Institution
Brunel University London
Education•London, 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: Context (language use) & Large Hadron Collider. The organization has 10918 authors who have published 29515 publications receiving 893330 citations. The organization is also known as: Brunel & University of Brunel.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the first study of isolated photon + jet correlations in relativistic heavy ion collisions is reported using data from PbPb collisions at a centre-of-mass energy of 2.76 TeV2.
188 citations
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TL;DR: In this paper, the mature situation for polymer matrix composites (PMCs) is discussed, and the main text is devoted to the variety of routes available for processing MMCs.
188 citations
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TL;DR: A new mean shift based fuzzy c-means algorithm that requires less computational time than previous techniques while providing good segmentation results is introduced.
Abstract: Image segmentation is an important task in analysing dermoscopy images as the extraction of the borders of skin lesions provides important cues for accurate diagnosis. One family of segmentation algorithms is based on the idea of clustering pixels with similar characteristics. Fuzzy c-means has been shown to work well for clustering based segmentation, however due to its iterative nature this approach has excessive computational requirements. In this paper, we introduce a new mean shift based fuzzy c-means algorithm that requires less computational time than previous techniques while providing good segmentation results. The proposed segmentation method incorporates a mean field term within the standard fuzzy c-means objective function. Since mean shift can quickly and reliably find cluster centers, the entire strategy is capable of effectively detecting regions within an image. Experimental results on a large dataset of diverse dermoscopy images demonstrate that the presented method accurately and efficiently detects the borders of skin lesions.
187 citations
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TL;DR: By utilizing the stability theory for impulsive functional differential equations, several new criteria are obtained to ensure the robust synchronization of coupled networks via impulsive control via Impulsive control with time delays.
Abstract: This paper investigates the synchronization scheme of coupled neural networks with time delays. The coupling function, which can be linear or nonlinear, is subject to uncertainties in the network. By utilizing the stability theory for impulsive functional differential equations, several new criteria are obtained to ensure the robust synchronization of coupled networks via impulsive control. Furthermore, an estimation of the predicted stable region is derived to facilitate the design of the control gain. Finally, numerical simulations are presented to demonstrate the effectiveness of our results.
187 citations
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TL;DR: It is argued that gathering experimental data in fish for these compounds may be done more efficiently by considering mammalian toxicology data, and conceptual mathematical models suggest it might be possible to predict plasma concentrations of beta-blockers in fish from mammals, although these models cannot be regarded as reliable until thoroughly validated.
187 citations
Authors
Showing all 11074 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Yang | 171 | 2644 | 153049 |
Hongfang Liu | 166 | 2356 | 156290 |
Gavin Davies | 159 | 2036 | 149835 |
Marjo-Riitta Järvelin | 156 | 923 | 100939 |
Matt J. Jarvis | 144 | 1064 | 85559 |
Alexander Belyaev | 142 | 1895 | 100796 |
Louis Lyons | 138 | 1747 | 98864 |
Silvano Tosi | 135 | 1712 | 97559 |
John A Coughlan | 135 | 1312 | 96578 |
Kenichi Hatakeyama | 134 | 1731 | 102438 |
Kristian Harder | 134 | 1613 | 96571 |
Peter R Hobson | 133 | 1590 | 94257 |
Christopher Seez | 132 | 1256 | 89943 |
Liliana Teodorescu | 132 | 1471 | 90106 |
Umesh Joshi | 131 | 1249 | 90323 |