AI & Environment Resource HubGibson Kimutai, Anna Förster · 2023-09-06
This study proposes a low-cost IoT-based TinyML model that intelligently activates mosquito repellent only when an Anopheles mosquito is detected, using a 1D-CNN for efficient classification of mosquito wingbeat sounds, reducing energy waste and potential health risks.
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Gibson Kimutai, Anna Förster. 2023-09-06. A Low-Cost TinyML Model for Mosquito Detection in Resource-Constrained Environments. https://dl.acm.org/doi/10.1145/3582515.3609514 (AI & Environment Resource Hub; record paper-155; collection snapshot 2026-10-04).
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Source sheet: Scientific Paper · Row 159 · Original ID: paper-155.
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Shared topics: Biodiversity and ecosystems
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Shared topics: Biodiversity and ecosystems
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Shared topics: Biodiversity and ecosystems
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Shared topics: Biodiversity and ecosystems
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