Double vision: 2D and 3D mosquito trajectories can be as valuable for behaviour analysis via machine learning

MLA

Yasser Mehmood Qureshi, et al. “Double Vision: 2D and 3D Mosquito Trajectories Can Be as Valuable for Behaviour Analysis via Machine Learning.” Parasites & Vectors, vol. 17, no. 1, July 2024, pp. 1–15. EBSCOhost, https://doi.org/10.1186/s13071-024-06356-9.

APA

Yasser Mehmood Qureshi, Vitaly Voloshin, Catherine Elizabeth Towers, James Anthony Covington, & David Peter Towers. (2024). Double vision: 2D and 3D mosquito trajectories can be as valuable for behaviour analysis via machine learning. Parasites & Vectors, 17(1), 1–15. https://doi.org/10.1186/s13071-024-06356-9

Chicago

Yasser Mehmood Qureshi, Vitaly Voloshin, Catherine Elizabeth Towers, James Anthony Covington, and David Peter Towers. 2024. “Double Vision: 2D and 3D Mosquito Trajectories Can Be as Valuable for Behaviour Analysis via Machine Learning.” Parasites & Vectors 17 (1): 1–15. doi:10.1186/s13071-024-06356-9.