AIMC Topic: Spectroscopy, Near-Infrared

Clear Filters Showing 41 to 50 of 338 articles

Intelligent geographical origin traceability of Pu-erh tea based on multispectral feature fusion.

Food chemistry
To achieve accurate origin traceability of Pu-erh tea, this study proposes a deep learning method based on multispectral fusion. By collecting Raman and near-infrared spectral data from five major origins, an improved ECA-ResNet network structure was...

Different prefrontal cortex activity patterns in bipolar and unipolar depression during verbal fluency tasks based on functional near infrared spectroscopy study.

Scientific reports
This study aimed to investigate the functionality of the prefrontal cortex in patients with unipolar depression (UD) and bipolar depression (BD) using functional near-infrared spectroscopy (fNIRS) during a verbal fluency task (VFT). Additionally, it ...

Explainable artificial neural network as a soft sensor to predict the moisture content in a continuous granulation line.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
The application of artificial neural networks (ANNs) has the potential to fundamentally change the pharmaceutical industry, making manufacturing more agile, robust, efficient and reliable. Although ANNs' application as data-driven soft sensors has a ...

Detection of degraded high-density polyethylene via near-infrared hyperspectral imaging.

Waste management (New York, N.Y.)
The quality of recycled plastics is crucial to make them competitive in more demanding applications and to extend their range of applications. However, there are many influencing factors that can reduce the quality and limit the use of recyclates. On...

Neural mechanisms underlying the improvement of gait disturbances in stroke patients through robot-assisted gait training based on QEEG and fNIRS: a randomized controlled study.

Journal of neuroengineering and rehabilitation
BACKGROUND: Robot-assisted gait training is more effective in improving lower limb function and walking ability in stroke patients compared to conventional rehabilitation, but the neural mechanisms remain unclear. This study aims to explore the effec...

Improvement method for tea leaf moisture content prediction using VIS-NIR spectrum based on transfer learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Moisture significantly affects tea plants' growth and quality. Traditional methods of leaf moisture detection are usually destructive to samples, slow and labour-intensive. In this study, visible-near infrared (VIS-NIR) spectroscopy was used to detec...

Machine learning-powered activatable NIR-II fluorescent nanosensor for in vivo monitoring of plant stress responses.

Nature communications
Real-time monitoring of plant stress signaling molecules is crucial for early disease diagnosis and prevention. However, existing methods are often invasive and lack sensitivity, rendering them inadequate for continuous monitoring of subtle plant str...

Model-Based Convolution Neural Network for 3D Near-Infrared Spectral Tomography.

IEEE transactions on medical imaging
Near-infrared spectral tomography (NIRST) is a non-invasive imaging technique that provides functional information about biological tissues. Due to diffuse light propagation in tissue and limited boundary measurements, NIRST image reconstruction pres...

Rapid detection and quantification of falsified Viagra using cloud-based portable NIR technology and machine learning.

Journal of pharmaceutical and biomedical analysis
The prevalence of falsified medications remains a global health challenge, intensified by globalization, internet accessibility, and the high profitability associated with low risks for this type of trafficking. This study demonstrates the innovative...