://doi.org/10.1016/j.biosystems.2022.104730

The use of microorganisms for the production of industrially important compounds and enzymes is becoming increasingly important. Eukaryotes have been less widely used than prokaryotes in biotechnology, because of the complexity of their genomic struc... Read More about Modelling the fitness landscapes of a SCRaMbLEd yeast genome..

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

Summary 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 a new avenue where the method is... Read More about Meso-scale method of asymptotic analysis of elastic vibrations in periodic and non-periodic multi-structures.

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.

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

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 inevitabl... Read More about Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features.

Asymptotic derivation of 2D dynamic equations of motion for transversely inhomogeneous elastic plates (2022)
Journal Article
Kaplunov. (2022). Asymptotic derivation of 2D dynamic equations of motion for transversely inhomogeneous elastic plates. International Journal of Engineering Science, https://doi.org/10.1016/j.ijengsci.2022.103723

The 3D dynamic equations in elasticity for a thin transversely inhomogeneous plate are subject to asymptotic analysis over the low-frequency range. The leading and first order approximations are derived. The former is given by a biharmonic equation o... Read More about Asymptotic derivation of 2D dynamic equations of motion for transversely inhomogeneous elastic plates.

The Importance of the Correlation in Crossover Experiments (2022)
Journal Article
Kitchenham, B., Madeyski, L., Scanniello, G., & Gravino, C. (2022). The Importance of the Correlation in Crossover Experiments. IEEE Transactions on Software Engineering, 48(8), 2802 - 2813. https://doi.org/10.1109/tse.2021.3070480

Context: In empirical software engineering, crossover designs are popular for experiments comparing software engineering techniques that must be undertaken by human participants. However, their value depends on the correlation ( r ) between the outco... Read More about The Importance of the Correlation in Crossover Experiments.

A refined model for the buckling of film/substrate bilayers (2022)
Journal Article
Wang, G., Liu, Y., & Fu, Y. (2022). A refined model for the buckling of film/substrate bilayers. Mathematics and Mechanics of Solids, https://doi.org/10.1177/10812865221107072

The classical reduced model for film/substrate bilayers is the one in which the film is governed by the Euler–Bernoulli beam equation, and the substrate is replaced by an array of springs (the so-called Winkler foundation assumption). We derive a ref... Read More about A refined model for the buckling of film/substrate bilayers.

Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition (2022)
Journal Article
Mandal, B. (2022). Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition. Signal Processing: Image Communication, 116818 - 116818. https://doi.org/10.1016/j.image.2022.116818

Image/video based defect recognition is a crucial task in automating visual inspection of concrete structures. Although some progress has been made to automatically recognize defects in concrete structural images, significant challenges still exist.... Read More about Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition.

Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints (2022)
Journal Article
Fan, & Samende. (2022). Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints. Applied Energy, https://doi.org/10.1016/j.apenergy.2022.119123

In this paper, we investigate an energy cost minimization problem for prosumers participating in peer-to-peer energy trading. Due to (i) uncertainties caused by renewable energy generation and consumption, (ii) difficulties in developing an accurate... Read More about Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints.

SoK: Context and Risk Aware Access Control for Zero Trust Systems (2022)
Journal Article
Newe, T., Lee, B., Xiao, S., Ye, Y., & Kanwal, N. (2022). SoK: Context and Risk Aware Access Control for Zero Trust Systems. Security and Communication Networks, https://doi.org/10.1155/2022/7026779

Evolving computing technologies such as cloud, edge computing, and the Internet of Things (IoT) are creating a more complex, dispersed, and dynamic enterprise operational environment. New security enterprise architectures such as those based on the c... Read More about SoK: Context and Risk Aware Access Control for Zero Trust Systems.

Card Sorting for User Experience Design (2022)
Journal Article
De Quincey, E., & Mitchell, J. (2022). Card Sorting for User Experience Design. Interacting with Computers, 33(4), 442 - 457. https://doi.org/10.1093/iwc/iwac002

This paper reviews types and uses of card sorting and how a relatively unpopularized variation of card sorting-'repeated single-criterion sorting'-can be applied to the information architecture design of digital music services. A total of 52 responde... Read More about Card Sorting for User Experience Design.

A Multi-Dimensional and Multi-Factor Trust Computation Framework for Cloud Services (2022)
Journal Article
Junejo. (2022). A Multi-Dimensional and Multi-Factor Trust Computation Framework for Cloud Services. Electronics, https://doi.org/10.3390/electronics11131932

In this paper, we propose a novel trust computation framework (TCF) for cloud services. Trust is computed by taking into consideration multi-dimensional quality of service (QoS) evidence and user feedback. Feedback provides ample evidence regarding t... Read More about A Multi-Dimensional and Multi-Factor Trust Computation Framework for Cloud Services.

Benchmark computations for the polarization tensor characterization of small conducting objects (2022)
Journal Article
Amad, A., Ledger, P. D., Betcke, T., & Praetorius, D. (2022). Benchmark computations for the polarization tensor characterization of small conducting objects. Applied Mathematical Modelling, 111, 94-107. https://doi.org/10.1016/j.apm.2022.06.024

The characterisation of small low conducting inclusions in an otherwise uniform background from low-frequency electrical field measurements has important applications in medical imaging using electrical impedance tomography as well as in geological i... Read More about Benchmark computations for the polarization tensor characterization of small conducting objects.

Responsibility, Recourse, and Redress: A Focus on the Three R’s of AI Ethics (2022)
Journal Article
Gardner, A. (in press). Responsibility, Recourse, and Redress: A Focus on the Three R’s of AI Ethics. IEEE Technology and Society Magazine, 41(2), 84-89. https://doi.org/10.1109/mts.2022.3173342

In August 2020, students took to the streets of London in a mass protest over their A-level results (that determine entry to university), chanting “F*ck the algorithm.” Their A-level grades had been determined by an algorithm that depended on past sc... Read More about Responsibility, Recourse, and Redress: A Focus on the Three R’s of AI Ethics.

Super-forecasting the 'technological singularity' risks from artificial intelligence (2022)
Journal Article
Ani, Radanliev, P., De Roure, D., Maple, C., & Ani, U. (2022). Super-forecasting the 'technological singularity' risks from artificial intelligence. Evolving Systems, 13(5), 747-757. https://doi.org/10.1007/s12530-022-09431-7

This article investigates cybersecurity (and risk) in the context of ‘technological singularity’ from artificial intelligence. The investigation constructs multiple risk forecasts that are synthesised in a new framework for counteracting risks from a... Read More about Super-forecasting the 'technological singularity' risks from artificial intelligence.

Using large random permutations to partition permutation classes (2022)
Journal Article
Bean, C., Nadeau, E., Pantone, J., & Ulfarsson, H. (2022). Using large random permutations to partition permutation classes. https://doi.org/10.2478/puma-2022-0006

Abstract Permutation classes are sets of permutations defined by the absence of certain substructures. In some cases permutation classes can be decomposed as unions of subclasses. We use combinatorial specifications automatically discovered by Combin... Read More about Using large random permutations to partition permutation classes.