Ben Williams | Animal Society of London

Machine Learning


Williams, B., Lamont, TA, Chapuis, L., Harding, HR, May, EB, Prasetya, ME, Seraphim, MJ, Jompa, J., Smith, DJ, Janetski, N., and Radford, AN, 2022 Year. Use bioacoustic indices and machine learning to power automated analysis of ocean soundscapes. Ecological Indicators, 140: 108986. doi: https://doi.org/10.1016/j.ecolind.2022.108986

Lamont, TA, Chapuis, L., Williams, B., Dines, S., Gridley, T., Freiner, G., Feary, J., Maulana, PB, Plasetia, ME, Johnpa, J, and Smith, DJ HydroMoth: Testing a prototype of a low-cost acoustic recorder for aquatic environments. Remote sensing in ecology and conservation. Doi: https://doi.org/10.1002/rse2.249

Lamont, TA, Williams, B., Chapuy, L., Prasetia, ME, Seraphim, MJ, Harding, HR, May, EB, Janetsky, N., Johnpa, J., Smith, DJ, Radford, AN, 2022 Year. Sounds of Restoration: Successful reef restoration can be detected in soundscapes. Journal of Applied Ecology, 54: 742-756. Doi: https://doi.org/10.1111/1365-2664.14089

Williams, B., Chapuis, L., Gordon, TA, Simpson, SD Low-cost action cameras offer the potential for extensive acoustic monitoring of marine ecosystems. 2021. Ecological Indicators. 129: 107957. Doi: 10.1016/j.ecolind.2021.107957

Mahesh, R., Saravanakumar, A., Thangaradjou, T., Solanki, HU, Raman, M., Williams, B. Mesofauna measured using remotely sensed sea surface temperature and Chl-a in the Gulf. Seasonal and spatial variations in plankton energy transfer efficiency Bengal. Area Studies in Marine Science. 2020. 40: 101482. doi: 10.1016/j.rsma.2020.101482



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