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Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.

Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.

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  1. Brunel University Research Archive

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Encryption-Decryption-Based Particle Filtering for Stochastic Systems With Randomly Switching Nonlinearities and Sensor Resolutions See

In this paper, the secure particle filtering problem is investigated for a class of stochastic nonlinear systems subject to non-Gaussian noises and randomly switching nonlinearities. As an essential characteristic of real-world sensors, the sensor resolution is incorporated into the measurement m...

Privacy-Preserving Pinning Synchronization for Time-Delay Complex Networks: A Noise Injection Scheme See

This paper is concerned with the privacy-preserving synchronization problem for a class of nonlinear time-delay complex networks under the pinning control approach. To synchronize the network nodes with the unforced target node and protect the private initial states of the underlying network...

A Transfer-Learning-Assisted Role-Differentiated Approach for Industrial Outlier Detection under Label Noise See

In this paper, a novel role-differentiated learning with noisy label (RD-LNL) approach is proposed for industrial outlier detection. A leader-follower-inspired sample selection (LFSS) strategy is introduced to choose relatively "clean samples" for establishing a robust outlier detector against la...

A Novel Particle Swarm Optimizer with Randomly Occurring Uncertainty See

Particle Swarm Optimization (PSO) has been widely applied due to its simplicity and effectiveness in solving optimization problems. However, PSO often suffers from premature convergence and stagnation in local optima, especially in complex search spaces. This paper proposes a novel PSO algor...

Analytical Solution to Optimal Distributed Bipartite Consensus for Heterogeneous Multi-Agent Systems on Coopetition Networks: A Fast Convergent Algorithm See

This note makes the first attempt to investigate the optimal bipartite consensus problem in the general case for heterogeneous multi-agent systems with cooperative-competitive interactions, specifically those containing a spanning tree. Unlike traditional control protocols based on the gradient descent...

Dynamic Network Representation Learning Method Based on Improved GRU Network See

As social networks have been rapidly growing, traditional network representation learning methods are struggling to accurately characterize their dynamic changes, and to output effective node classification and link prediction. To address this problem, this paper proposes IproGRU, a dynamic network&#x...

A MapReduce based distributed LSI for scalable information retrieval See

Latent Semantic Indexing (LSI) has been widely used in information retrieval due to its efficiency in solving the problems of polysemy and synonymy. However, LSI is notably a computationally intensive process because of the computing complexities of singular value decomposition and filtering...

Integration of link and semantic relations for information recommendation See

Information services on the Internet are being used as an important tool to facilitate discovery of the information that is of user interests. Many approaches have been proposed to discover the information on the Internet, while the search engines are the most common ones. How...

Taking pride from cultures of shame: The influence of cultural values on the development of internalised attitudes towards same-sex attraction in gay men across cultures See

Theoretically, internalised homonegativity (IH-) has been studied by mainstream and lesbian, gay, bisexual, trans and queer (LGBTQ) psychology as an ill-defined individual difference investigated over several paradigms. Historically, psychology’s heterosexist bias has focussed on IH- as a path...

A novel kernel for text classification based on semantic and statistical information See

In text categorization, a document is usually represented by a vector space model which can accomplish the classification task, but the model cannot deal with Chinese synonyms and polysemy phenomenon. This paper presents a novel approach which takes into account both the semantic a...

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Author
  • 1106 Janssen, X
  • 1103 Van Mulders, P
  • 1098 Tavernier, S
  • 1057 Cornelis, T
  • 1052 Sirunyan, AM
  • 1046 Vander Velde, C
  • 1043 Van Haevermaet, H
  • 1029 Favart, L
  • 1029 Kyberd, P
  • 1029 Thomas, L
  • . < previous next >
Subject
  • 275 CMS
  • 265 Physics
  • 219 Science & Technology
  • 165 COVID-19
  • 164 Hadron-Hadron scattering (experim...
  • 139 machine learning
  • 129 deep learning
  • 115 artificial intelligence
  • 104 sustainability
  • 101 Physical Sciences
  • . next >
Date issued
  • 29038 2000 - 2026
  • 1232 1900 - 1999
  • 3 1830 - 1899
Library (c) Brunel University. Updated: December 19th,2023

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