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Institution

Brunel University London

EducationLondon, United Kingdom
About: Brunel University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Large Hadron Collider & Population. The organization has 10918 authors who have published 29515 publications receiving 893330 citations. The organization is also known as: Brunel & University of Brunel.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors considered a class of stochastic neural networks with mixed time-delays and parameter uncertainties and derived easy-to-test criteria under which the delayed neural network is globally robustly, exponentially stable in the mean square for all admissible parameter uncertainties.
Abstract: This paper is concerned with the global exponential stability analysis problem for a class of stochastic neural networks with mixed time-delays and parameter uncertainties. The mixed delays comprise discrete and distributed time-delays, the parameter uncertainties are norm-bounded, and the neural networks are subjected to stochastic disturbances described in terms of a Brownian motion. The purpose of the stability analysis problem is to derive easy-to-test criteria under which the delayed stochastic neural network is globally, robustly, exponentially stable in the mean square for all admissible parameter uncertainties. By resorting to the Lyapunov–Krasovskii stability theory and the stochastic analysis tools, sufficient stability conditions are established by using an efficient linear matrix inequality (LMI) approach. The proposed criteria can be checked readily by using recently developed numerical packages, where no tuning of parameters is required. An example is provided to demonstrate the usefulness of the proposed criteria.

182 citations

Journal ArticleDOI
TL;DR: In this article, the role of physical and mechanical properties of metals in wear is discussed. But the authors do not consider the effect of operating conditions on the life of components. And they do not provide a detailed analysis of the wear properties of materials in service.

182 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2195 moreInstitutions (176)
TL;DR: In this article, the authors used a large extra dimensions model and a quark and lepton compositeness model with a left-left isoscalar contact interaction to search for both narrow resonances and broad deviations from standard model predictions.
Abstract: Dimuon and dielectron mass spectra, obtained from data resulting from proton-proton collisions at 8 TeV and recorded by the CMS experiment, are used to search for both narrow resonances and broad deviations from standard model predictions. The data correspond to an integrated luminosity of 20.6 (19.7) fb^(−1) for the dimuon (dielectron) channel. No evidence for non-standard-model physics is observed and 95% confidence level limits are set on parameters from a number of new physics models. The narrow resonance analyses exclude a Sequential Standard Model Z'_(SSM) resonance lighter than 2.90 TeV, a superstring-inspired Z'_ψ lighter than 2.57 TeV, and Randall-Sundrum Kaluza-Klein gravitons with masses below 2.73, 2.35, and 1.27 TeV for couplings of 0.10, 0.05, and 0.01, respectively. A notable feature is that the limits have been calculated in a model-independent way to enable straightforward reinterpretation in any model predicting a resonance structure. The observed events are also interpreted within the framework of two non-resonant analyses: one based on a large extra dimensions model and one based on a quark and lepton compositeness model with a left-left isoscalar contact interaction. Lower limits are established on MS, the scale characterizing the onset of quantum gravity, which range from 4.9 to 3.3 TeV, where the number of additional spatial dimensions varies from 3 to 7. Similarly, lower limits on Λ, the energy scale parameter for the contact interaction, are found to be 12.0 (15.2) TeV for destructive (constructive) interference in the dimuon channel and 13.5 (18.3) TeV in the dielectron channel.

182 citations

Journal ArticleDOI
TL;DR: It is suggested that a major role of growth hormone during starvation is to aid in the mobilisation of fatty acids and glycerol from adipose stores, and a strong negative correlation was observed between the plasma growth hormone level and the coefficient of condition of the fish.

182 citations

Journal ArticleDOI
TL;DR: The final outcome of the instrument development process was a parsimonious, 39‐item instrument, consisting of ten scales, all with acceptable levels of content validity, reliability and construct validity.
Abstract: Purpose – To describe the development of a survey instrument designed to measure consumer perceptions of the broadband adoption within the UK households.Design/methodology/approach – A survey research approach was employed to achieve overall aim and following three objectives of this research: to identify initial items that may help to explain the broadband adoption behaviour and determine them employing an exploratory survey approach; to confirm the representativeness of items to a particular construct domain employing content validity approach; and finally, to test the instrument in order to confirm the reliability of items and construct validity.Findings – The final outcome of the instrument development process that culminated from the confirmatory study was a parsimonious, 39‐item instrument, consisting of ten scales, all with acceptable levels of content validity, reliability and construct validity.Practical implications – The developed instrument is relevant to both academic and practitioner communi...

181 citations


Authors

Showing all 11074 results

NameH-indexPapersCitations
Yang Yang1712644153049
Hongfang Liu1662356156290
Gavin Davies1592036149835
Marjo-Riitta Järvelin156923100939
Matt J. Jarvis144106485559
Alexander Belyaev1421895100796
Louis Lyons138174798864
Silvano Tosi135171297559
John A Coughlan135131296578
Kenichi Hatakeyama1341731102438
Kristian Harder134161396571
Peter R Hobson133159094257
Christopher Seez132125689943
Liliana Teodorescu132147190106
Umesh Joshi131124990323
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202380
2022235
20211,532
20201,475
20191,445
20181,345