45 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
7 papers
HMB-GAN: Hybrid Multi-Bézier GAN for Vector Shape Synthesis
Elian Hugh Thiele-Evans, Binh Duong Pham, Hani Omar M Alharbi +5
We explore the use of hybrid quantum-classical generative adversarial networks for synthesising CAD-ready vector geometries. Unlike prior work that operates in rasterised or single…
Epistemoverse: Toward an AI-Driven Knowledge Metaverse for Intellectual Heritage Preservation
Predrag K. Nikolić, Robert Prentner
Large language models (LLMs) have often been characterized as "stochastic parrots" that merely reproduce fragments of their training data. This study challenges that assumption by…
ECMNet:Lightweight Semantic Segmentation with Efficient CNN-Mamba Network
Feixiang Du, Shengkun Wu
In the past decade, Convolutional Neural Networks (CNNs) and Transformers have achieved wide applicaiton in semantic segmentation tasks. Although CNNs with Transformer models great…
Nematic ordering dynamics of an anti-ferromagnetic spin-1 condensate
L M Symes, P. B. Blakie
We consider the formation of order in a quasi-two-dimensional (quasi-2D) anti-ferromagnetic spin-1 condensate quenched from an easy-axis (EA) to an easy-plane (EP) nematic phase. W…
Coarsening dynamics of an isotropic ferromagnetic superfluid
Lewis A. Williamson, P. B. Blakie
In zero magnetic field the ground state manifold of a ferromagnetic spin-1 condensate is SO(3) and exhibits vortices as topological defects. We investigate the phase…
Dynamical systems in cosmology
Christian G. Boehmer, Nyein Chan
Cosmology is a well established research area in physics while dynamical systems are well established in mathematics. It turns out that dynamical system techniques are very well su…
The Application of Mamdani Fuzzy Model for Auto Zoom Function of a Digital Camera
I. Elamvazuthi, P. Vasant, J. F. Webb
Mamdani Fuzzy Model is an important technique in Computational Intelligence (CI) study. This paper presents an implementation of a supervised learning method based on membership fu…