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Summary of deep architectures used in NIR.
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Summary of deep architectures used in NIR.
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Summary of deep architectures used in NIR.
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Summary of deep architectures used in NIR.
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Summary of deep architectures used in NIR.
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Summary of deep architectures used in NIR.
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Summary of deep architectures used in NIR.
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Image Search Results


Summary of deep architectures used in NIR.

Journal: Sensors (Basel, Switzerland)

Article Title: A Review of Machine Learning for Near-Infrared Spectroscopy

doi: 10.3390/s22249764

Figure Lengend Snippet: Summary of deep architectures used in NIR.

Article Snippet: Jun. 2021, [ ] , Salt content in saline-alkali soil (SAS) , Convolutional neural network–gravitational reservoir-computing–extreme learning machine (CNN-GRC-ELM). , A fast, low-cost, and accurate method. , Does not compare to other state-of-the art deep learning models; the experimental sample data were insufficient..

Techniques: Cream, Extraction, Biomarker Discovery, Selection, Saline, Transformation Assay