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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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Do deepfakes, digital replicas and human digital twins justify personality rights? See

Unauthorised deepfakes are deeply problematic, from the spreading of misinformation to non-consensual pornographic content. This paper asks whether deepfakes, digital replicas and human digital twins justify personality rights. To address this question, it examines the harms that deepfakes can cause&#...

Optimising electric vehicle charging stations on UK motorways using deep neural networks: A scenario-based case study of the M40 See

The UK’s electric vehicle (EV) adoption is accelerating rapidly, with over 1.4 million EVs on the road and projections reaching 14 million by 2030. However, while approximately 75,000 public chargers have been installed to date, this remains far short of the govern-ment’s 300,000 t...

High-Frequency-Aware Multi-Task Learning and Transformation Consistency for Semi-Supervised Electromagnetic Shielding Optical Window Image Segmentation See

The electromagnetic shielding optical windows (OWs) are critical components in modern aircraft and electronic instruments. Accurate segmentation of crack template images can quantitatively analyze their structural parameters, thereby facilitating OWs design and manufacturing. However, pixel-level annotation is ...

Analyzing the Impact of Depth Features on Point Track Performance See

The multi-object tracking and segmentation task in urban traffic scenes in for improving autonomous driving, poses ongoing challenges from occlusions, lighting variations, and background noise interferences. We tackle the issue of identity switches by enhancing the existing PointTrack framework, by&#x...

Multi-omic analyses reveal a differential contribution of chromatin-associated PP1 holoenzymes to mitotic exit and G1 re-establishment See

Mitotic exit is an important part of the cell cycle, requiring the coordination of many chromatin and cytoskeleton remodeling events to successfully complete cell division and maintain cell identity. Protein dephosphorylation is a key step in directing mitotic exit, and protein phosphatase&#...

Measurements of the Higgs boson production cross section in the four-lepton final state in proton-proton collisions at √𝒔 = 13.6 TeV See

The measurements of the Higgs boson (H) production cross sections performed by the CMS Collaboration in the four-lepton (4ℓ, ℓ = e, μ) final state at a center-of-mass energy √𝒔 = 13.6 TeV are presented. These measurements are based on data collected with the CMS detector...

Search for jet quenching with dijets from high-multiplicity pPb collisions at √𝒔<sub>NN</sub> = 8.16 TeV See

The first measurement of the dijet transverse momentum balance <i>x<sub>j</sub></i> in proton-lead (pPb) collisions at a nucleon-nucleon center-of-mass energy of √𝒔<sub>NN</sub> = 8.16 TeV is presented. The <i>x<sub>j</sub></i> observable, defined as the&#...

Search for 𝑏-hadron decays to long-lived particles in the CMS endcap muon detectors See

A search for long-lived particles originating from the decay of 𝑏 hadrons produced in proton-proton collisions with a center-of-mass energy of 13 TeV at the LHC is presented. The analysis is performed on a dataset recorded in 2018, corresponding to an integrated luminosity of ...

Measurement of light-by-light scattering and the Breit-Wheeler process, and search for axion-like particles in ultraperipheral PbPb collisions at √𝒔<sub>NN</sub> = 5.02 TeV See

Measurements of light-by-light scattering (LbL, <i>γγ</i> → <i>γγ</i>) and the Breit-Wheeler process (BW, <i>γγ</i> → <i>e⁺e⁻</i>) are reported in ultraperipheral PbPb collisions at a centre-of-mass energy per nucleon pair of 5.02 TeV. The data sample, c...

Spatial–Temporal Deep Learning for Electric-Vehicle Charging Demand: An Exploratory Study of Graph Convolutional and LSTM Networks Performance See

Electric-vehicle (EV) charging is a localized, time-varying load that challenges distribution networks. This study offers practical insights into when spatial graph structure adds value beyond temporal context, utilizing real-world data and a transparent evaluation. We compare Long Short-Term Memory (...

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Brunel Business School *

Part of College of Business, Arts and Social Sciences until 2024/25

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Known as College of Business, Arts and Social Sciences until 2024/25

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Discover

Author
  • 1391 Wang, Z
  • 1359 Adam, W
  • 1356 Bergauer, T
  • 1355 Dragicevic, M
  • 1354 Clerbaux, B
  • 1348 Lowette, S
  • 1342 Waltenberger, W
  • 1341 Vanlaer, P
  • 1336 Liko, D
  • 1334 Jeitler, M
  • . next >
Subject
  • 277 CMS
  • 265 Physics
  • 219 Science & Technology
  • 169 COVID-19
  • 164 Hadron-Hadron scattering (experim...
  • 145 machine learning
  • 135 deep learning
  • 123 artificial intelligence
  • 109 sustainability
  • 101 Physical Sciences
  • . next >
Date issued
  • 29593 2000 - 2026
  • 1232 1900 - 1999
  • 3 1830 - 1899
Library (c) Brunel University. Updated: December 19th,2023

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