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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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Kaydedildi:
Asıl Yazarlar: Nouman Javed, Adam J. López-Denman, Prasad N. Paradkar, Asim Bhatti
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: The Royal Society 2024-10-01
Seri Bilgileri:Royal Society Open Science
Konular:
disease transmission
convolutional neural network
multi-object tracking
flight behaviour
FlightTrackAI
vector control
Online Erişim:https://royalsocietypublishing.org/doi/10.1098/rsos.240923
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