AIMC Topic: Discriminant Analysis

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UPLC-Q-TOF-MS/MS combined with machine learning methods for screening quality indicators of Hypericum perforatum L.

Journal of pharmaceutical and biomedical analysis Jun 13, 2024
Hypericum perforatum L. (HPL), also known as St. John's wort, is one of the extensively researched domestically and internationally as a medicinal plant. In this study, non-targeted metabolomics combined with machine learning methods were used to ide...
Quality Control Least-Squares Analysis Plant Extracts Chromatography, High Pressure Liquid Machine Learning Support Vector Machine Tandem Mass Spectrometry Protein Interaction Maps Discriminant Analysis Metabolomics Plants, Medicinal Hypericum
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Incremental Confidence Sampling with Optimal Transport for Domain Adaptation.

International journal of neural systems Jun 13, 2024
Domain adaptation is a subfield of statistical learning theory that takes into account the shift between the distribution of training and test data, typically known as source and target domains, respectively. In this context, this paper presents an i...
Unsupervised Machine Learning Discriminant Analysis Humans Algorithms
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A Dynamic Window Method Based on Reinforcement Learning for SSVEP Recognition.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 7, 2024
Steady-state visual evoked potential (SSVEP) is one of the most used brain-computer interface (BCI) paradigms. Conventional methods analyze SSVEPs at a fixed window length. Compared with these methods, dynamic window methods can achieve a higher info...
Brain-Computer Interfaces Evoked Potentials, Visual Reinforcement, Psychology Young Adult Adult Male Bayes Theorem Discriminant Analysis Electroencephalography Humans Machine Learning Neural Networks, Computer Algorithms Female
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Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar.

Sensors (Basel, Switzerland) Jun 2, 2024
The potential of a voltametric E-tongue coupled with a custom data pre-processing stage to improve the performance of machine learning techniques for rapid discrimination of tomato purées between cultivars of different economic value has been investi...
Gold Metal Nanoparticles Discriminant Analysis Machine Learning Electrodes Bridged Bicyclo Compounds, Heterocyclic Electronic Nose Copper Polymers Solanum lycopersicum
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Discrimination of internal crack for rice seeds using near infrared spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 1, 2024
It is an important thing to identify internal crack in seeds from normal seeds for evaluating the quality of rice seeds (Oryza sativa L.). In this study, non-destructive discrimination of internal crack in rice seeds using near infrared spectroscopy ...
Spectroscopy, Near-Infrared Least-Squares Analysis Discriminant Analysis Support Vector Machine Oryza Seeds Principal Component Analysis
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Growth period determination and color coordinates visual analysis of tomato using hyperspectral imaging technology.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 28, 2024
Growth period determination and color coordinates prediction are essential for comparing postharvest fruit quality. This paper proposes a tomato growth period judgment and color coordinates prediction model based on hyperspectral imaging technology. ...
Least-Squares Analysis Discriminant Analysis Color Solanum lycopersicum Fruit Hyperspectral Imaging Algorithms Support Vector Machine Principal Component Analysis Linear Models
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Evaluation of EEG Signals by Spectral Peak Methods and Statistical Correlation for Mental State Discrimination Induced by Arithmetic Tasks.

Sensors (Basel, Switzerland) May 22, 2024
Bringing out brain activity through the interpretation of EEG signals is a challenging problem that involves combined methods of signal analysis. The issue of classifying mental states induced by arithmetic tasks can be solved through various classif...
Humans Neural Networks, Computer Algorithms Electroencephalography Male Signal Processing, Computer-Assisted Support Vector Machine Discriminant Analysis Brain Female Adult
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Geographical origin identification of Khao Dawk Mali 105 rice using combination of FT-NIR spectroscopy and machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 19, 2024
The mislabelled Khao Dawk Mali 105 rice coming from other geographical region outside the Thung Kula Rong Hai region is extremely profitable and difficult to detect; to prevent retail fraud (that adversely affects both the food industry and consumers...
Principal Component Analysis Least-Squares Analysis Algorithms Discriminant Analysis Oryza Thailand Geography Neural Networks, Computer Spectroscopy, Near-Infrared Machine Learning
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Raman spectroscopy for esophageal tumor diagnosis and delineation using machine learning and the portable Raman spectrometer.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 12, 2024
Esophageal cancer is one of the leading causes of cancer-related deaths worldwide. The identification of residual tumor tissues in the surgical margin of esophageal cancer is essential for the treatment and prognosis of cancer patients. But the curre...
Discriminant Analysis Esophageal Neoplasms Spectrum Analysis, Raman Support Vector Machine Principal Component Analysis Machine Learning Algorithms Humans
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Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood-Brain Barrier Permeability Prediction.

Journal of chemical information and modeling May 3, 2024
The intricate nature of the blood-brain barrier (BBB) poses a significant challenge in predicting drug permeability, which is crucial for assessing central nervous system (CNS) drug efficacy and safety. This research utilizes an innovative approach, ...
Permeability Quantitative Structure-Activity Relationship Humans Machine Learning Blood-Brain Barrier Discriminant Analysis
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