Chemical Engineering
域变换光谱解耦卷积神经网络
Domain-Transformed Spectral Decoupling Convolutional Neural NetworkA deep learning algorithm that utilizes domain transformation and spectral decoupling to improve the accuracy of optical sensor systems in detecting specific gas concentrations. / 一种利用域变换和光谱解耦来提高光学传感器系统检测特定气体浓度准确性的深度学习算法。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-12 22:06:30
Sub-knowledge points
Improved UV-DOASSpectral DecouplingConvolutional Neural Network
Higher-order knowledge points
Optical sensing and photodetectors / 实际应用Sulfur Dioxide and Nitric Oxide Detection
Main parameters and performance indicators
Domain Transformation: Technique to align spectral dataSpectral Decoupling: Method to separate overlapping signalsConvolutional Neural Network: Core deep learning architecture
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsAn ultra-sensitive optical sensor system for sulfur dioxide and nitric oxide based on improved UV-DOAS combined with the domain-transformed spectral decoupling convolutional neural network (DTSD-CNN)Open source
Related products and links
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Creation and modification trail
1 recordsRecord title: Domain-Transformed Spectral Decoupling Convolutional Neural Network.
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