AIMC Topic: Spectrophotometry, Infrared

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Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy.

Applied optics Apr 1, 2022
Owing to the general disadvantages of traditional neural networks in gas concentration inversion, such as slow training speed, sensitive learning rate selection, unstable solutions, weak generalization ability, and an ability to easily fall into loca...
Neural Networks, Computer Spectrophotometry, Infrared Sulfur Hexafluoride Least-Squares Analysis Algorithms
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Machine learning algorithms to control concentrations of carbon nanocomplexes in a biological medium via optical absorption spectroscopy: how to choose and what to expect?

Applied optics Sep 20, 2021
A solution of spectroscopic inverse problems, implying determination of target parameters of the research object via analysis of spectra of various origins, is an overly complex task, especially in case of strong variability of the research object. O...
Machine Learning Algorithms Humans Male Microscopy, Confocal Female Nanoconjugates Spectrophotometry, Infrared Doxorubicin Antibiotics, Antineoplastic Healthy Volunteers Nanoparticles Drug Carriers Carbon
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AI-based spectroscopic monitoring of real-time interactions between SARS-CoV-2 and human ACE2.

Proceedings of the National Academy of Sciences of the United States of America Jun 29, 2021
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), invades a human cell via human angiotensin-converting enzyme 2 (hACE2) as the entry, causing the severe coronavirus disease (COVID-19). The interactions between hACE...
Angiotensin-Converting Enzyme 2 Protein Structure, Secondary Spectrophotometry, Infrared Spike Glycoprotein, Coronavirus Kinetics Protein Binding Humans SARS-CoV-2 Machine Learning
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Deep representation learning for domain adaptable classification of infrared spectral imaging data.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which...
Deep Learning Computational Biology Imaging, Three-Dimensional Neural Networks, Computer Pathology Microscopy Spectrophotometry, Infrared Models, Theoretical
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Fast honey classification using infrared spectrum and machine learning.

Mathematical biosciences and engineering : MBE Jul 29, 2019
Honey has been one previous natural food in human history. However, as the supply cannot satisfy the market demand, many incidents of adulterated and fraudulent honey have been reported. In Taiwan, some common adulterated honey and fraudulent honey i...
Spectrophotometry, Infrared Scattering, Radiation Principal Component Analysis Honey Taiwan Food Industry Fructose Bees Food Contamination Models, Statistical Food Analysis Animals Machine Learning Support Vector Machine
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