Wrong classification of unknown insects in static setting (prior to implementing open-set learning).

<p>Wrong classification of unknown insects in static setting (prior to implementing open-set learning).</p>

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Bibliographic Details
Main Author:	Ahmed Akib Jawad Karim (20427740) (author)
Other Authors:	Muhammad Zawad Mahmud (20427743) (author), Riasat Khan (20135822) (author)
Published:	2024
Subjects:	Sociology Biological Sciences not elsewhere classified using new classes study &# 8217 significantly reduced parameters related diseases pose practical applicability employing offering valuable insights global public health art vision transformers xlink "> mosquito ten mosquito species comprehensive data augmentation advanced vision transformers accurate mosquito classification traditional cnn model almost equivalent accuracy 996 f1 score robust mosquito classification set learning techniques mosquito classification f1 score set learning mosquito surveillance traditional closed model complexities enabling robust data samples advanced deep training set learning architectures work presents weibull distribution transformative potential strong groundwork static environment significant threat preprocessing methods precise identification openmax technique novel framework novel approach necessitating efficient leveraging state latest transformer integrates transformer innovative approach inference stage higher accuracy future research findings highlight even humans effective surveillance broader ecological best performance
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