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IEEE/ICACT20260085 Slide.08        [Big Slide]       [YouTube]	Oral Presentation
	In our work, we leverage multimodal fusion to exploit the complementary strengths of acoustic and visual cues in order to enhance detection robustness. By jointly analyzing sound and visual information, our system significantly reduces false negatives, particularly in challenging environments characterized by high noise levels or low-light conditions. This multimodal integration allows us to achieve more reliable mosquito detection across diverse and variable real-world scenarios.

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