All Outputs (3)

Critical mutation rate has an exponential dependence on population size in haploid and diploid populations (2013)
Journal Article
Ashton, E., Channon, A., Day, C., & Knight, C. (2013). Critical mutation rate has an exponential dependence on population size in haploid and diploid populations. PloS one, e83438 -e83438. https://doi.org/10.1371/journal.pone.0083438

Understanding the effect of population size on the key parameters of evolution is particularly important for populations nearing extinction. There are evolutionary pressures to evolve sequences that are both fit and robust. At high mutation rates, in... Read More about Critical mutation rate has an exponential dependence on population size in haploid and diploid populations.

Artificial neural network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for post mortem interval estimation (2013)
Journal Article
Butcher, J., Moore, H., Day, C., Adam, C., & Drijfhout, F. (2013). Artificial neural network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for post mortem interval estimation. Forensic Science International, 232(1-3), 25-31. https://doi.org/10.1016/j.forsciint.2013.06.018

Defect detection in reinforced concrete using random neural architectures (2013)
Journal Article
Butcher, J., Day, C., Austin, J., Haycock, P., Verstraeten, D., & Schrauwen, B. (2014). Defect detection in reinforced concrete using random neural architectures. Computer-Aided Civil and Infrastructure Engineering, 29(3), 191-207. https://doi.org/10.1111/mice.12039

Detecting defects within reinforced concrete is vital to the safety and durability of our built infrastructure upon which we heavily rely. In this work a non-invasive technique, ElectroMagnetic Anomaly Detection (EMAD), is used which provides informa... Read More about Defect detection in reinforced concrete using random neural architectures.