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Outputs (2)

Evolving multi-valued regulatory networks on tuneable fitness landscapes (2023)
Journal Article
Bull, L. (2023). Evolving multi-valued regulatory networks on tuneable fitness landscapes. Complex Systems -Champaign-, 32(3), 289-307. https://doi.org/10.25088/ComplexSystems.32.3.289

Random Boolean networks have been used widely to explore aspects of gene regulatory networks. As the name implies, traditionally the model has used a binary representation scheme. This paper uses a modified form of the model to systematically explore... Read More about Evolving multi-valued regulatory networks on tuneable fitness landscapes.

A systematic review of machine-learning solutions in anaerobic digestion (2023)
Journal Article
Rutland, H., You, J., Liu, H., Bull, L., & Reynolds, D. (2023). A systematic review of machine-learning solutions in anaerobic digestion. Bioengineering, 10(12), Article 1410. https://doi.org/10.3390/bioengineering10121410

The use of machine learning (ML) in anaerobic digestion (AD) is growing in popularity and improves the interpretation of complex system parameters for better operation and optimisation. This systematic literature review aims to explore how ML is curr... Read More about A systematic review of machine-learning solutions in anaerobic digestion.