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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.

Towards arithmetic circuits in sub-excitable chemical media (2011)
Journal Article
Adamatzky, A., De Lacy Costello, B., Bull, L., & Holley, J. (2011). Towards arithmetic circuits in sub-excitable chemical media. Israel Journal of Chemistry, 51(1), 56-66. https://doi.org/10.1002/ijch.201000046

A sub-excitable Belousov-Zhabotinsky medium exhibits localized travelling excitations (in contrast to an excitable medium exhibiting target or spiral waves). Initially assymetric perturbations give birth to excitation wave-fragments. The shape and ve... Read More about Towards arithmetic circuits in sub-excitable chemical media.

Stochastic automated search methods in cellular automata: The discovery of tens of thousands of glider guns (2010)
Journal Article
Sapin, E., Adamatzky, A., Collet, P., & Bull, L. (2010). Stochastic automated search methods in cellular automata: The discovery of tens of thousands of glider guns. Natural Computing, 9(3), 513-543. https://doi.org/10.1007/s11047-009-9109-0

This paper deals with the spontaneous emergence of glider guns in cellular automata. An evolutionary search for glider guns with different parameters is described and other search techniques are also presented to provide a benchmark. We demonstrate t... Read More about Stochastic automated search methods in cellular automata: The discovery of tens of thousands of glider guns.