AIMC Topic: Least-Squares Analysis
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Raman spectroscopy with an improved support vector machine for discrimination of thyroid and parathyroid tissues.
Journal of biophotonics
Jun 18, 2024
The objective of this study was to discriminate thyroid and parathyroid tissues using Raman spectroscopy combined with an improved support vector machine (SVM) algorithm. In thyroid surgery, there is a risk of inadvertently removing the parathyroid g...
Development of automatic tuning for combined preprocessing and hyperparameters of machine learning and its application to NIR spectral data of coconut milk adulteration.
Food chemistry
Jun 15, 2024
This study proposed a novel approach to automatically select the preprocessing methods and hyperparameters of machine learning (ML) algorithms based on their best performance in cross-validation for near-infrared (NIR) spectroscopy data. The proposed...
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...
Spectroscopy-based chemometrics combined machine learning modeling predicts cashew foliar macro- and micronutrients.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jun 9, 2024
Precision nutrient management in orchard crops needs precise, accurate, and real-time information on the plant's nutritional status. This is limited by the fact that it requires extensive leaf sampling and chemical analysis when it is to be done over...
ssVERDICT: Self-supervised VERDICT-MRI for enhanced prostate tumor characterization.
Magnetic resonance in medicine
Jun 9, 2024
PURPOSE: Demonstrating and assessing self-supervised machine-learning fitting of the VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumors) model for prostate cancer.
Male
Middle Aged
Deep Learning
Algorithms
Computer Simulation
Prostatic Neoplasms
Prostate
Supervised Machine Learning
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Least-Squares Analysis
Humans
Neural Networks, Computer
Image Interpretation, Computer-Assisted
Diffusion Magnetic Resonance Imaging
Chaotic neural network algorithm with competitive learning integrated with partial Least Square models for the prediction of the toxicity of fragrances in sanitizers and disinfectants.
The Science of the total environment
Jun 5, 2024
This study addresses the need for accurate structural data regarding the toxicity of fragrances in sanitizers and disinfectants. We compare the predictive and descriptive (model stability) potential of multiple linear regression (MLR) and partial lea...
Real-time haptic characterisation of Hunt-Crossley model based on radial basis function neural network for contact environment.
Journal of the mechanical behavior of biomedical materials
Jun 3, 2024
Dynamic soft tissue characterisation is an important element in robotic minimally invasive surgery. This paper presents a novel method by combining neural network with recursive least square (RLS) estimation for dynamic soft tissue characterisation b...
Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification.
IEEE transactions on neural networks and learning systems
Jun 3, 2024
The emerging matrix learning methods have achieved promising performances in electroencephalogram (EEG) classification by exploiting the structural information between the columns or rows of feature matrices. Due to the intersubject variability of EE...
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 ...
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. ...
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