Application of deep learning models with spectral data augmentation and Denoising for predicting total phosphorus concentration in water pollution

Research article (Journal of the Taiwan Institute of Chemical Engineers, 2024) · cited 11× · AI/ML
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Application of deep learning models with spectral data augmentation and Denoising for predicting total phosphorus concentration in water pollution

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Application of deep learning models with spectral data augmentation and Denoising for predicting total phosphorus concentration in water pollution is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Application of deep learning models with spectral data augmentation and Denoising for predicting total phosphorus concentration in water pollution. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-deep-learning-models-with-spectral-data-augmentation-and-denoising-for-predicting-total-phosphorus-concen
MLA “Application of deep learning models with spectral data augmentation and Denoising for predicting total phosphorus concentration in water pollution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-deep-learning-models-with-spectral-data-augmentation-and-denoising-for-predicting-total-phosphorus-concen.
BibTeX @misc{4ortxyz_application-of-deep-learning-models-with-spectral-data-augmentation-and-denoising-for-predicting-total-phosphorus-concen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of deep learning models with spectral data augmentation and Denoising for predicting total phosphorus concentration in water pollution}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-deep-learning-models-with-spectral-data-augmentation-and-denoising-for-predicting-total-phosphorus-concen}, note = {Accessed: 2026-05-24}}
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