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An original hyperspectral soil transfer strategy framework for global thinking

https://doi.org/10.2139/ssrn.6874850
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Fake review detection in e-Commerce platforms using aspect-based sentiment analysis
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Integrating structured biological data by Kernel Maximum Mean Discrepancy
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Hyperspectral Image Band Selection Based on CNN Embedded GA (CNNeGA)
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Generative Adversarial Networks: An Overview
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D 2 IFLN: Disentangled Domain-Invariant Feature Learning Networks for Domain Generalization
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Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation
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Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation
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Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation
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Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century
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Predicting soil properties from the Australian soil visible–near infrared spectroscopic database
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Soil Carbon Sequestration Impacts on Global Climate Change and Food Security
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Transfer learning: a friendly introduction
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Synthetic spectra generated by boundary equilibrium generative adversarial networks and their applications with consensus algorithms
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Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations
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Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
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Artificial Intelligence-Based Prediction of Key Textural Properties from LUCAS and ICRAF Spectral Libraries
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Soil Security in Sustainable Development
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GENERATING ARTIFICIAL NEAR INFRARED SPECTRAL BAND FROM RGB IMAGE USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK
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