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Mobility patterns are associated with experienced income segregation in large US cities
Published 2021“…To further understand these fine-grained income segregation patterns, we introduce a Schelling extension of a well-known mobility model, and show that experienced income segregation is associated with an individual’s tendency to explore new places (place exploration) as well as places with visitors from different income groups (social exploration). …”
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Article -
1088
Temporal perturbation of ERK dynamics reveals network architecture of FGF2/MAPK signaling
Published 2024“…Our results provide novel insights into how different receptor tyrosine kinase (RTK) systems differentially wire the MAPK network to fine‐tune fate decisions at the cell population level.…”
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Article -
1089
A guide to being the elephant in the room : a study on the residual behaviours stemming from bodyweight stigma
Published 2020Get full text
Final Year Project (FYP) -
1090
Mu (em-power-you) : a jewelry brand inspired by the stories of different communities
Published 2021Get full text
Final Year Project (FYP) -
1091
Aspect-based sentiment analysis using BERT
Published 2022“…Aspect-based sentiment analysis extracts and identifies fine-grained sentiment polarities for a specific aspect. …”
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Final Year Project (FYP) -
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Visual mapping art : data visualization & crowdsourcing for an ostensive definition of art
Published 2023“…The core data will be gathered from existing art databases, such as the Library of Congress (LCC) (Class-N - Fine Arts) and the Universal Decimal Classification (UDC) (73/76 Various arts & crafts); and controlled vocabulary systems such as Art & Architecture Thesaurus (AAT). …”
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Thesis-Master by Research -
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Deep learning for fabric defect detection
Published 2024“…The base models, YOLOv8 and RT-DETR, are fine-tuned on a dataset of patterned fabric defects to find the optimal model configurations. …”
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Final Year Project (FYP) -
1096
Value investment with machine learning
Published 2024“…Further optimization led to the creation of the Improved Fundamental and Technical Factors Model, which achieved an impressive annualized return of 50\% and a Sharpe ratio of 1.85. After fine-tuning key parameters, the final optimized model demonstrated exceptional performance, with an annualized return of 59.82\%, a Sharpe ratio of 2.13, and a win rate of 75\%. …”
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Final Year Project (FYP) -
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Microstructural evolution during mechanical milling of Nd-Fe-B nanocomposites
Published 2011“…The rate of chemical disorder as a function of milling intensity was studied by Extended X-ray Absorption Fine Structure (EXAFS) technique. XRD results revealed that higher milling intensity increased the rate of phase transformation and the rate of change in crystal sizes and strain but did not affect the steady state phase composition. …”
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Final Year Project (FYP) -
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