Browsing School of Biological and Chemical Sciences by Author "Ierodiaconou, D"

Now showing items 1-2 of 2

    • Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat 

      Schofield, G; Dujon, A; Ierodiaconou, D; Geeson, J; Arnould, J; Allan, B; Katselidis, K (Wiley Open Access, 2021-05-06)
      Machine learning algorithms are being increasingly used to process large volumes of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms to monitor multiple species are required to enhance ...

    • Operational protocols for the use of drones in marine animal research 

      Raoult, V; Colefax, AP; Allan, BM; Cagnazzi, D; Castelblanco-Martínez, N; Ierodiaconou, D; Johnston, DW; Landeo-Yauri, S; Lyons, M; Pirotta, V (MDPI, 2020-09-25)
      The use of drones to study marine animals shows promise for the examination of numerous aspects of their ecology, behaviour, health and movement patterns. However, the responses of some marine phyla to the presence of ...