AIMC Topic: Spectrum Analysis

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Identifying plastics with photoluminescence spectroscopy and machine learning.

Scientific reports Nov 6, 2022
A quantitative understanding of the worldwide plastics distribution is required not only to assess the extent and possible impact of plastic litter on the environment but also to identify possible counter measures. A systematic collection of data cha...
Plastics Spectrum Analysis Machine Learning Algorithms
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Rapid proximate analysis of coal based on reflectance spectroscopy and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 25, 2022
Proximate analysis of coal is of profound significance for understanding coal quality and promoting rational utilization of coal resources. Traditional coal proximate analysis mainly uses chemical analysis methods, which have the disadvantages of slo...
Coal Spectrum Analysis Deep Learning Carbon Neural Networks, Computer
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Multivariate versus machine learning-based classification of rapid evaporative Ionisation mass spectrometry spectra towards industry based large-scale fish speciation.

Food chemistry Oct 17, 2022
Detection and prevention of fish food fraud are of ever-increasing importance, prompting the need for rapid, high-throughput fish speciation techniques. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) has quickly established itself as a powerf...
Seafood Spectrum Analysis Mass Spectrometry Fishes Machine Learning Animals
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Machine Learning Enhanced Optical Spectroscopy for Disease Detection.

The journal of physical chemistry letters Sep 29, 2022
Optical spectroscopy plays an important role in disease detection. Improving the sensitivity and specificity of spectral detection has great importance in the development of accurate diagnosis. The development of artificial intelligence technology pr...
Artificial Intelligence Machine Learning Algorithms Spectrum Analysis Neural Networks, Computer
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Integration of Quantum Chemistry, Statistical Mechanics, and Artificial Intelligence for Computational Spectroscopy: The UV-Vis Spectrum of TEMPO Radical in Different Solvents.

Journal of chemical theory and computation Sep 27, 2022
The ongoing integration of quantum chemistry, statistical mechanics, and artificial intelligence is paving the route toward more effective and accurate strategies for the investigation of the spectroscopic properties of medium-to-large size chromopho...
Reproducibility of Results Molecular Dynamics Simulation Artificial Intelligence Spectrum Analysis Cyclic N-Oxides Quantum Theory Solvents
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Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal.

Contrast media & molecular imaging Sep 20, 2022
Biological tissues may be studied using photoacoustic (PA) spectroscopy, which can yield a wealth of physical and chemical data. However, it is really challenging to directly analyse these tissues because of a lot of data. Data mining techniques can ...
Male Spectrum Analysis Lipids Machine Learning Bayes Theorem Humans Algorithms Prostatic Neoplasms
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Mapping Simulated Two-Dimensional Spectra to Molecular Models Using Machine Learning.

The journal of physical chemistry letters Aug 5, 2022
Two-dimensional (2D) spectroscopy encodes molecular properties and dynamics into expansive spectral data sets. Translating these data into meaningful chemical insights is challenging because of the many ways chemical properties can influence the spec...
Spectrum Analysis Vibration Machine Learning Models, Molecular
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Distinguishing tumor from healthy tissue in human liver ex vivo using machine learning and multivariate analysis of diffuse reflectance spectra.

Journal of biophotonics Aug 4, 2022
The aim of this work was to evaluate the capability of diffuse reflectance spectroscopy to distinguish malignant liver tissues from surrounding tissues and to determine whether an extended wavelength range (450-1550 nm) offers any advantages over usi...
Multivariate Analysis Spectrum Analysis Humans Machine Learning Neoplasms Liver
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Design and Implementation of Trace Inspection System Based upon Hyperspectral Imaging Technology.

Computational intelligence and neuroscience Jul 15, 2022
Trace inspection is a key technology for collecting crime scenes in the criminal investigation department. A lot of information can be obtained by restoring and analyzing the remaining traces on the scene. However, with the development of digital tec...
Support Vector Machine Least-Squares Analysis Spectrum Analysis Quality Control Hyperspectral Imaging
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Real-time, in vivo skin cancer triage by laser-induced plasma spectroscopy combined with a deep learning-based diagnostic algorithm.

Journal of the American Academy of Dermatology Jun 22, 2022
BACKGROUND: Although various skin cancer detection devices have been proposed, most of them are not used owing to their insufficient diagnostic accuracies. Laser-induced plasma spectroscopy (LIPS) can noninvasively extract biochemical information of ...
Sensitivity and Specificity Humans Skin Neoplasms Deep Learning Carcinoma, Basal Cell Triage Algorithms Spectrum Analysis
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