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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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Search for a heavy resonance decaying into a Z and a Higgs boson in events with an energetic jet and two electrons, two muons, or missing transverse momentum in proton-proton collisions at √𝒔 = 13 TeV See

A search is presented for a heavy resonance decaying into a Z boson and a Higgs (H) boson. The analysis is based on data from proton-proton collisions at a centre-of-mass energy of 13 TeV corresponding to an integrated luminosity of 138 fb⁻¹, recorded with the CMS ex...

Model-independent search for pair production of new bosons decaying into muons in proton-proton collisions at √𝒔 = 13 TeV See

The results of a model-independent search for the pair production of new bosons within a mass range of 0.21 < m < 60 GeV, are presented. This study utilizes events with a four-muon final state. We use two data sets, comprising 41.5 fb⁻¹ and 59.7 fb⁻¹ of pr...

Analytical characterization of grid-forming converter response time under voltage sags See

The response time of grid-forming (GFM) converters under grid disturbances is a critical metric that reflects how fast GFM capabilities can be delivered. In this letter, the analytical expression for the response time under voltage sags is derived using the geometric singular perturbati...

Enhancing Intelligence in Multi-Agent Systems with Edge-Assisted Causal Knowledge Aggregation See

Dynamic and uncertain environments pose major challenges for multi-agent autonomous systems, particularly in achieving robust simultaneous localization and mapping (SLAM) and efficient knowledge sharing across robots. Conventional data-driven methods often overlook underlying causal structures, resulting in spurious...

Optimizing AI-Based Traffic Sign Recognition in Electric Vehicles with GELU-Activated CNNs See

Traffic sign recognition is critical for intelligent transportation systems and autonomous driving. Conventional convolutional neural networks (CNNs) typically utilize the ReLU activation function for its computational efficiency; however, alternative activation functions can improve computing effectiveness capacity ...

Evaluating Assistive Product With Designers: How To Understand And Address User Stigma Around Visible And Invisible Disability See

At the DRS conversation held on June 24, 2024, in Boston, researchers from Brunel University engaged in a discourse with ten audience members from diverse global backgrounds on the issue of user stigma in assistive product design. The purpose of this conversation was to...

Understanding stigma through camera-based mobile apps: studies on visually impaired users See

This study used multiple methods to investigate the stigma experienced by visually impaired people (VIP) when using a camera-based assistive mobile application. Initial investigations, including semi-structured interviews with VIP and a formalised expert conversation with academics and designers, highlight...

Advancing Sustainable Agricultural Practices in Africa with AI: Interdisciplinary Approaches to Inclusivity and Resilience See

Artificial intelligence (AI) is increasingly positioned as a transformative tool in agriculture, yet existing solutions primarily cater to large-scale farms in the Global North, often overlooking the socio-cultural and infrastructural realities of smallholder farmers in Africa. This workshop interrogates&#...

Internet media and depression in older adults experiencing pain: Evidence from a five-year longitudinal study (2018–2023) See

Background: Pain is a significant risk factor for depression among older adults. While prior studies suggest that internet media may improve mental well-being, it remains unclear whether such media can reduce pain-related depression. Objectives: This five-year longitudinal st...

Large Language Model-Based Task Offloading and Resource Allocation for Digital Twin Edge Computing Networks See

In this paper, we propose a general digital twin edge computing network comprising multiple vehicles and a server. Each vehicle generates multiple computing tasks within a time slot, leading to queuing challenges when offloading tasks to the server. The study investigates task offloadin...

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Communities in BURA

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Brunel Business School *

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

College of Arts, Law and Social Sciences *

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

College of Engineering, Design and Physical Sciences

College of Health, Medicine and Life Sciences

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Discover

Author
  • 1320 Mikulec, I
  • 1314 De Lentdecker, G
  • 1303 Tumasyan, A
  • 1286 Van Mechelen, P
  • 1281 Dobur, D
  • 1249 Blekman, F
  • 1194 Van Doninck, W
  • 1193 Tytgat, M
  • 1160 De Wolf, EA
  • 1146 Van Remortel, N
  • . < previous next >
Subject
  • 277 CMS
  • 265 Physics
  • 219 Science & Technology
  • 169 COVID-19
  • 164 Hadron-Hadron scattering (experim...
  • 145 machine learning
  • 134 deep learning
  • 122 artificial intelligence
  • 109 sustainability
  • 101 Physical Sciences
  • . next >
Date issued
  • 29571 2000 - 2026
  • 1232 1900 - 1999
  • 3 1830 - 1899
Library (c) Brunel University. Updated: December 19th,2023

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