AIMC Topic: Lasers

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Detection of whey protein concentrate adulteration using laser-induced breakdown spectroscopy combined with machine learning.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment Apr 21, 2025
In recent years, food fraud issues related to whey protein supplements have disrupted the market and caused significant concern among consumers. Conventional analytical methods such as HPLC and ion exchange chromatography are commonly used to detect ...
Whey Proteins Machine Learning Food Contamination Spectrum Analysis Lasers Dietary Supplements
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Identification of cancerous tissues based on residual neural network.

Scientific reports Apr 17, 2025
The identification of cancerous tissues remains challenging due to the complexity of experimental methods and low identification accuracy rates. Therefore, this paper proposes a rapid identification method. We introduce a new theoretical transmission...
Neural Networks, Computer Algorithms Animals Humans Image Processing, Computer-Assisted Rats Prostatic Neoplasms Male Convolutional Neural Networks Prostate Lasers
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Efficient and anti-interference plastic classification method suitable for one-shot learning based on laser induced breakdown spectroscopy.

Chemosphere Apr 15, 2025
Efficient recycling of plastics is critical for environmental sustainability. In this work, an efficient and anti-interference method for plastic classification based on one-shot learning and laser-induced breakdown spectroscopy (LIBS) was proposed. ...
Spectrum Analysis Lasers Neural Networks, Computer Algorithms Recycling Plastics
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DMC-LIBSAS: A Laser-Induced Breakdown Spectroscopy Analysis System with Double-Multi Convolutional Neural Network for Accurate Traceability of Chinese Medicinal Materials.

Sensors (Basel, Switzerland) Mar 27, 2025
Against the background of globalization, the circulation range of traditional Chinese medicinal materials is constantly expanding, and the phenomena of mixed origins and counterfeiting are becoming increasingly serious. Tracing the origin of traditio...
Drugs, Chinese Herbal Spectrum Analysis Lasers Deep Learning Convolutional Neural Networks
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Robust Human Tracking Using a 3D LiDAR and Point Cloud Projection for Human-Following Robots.

Sensors (Basel, Switzerland) Mar 12, 2025
Human tracking is a fundamental technology for mobile robots that work with humans. Various devices are used to observe humans, such as cameras, RGB-D sensors, millimeter-wave radars, and laser range finders (LRF). Typical LRF measurements observe on...
Algorithms Humans Imaging, Three-Dimensional Robotics Lasers Radar
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Label-free rapid antimicrobial susceptibility testing with machine-learning based dynamic holographic laser speckle imaging.

Biosensors & bioelectronics Feb 25, 2025
Antimicrobial resistance (AMR) presents a significant global challenge, creating an urgent need for rapid and sensitive antimicrobial susceptibility testing (AST) methods to guide timely treatment decisions. Traditional AST techniques, such as broth ...
Drug Resistance, Bacterial Microbial Sensitivity Tests Biosensing Techniques Machine Learning Anti-Bacterial Agents Gram-Negative Bacteria Gram-Positive Bacteria Humans Bacteria Holography Neural Networks, Computer Lasers
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Development of a method for detecting and classifying hydrocarbon-contaminated soils via laser-induced breakdown spectroscopy and machine learning algorithms.

Environmental science and pollution research international Feb 5, 2025
In recent years, there has been a significant increase in oil exploration and exploitation activities, resulting in spills that pose a severe threat to the environment and public health. The present work aims to develop a method to detect and classif...
Algorithms Soil Principal Component Analysis Discriminant Analysis Environmental Monitoring Machine Learning Lasers Soil Pollutants Hydrocarbons Spectrum Analysis
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Prediction of coffee traits by artificial neural networks and laser-assisted rapid evaporative ionization mass spectrometry.

Food research international (Ottawa, Ont.) Jan 23, 2025
BACKGROUND: Coffee is an important commodity in the worldwide economy and smart technologies are important for accurate quality control and consumer-oriented product development. Sensory perception is probably the most important information since it ...
Fatty Acids Coffee Lasers Mass Spectrometry Humans Taste Neural Networks, Computer Discriminant Analysis
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An ML-Enhanced Laser-Based Methane Slip Sensor Using Wavelength Modulation Spectroscopy.

ACS sensors Jan 15, 2025
Natural gas (NG) is a promising alternative to diesel for sustainable transport, potentially reducing GHG and air quality emissions significantly. However, the GHG benefits hinge on managing methane slip, the unburned methane in the exhaust of NG eng...
Lasers Vehicle Emissions Natural Gas Methane Machine Learning Spectrum Analysis
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Classification of soil contamination by heavy metals (Cr, Ni, Pb, Zn) in wildfire-affected areas using laser-induced breakdown spectroscopy and machine learning.

Environmental science and pollution research international Jan 8, 2025
The assessment of soil contamination by heavy metals is of high importance due to its impact on the environment and human health. Standard high-sensitivity spectroscopic techniques for this task such as atomic absorption spectrometry (AAS) and induct...
Lasers Metals, Heavy Fires Spectrum Analysis Machine Learning Environmental Monitoring Lead Soil Soil Pollutants
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