AIMC Topic: Spectroscopy, Near-Infrared

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Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review.

Reviews in the neurosciences Feb 5, 2024
Functional near-infrared spectroscopy (fNIRS) and its interaction with machine learning (ML) is a popular research topic for the diagnostic classification of clinical disorders due to the lack of robust and objective biomarkers. This review provides ...
Humans Machine Learning Autism Spectrum Disorder Spectroscopy, Near-Infrared Support Vector Machine Mental Disorders Biomarkers
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Quantification of blood flow index in diffuse correlation spectroscopy using a robust deep learning method.

Journal of biomedical optics Jan 27, 2024
SIGNIFICANCE: Diffuse correlation spectroscopy (DCS) is a powerful, noninvasive optical technique for measuring blood flow. Traditionally the blood flow index (BFi) is derived through nonlinear least-square fitting the measured intensity autocorrelat...
Spectroscopy, Near-Infrared Hemodynamics Scalp Deep Learning Regional Blood Flow
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Interpretable deep learning model for major depressive disorder assessment based on functional near-infrared spectroscopy.

Asian journal of psychiatry Jan 3, 2024
BACKGROUND: Major depressive disorder (MDD) affects a substantial number of individuals worldwide. New approaches are required to improve the diagnosis of MDD, which relies heavily on subjective reports of depression-related symptoms.
Artificial Intelligence Deep Learning Depressive Disorder, Major Magnetic Resonance Imaging Spectroscopy, Near-Infrared Prefrontal Cortex Humans
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Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learning.

Journal of environmental sciences (China) Dec 8, 2023
To better understand the migration behavior of plastic fragments in the environment, development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary. However, most of the studies had focu...
Least-Squares Analysis Color Discriminant Analysis Environmental Monitoring Machine Learning Plastics Spectroscopy, Near-Infrared
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Detection of paralytic shellfish toxins by near-infrared spectroscopy based on a near-Bayesian SVM classifier with unequal misclassification costs.

Journal of the science of food and agriculture Nov 30, 2023
BACKGROUND: Paralytic shellfish poisoning caused by human consumption of shellfish fed on toxic algae is a public health hazard. It is essential to implement shellfish monitoring programs to minimize the possibility of shellfish contaminated by paral...
Support Vector Machine Bayes Theorem Animals Spectroscopy, Near-Infrared Bivalvia Shellfish Humans
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Combining Feature Selection Techniques and Neurofuzzy Systems for the Prediction of Total Viable Counts in Beef Fillets Using Multispectral Imaging.

Sensors (Basel, Switzerland) Nov 27, 2023
In the food industry, quality and safety issues are associated with consumers' health condition. There is a growing interest in applying various noninvasive sensorial techniques to obtain quickly quality attributes. One of them, hyperspectral/multisp...
Neural Networks, Computer Algorithms Animals Spectroscopy, Near-Infrared Meat Cattle Least-Squares Analysis
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Development of a PAT platform for the prediction of granule tableting properties.

International journal of pharmaceutics Nov 15, 2023
In this work, the feasibility of implementing a process analytical technology (PAT) platform consisting of Near Infrared Spectroscopy (NIR) and particle size distribution (PSD) analysis was evaluated for the prediction of granule downstream processab...
Temperature Neural Networks, Computer Spectroscopy, Near-Infrared Least-Squares Analysis Calibration
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Rapid analysis of hydrogen cyanide in fresh cassava roots using NIRSand machine learning algorithms: Meeting end user demand for low cyanogenic cassava.

The plant genome Nov 8, 2023
This study focuses on meeting end-users' demand for cassava (Manihot esculenta Crantz) varieties with low cyanogenic potential (hydrogen cyanide potential [HCN]) by using near-infrared spectrometry (NIRS). This technology provides a fast, accurate, a...
Least-Squares Analysis Manihot Hydrogen Cyanide Support Vector Machine Plant Roots Algorithms Spectroscopy, Near-Infrared Machine Learning
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Classification and rapid non-destructive quality evaluation of different processed products of Cyperus rotundus based on near-infrared spectroscopy combined with deep learning.

Talanta Oct 8, 2023
The quality of traditional Chinese medicine is very important for human health, but the traditional quality control method is very tedious, which leads to the substandard quality of many traditional Chinese medicine. In order to solve the problem of ...
Terpenes Cyperus Deep Learning Medicine, Chinese Traditional Algorithms Spectroscopy, Near-Infrared Humans
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Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy.

Journal of the science of food and agriculture Jul 31, 2023
BACKGROUND: Yam (Dioscorea alata L.) is the staple food of many populations in the intertropical zone, where it is grown. The lack of phenotyping methods for tuber quality has hindered the adoption of new genotypes from breeding programs. Recently, n...
Amylose Plant Tubers Neural Networks, Computer Dioscorea Spectroscopy, Near-Infrared Flour
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