Application of a modified set of GoogLeNet and ResNet-18 convolutional neural networks towards the identification of environmentally derived-MPLs in the Yadkin-pee dee river basin

Application of a modified set of GoogLeNet and ResNet-18 convolutional neural networks towards the identification of environmentally derived-MPLs in the Yadkin-pee dee river basin

Abstract Microplastic (MPL) abundance is a well-elucidated problem in the marine environment but not so much in the terrestrial environment. In order to contribute to this research gap, a field study was performed in the Yadkin-Pee Dee River Basin. Due to their heterogenous nature and difficulty in...

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Bibliographic Details
Main Authors: Wesley Allen Williams, Anirudh Arunprasad, Shyam Aravamudhan
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Environmental Systems Research
Subjects:
Microplastics
Primary microplastics
Neural networks
Artificial intelligence
μ-Raman
Online Access:https://doi.org/10.1186/s40068-024-00384-1
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https://doi.org/10.1186/s40068-024-00384-1

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