AIMC Topic: Linear Models

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Machine learning and multiple linear regression models can predict ascorbic acid and polyphenol contents, and antioxidant activity in strawberries.

Journal of the science of food and agriculture Sep 18, 2024
BACKGROUND: Strawberry is a rich source of antioxidants, including ascorbic acid (ASA) and polyphenols, which have numerous health benefits. Antioxidant content and activity are often determined manually using laboratory equipment, which is destructi...
Fragaria Ascorbic Acid Fruit Linear Models Neural Networks, Computer Machine Learning Antioxidants Plant Extracts Polyphenols
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Comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs.

Tropical animal health and production Sep 3, 2024
This study was designed to predict the post-weaning weights of Akkaraman lambs reared on different farms using multiple linear regression and machine learning algorithms. The effect of factors the age of the dam, gender, type of lambing, enterprise, ...
Machine Learning Algorithms Female Body Weight Sheep Linear Models Sheep, Domestic Animals Male India Birth Weight
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SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data.

Magma (New York, N.Y.) Aug 29, 2024
OBJECTIVE: Despite the prevalent use of the general linear model (GLM) in fMRI data analysis, assuming a pre-defined hemodynamic response function (HRF) for all voxels can lead to reduced reliability and may distort the inferences derived from it. To...
Brain Mapping Humans Linear Models Neural Networks, Computer Algorithms Brain Hemodynamics ROC Curve Female Image Processing, Computer-Assisted Reproducibility of Results Magnetic Resonance Imaging Adult Male
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Comparison of machine learning methods for genomic prediction of selected Arabidopsis thaliana traits.

PloS one Aug 28, 2024
We present a comparison of machine learning methods for the prediction of four quantitative traits in Arabidopsis thaliana. High prediction accuracies were achieved on individuals grown under standardized laboratory conditions from the 1001 Arabidops...
Quantitative Trait Loci Quantitative Trait, Heritable Genomics Arabidopsis Models, Genetic Neural Networks, Computer Linear Models Machine Learning Genome, Plant Phenotype
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Analyzing the heterogenous effects of factors on high-range speeding likelihood of taxi speeders: Does explainable deep learning provides more insights than random parameter approach?

Accident; analysis and prevention Aug 24, 2024
The random parameters Generalized Linear Model (GLM) is frequently used to model speeding characteristics and capture the heterogenous effects of factors. However, this statistical approach is seldom employed for prediction and generalization due to ...
Neural Networks, Computer Linear Models Humans Deep Learning Risk-Taking Accidents, Traffic Automobile Driving
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Imitating the respiratory activity of the brain stem by using artificial neural networks: exploratory study on an animal model of lactic acidosis and proof of concept.

Journal of clinical monitoring and computing Aug 20, 2024
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. This study aims to evaluate whether ANN can calculate minute volume during spontaneous breathing after being trained using data from an animal model of...
Neural Networks, Computer Algorithms Animals Swine Disease Models, Animal Blood Gas Analysis Acidosis, Lactic Brain Stem Lactic Acid Body Temperature Respiration Hydrogen-Ion Concentration Proof of Concept Study Carbon Dioxide Linear Models
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Elevating hourly PM forecasting in Istanbul, Türkiye: Leveraging ERA5 reanalysis and genetic algorithms in a comparative machine learning model analysis.

Chemosphere Aug 13, 2024
Rapid urbanization and industrialization have intensified air pollution, posing severe health risks and necessitating accurate PM predictions for effective urban air quality management. This study distinguishes itself by utilizing high-resolution ERA...
Seasons Turkey Linear Models Air Pollutants Air Pollution Particulate Matter Machine Learning Algorithms Forecasting Cities Environmental Monitoring
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Development and Validation of Prediction Models for Incident Reversible Cognitive Frailty Based on Social-Ecological Predictors Using Generalized Linear Mixed Model and Machine Learning Algorithms: A Prospective Cohort Study.

Journal of applied gerontology : the official journal of the Southern Gerontological Society Aug 6, 2024
This study aimed to develop and validate prediction models for incident reversible cognitive frailty (RCF) based on social-ecological predictors. Older adults aged ≥60 years from China Health and Retirement Longitudinal Study (CHARLS) 2011-2013 surve...
Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Algorithms Prospective Studies Frail Elderly Linear Models China Cognitive Dysfunction Male Longitudinal Studies Middle Aged Frailty Risk Assessment
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Artificial Intelligence Machine Learning Algorithms Versus Standard Linear Demographic Analysis in Predicting Implant Size of Anatomic and Reverse Total Shoulder Arthroplasty.

Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews Aug 1, 2024
BACKGROUND: Accurate and precise templating is paramount for anatomic total shoulder arthroplasty (TSA) and reverse total shoulder arthroplasty (RSA) to enhance preoperative planning, streamline surgery, and improve implant positioning. We aimed to e...
Linear Models Shoulder Joint Arthroplasty, Replacement, Shoulder Shoulder Prosthesis Male Middle Aged Prosthesis Design Artificial Intelligence Machine Learning Algorithms Retrospective Studies Female Aged Aged, 80 and over Humans
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Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Jul 11, 2024
This paper deals with the lag projective synchronization (LPS) problem for a class of discrete-time fractional-order quaternion-valued neural networks(DTFO QVNNs) systems with time delays. Firstly, a DTFOQVNNs system with time delay is constructed. S...
Time Factors Nonlinear Dynamics Neural Networks, Computer Linear Models Algorithms Computer Simulation Feedback
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