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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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Experimental investigation on the control and load characteristics of active wing morphing aircraft concept See

Recent developments in morphing aircraft research have made researchers re-examine more “morphing” technologies and techniques. The purpose of this study was to explore new concepts of adaptive wings and/or winglets to improve aircraft control and performance. The primary variable investigated&#x...

Characterising the performance benefits of a 1/7th scale morphing rotor blade See

Rotary-wing aircrafts serve as indispensable components in the advancement of aviation, valued for their ability to operate in diverse and challenging environments without the need for conventional runways. This versatility makes them ideal for applications such as environmental conservation, precisio...

Causes of evolutionary divergence in prostate cancer See

Cancer progression involves the sequential accumulation of genetic alterations that cumulatively shape the tumour phenotype. In prostate cancer, tumours can follow divergent evolutionary trajectories that lead to distinct subtypes, but the causes of this divergence remain unclear. While causal inferen...

Designing an optimised hinged Magnetic Flux Leakage (MFL) system for remote localised defect monitoring in tank floors and pipelines See

A significant demand exists for magnetic flux leakage (MFL) systems designed for permanent installation in difficult-to-access areas, such as pipe elbows, where localised corrosion occurrences are prevalent. These systems enable continuous and long-term remote monitoring. Designing a magnetic circuit ...

Search for dark matter produced in association with a pair of bottom quarks in proton-proton collisions at √s = 13 TeV See

A search for dark matter (DM) particles produced in association with bottom quarks is presented. The analysis uses proton-proton collision data at a center-of-mass energy of √s = 13 TeV, corresponding to an integrated luminosity of 138 fb<sup>−1</sup>. The search is performe...

The Use of Machine Learning In Assessing Future Sustainability of Newly Developed Solar Thermal Systems See

An artificial neural network (ANN) model developed in MATLAB was used to predict the environmental performance of an innovative solar thermal system, ASTEP (Application of Solar Energy to Industrial Processes) over a 30-year period. The system was applied to the industrial processes of&...

Advancing Sustainability through Varied Scenarios of a Residential Building in Europe: A Case Study See

This study evaluates the environmental and economic performance of the "ESTIA of Athens" residential building considering its energy consumption and greenhouse gas (GHG) emissions. It also explores the potential for improvements in these areas. The European Union's strategy to reduce...

The Impact of Regulatory Changes on Rating Shopping and Rating Catering Behavior in the European Securitization Market See

...

Search for Higgs boson pair production in the bb¯W+W− decay mode in proton-proton collisions at √s = 13 TeV See

A search for Higgs boson pair (HH) production with one Higgs boson decaying to two bottom quarks and the other to two W bosons are presented. The search is done using proton-proton collisions data at a centre-of-mass energy of 13 TeV, corresponding to an integrated lumino...

The role of Earth Observation in supporting holistic coastal lagoon management See

Coastal lagoons, representing 13% of the world’s coastline, are dynamic and globally significant ecosystems that serve as vital habitats for diverse species, provide crucial ecosystem services, and support the livelihoods of millions of people. These unique systems are characterised by their ...

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Author
  • 732 Stahl, A
  • 731 Sharma, A
  • 730 Mirabito, L
  • 730 Rossi, AM
  • 729 Boudoul, G
  • 728 Cutts, D
  • 728 Hall, G
  • 727 Feld, L
  • 727 Harder, K
  • 726 Bloch, D
  • . < previous next >
Subject
  • 274 CMS
  • 265 Physics
  • 219 Science & Technology
  • 164 Hadron-Hadron scattering (experim...
  • 163 COVID-19
  • 135 machine learning
  • 125 deep learning
  • 111 artificial intelligence
  • 101 Physical Sciences
  • 93 sustainability
  • . next >
Date issued
  • 28614 2000 - 2026
  • 1232 1900 - 1999
  • 3 1830 - 1899
Library (c) Brunel University. Updated: December 19th,2023

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