FlightTrackAI: a robust convolutional neural network-based tool for tracking the flight behaviour of Aedes aegypti mosquitoes

Monitoring the flight behaviour of mosquitoes is crucial for assessing their fitness levels and understanding their potential role in disease transmission. Existing methods for tracking mosquito flight behaviour are challenging to implement in laboratory environments, and they also struggle with ide...

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Principais autores:	Nouman Javed, Adam J. López-Denman, Prasad N. Paradkar, Asim Bhatti
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	The Royal Society 2024-10-01
סדרה:	Royal Society Open Science
נושאים:	disease transmission convolutional neural network multi-object tracking flight behaviour FlightTrackAI vector control
גישה מקוונת:	https://royalsocietypublishing.org/doi/10.1098/rsos.240923
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