AIMC Topic: Spectroscopy, Near-Infrared

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Discrimination of wheat flour grade based on PSO-SVM of hyperspectral technique.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 19, 2023
Rapid detection of wheat flour grade played an important role in the food industry. In this work, hyperspectral technology was used to detect five types of wheat flour. An analysis model was established based on the reflectance of samples at 968 ∼ 25...
Algorithms Spectroscopy, Near-Infrared Triticum Flour Support Vector Machine Least-Squares Analysis
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Rapid quantification of royal jelly quality by mid-infrared spectroscopy coupled with backpropagation neural network.

Food chemistry Mar 23, 2023
Royal jelly is rich in nutrients but its quality is greatly affected by storage conditions. To determine the quality of royal jelly accurately and quickly, a qualitative discrimination model was established based on the fusion of conventional paramet...
Least-Squares Analysis Spectrophotometry, Infrared Neural Networks, Computer Spectroscopy, Near-Infrared Support Vector Machine
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The Novel Combination of Nano Vector Network Analyzer and Machine Learning for Fruit Identification and Ripeness Grading.

Sensors (Basel, Switzerland) Jan 13, 2023
Fruit classification is required in many smart-farming and industrial applications. In the supermarket, a fruit classification system may be used to help cashiers and customer to identify the fruit species, origin, ripeness, and prices. Some methods,...
Fruit Machine Learning Spectroscopy, Near-Infrared Support Vector Machine Cluster Analysis Neural Networks, Computer
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Structural Analysis and Classification of Low-Molecular-Weight Hyaluronic Acid by Near-Infrared Spectroscopy: A Comparison between Traditional Machine Learning and Deep Learning.

Molecules (Basel, Switzerland) Jan 13, 2023
Confusing low-molecular-weight hyaluronic acid (LMWHA) from acid degradation and enzymatic hydrolysis (named LMWHA-A and LMWHA-E, respectively) will lead to health hazards and commercial risks. The purpose of this work is to analyze the structural di...
Spectroscopy, Near-Infrared Deep Learning Neural Networks, Computer Hyaluronic Acid Support Vector Machine Discriminant Analysis
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Machine Learning-Enabled NIR Spectroscopy. Part 2: Workflow for Selecting a Subset of Samples from Publicly Accessible Data.

AAPS PharmSciTech Jan 10, 2023
An increasingly large dataset of pharmaceutics disciplines is frequently challenging to comprehend. Since machine learning needs high-quality data sets, the open-source dataset can be a place to start. This work presents a systematic method to choose...
Neural Networks, Computer Workflow Spectroscopy, Near-Infrared Models, Theoretical Machine Learning
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A deep learning method for predicting lead content in oilseed rape leaves using fluorescence hyperspectral imaging.

Food chemistry Dec 20, 2022
The purpose of this study was to develop a deep learning method involving wavelet transform (WT) and stacked denoising autoencoder (SDAE) for extracting deep features of heavy metal lead (Pb) detection of oilseed rape leaves. Firstly, the standard no...
Algorithms Spectroscopy, Near-Infrared Brassica napus Least-Squares Analysis Deep Learning Hyperspectral Imaging Plant Leaves
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A novel fast method for identifying the origin of Maojian using NIR spectroscopy with deep learning algorithms.

Scientific reports Dec 10, 2022
Maojian is one of China's traditional famous teas. There are many Maojian-producing areas in China. Because of different producing areas and production processes, different Maojian have different market prices. Many merchants will mix Maojian in diff...
China Deep Learning Neural Networks, Computer Algorithms Spectroscopy, Near-Infrared
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Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network.

Journal of neuroscience methods Oct 28, 2022
BACKGROUND: The demand for early and precise identification of autism spectrum disorder (ASD) presented a challenge to the prediction of ASD with a non-invasive neuroimaging method.
Spectroscopy, Near-Infrared Autism Spectrum Disorder Deep Learning Child Humans Brain Entropy
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NIR spectroscopy combined with 1D-convolutional neural network for breast cancerization analysis and diagnosis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 22, 2022
Near-infrared (NIR) spectroscopy with deep penetration can characterize the composition of biological tissue based on the vibration of the X-H group in a rapid and high-specificity way. Deep learning is proven helpful for rapid and automatic identifi...
Reproducibility of Results Spectroscopy, Near-Infrared Cluster Analysis Humans Discriminant Analysis Neural Networks, Computer
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Application of Deep-Learning Algorithm Driven Intelligent Raman Spectroscopy Methodology to Quality Control in the Manufacturing Process of Guanxinning Tablets.

Molecules (Basel, Switzerland) Oct 17, 2022
Coupled with the convolutional neural network (CNN), an intelligent Raman spectroscopy methodology for rapid quantitative analysis of four pharmacodynamic substances and soluble solid in the manufacture process of Guanxinning tablets was established....
Quality Control Rosmarinic Acid Spectroscopy, Near-Infrared Deep Learning Least-Squares Analysis Spectrum Analysis, Raman Tablets
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