3 papers
quant-ph2025
A Graph-Based Classical and Quantum Approach to Deterministic L-System Inference
Ali Lotfi, Ian McQuillan, Steven Rayan
L-systems can be made to model and create simulations of many biological processes, such as plant development. Finding an L-system for a given process is typically solved by hand,…
cs.LG2024
Optimal L-Systems for Stochastic L-system Inference Problems
Ali Lotfi, Ian McQuillan
This paper presents two novel theorems that address two open problems in stochastic Lindenmayer-system (L-system) inference, specifically focusing on the construction of an optimal…
cs.CV2024
Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola
Nazifa Azam Khan, Mikolaj Cieslak, Ian McQuillan
Artificial neural networks are often used to identify features of crop plants. However, training their models requires many annotated images, which can be expensive and time-consum…