Dec 10, 2019 · A new approach is presented that combines 3D coherent imaging with machine learning (ML) to achieve accurate and automatic detection of MPs in filtered water ...
7 days ago · The objective of this study is to assess the fluorescence responses of various common microplastics and to identify whether this information, ...
Microplastics (MPs) are a major environmental concern due to their possible impact on water pollution, wildlife, and the food chain.
Results corroborate the use of conventional machine learning applied to holographic maps to solve a variety of classification issues in water pollution assays.
Jan 29, 2024 · We develop a portable and cost-effective polarization holographic imaging system that prominently incorporates deep learning techniques.
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Zhu et al. [30] describe a holographic classifier able to distinguish between microplastic and dust particles taking as input raw holograms, ...
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A holographic sensor and an innovative artificial intelligence method allow the automatic detection of the presence of microplastics in marine samples, ...
Jan 9, 2023 · This research aims to use science mapping tools to comprehensively and objectively analyze recent advances, hot-spots, and challenges in artificial ...
An inline digital holographic imaging system equipped with a lightweight deep learning network, termed CompNet, and the transfer learning for classification ...
Holographic imaging boosts machine learning for accurate micro-plastics ...
opg.optica.org › abstract
An effective strategy, that combines Digital Holography with machine learning, for achieving accurate and automatic identification of microplastics in filtered ...