AIMC Topic: Least-Squares Analysis

Clear Filters Showing 381 to 390 of 406 articles

Predictability of carcass traits in live Tan sheep by real-time ultrasound technology with least-squares support vector machines.

Animal science journal = Nihon chikusan Gakkaiho Jan 1, 2022
This study aimed to investigate the performance of least-squares support vector machines to predict carcass characteristics in Tan sheep using noninvasive in vivo measurements. A total of 80 six-month-old Tan sheep (37 rams and 43 ewes) were examined...
Male Ultrasonography Support Vector Machine Technology Female Animals Meat Body Composition Sheep Muscle, Skeletal Adipose Tissue Least-Squares Analysis
View on PubMed DOI

Deep learning-based stereophonic acoustic echo suppression without decorrelation.

The Journal of the Acoustical Society of America Aug 1, 2021
Traditional stereophonic acoustic echo cancellation algorithms need to estimate acoustic echo paths from stereo loudspeakers to a microphone, which often suffers from the nonuniqueness problem caused by a high correlation between the two far-end sign...
Neural Networks, Computer Algorithms Deep Learning Least-Squares Analysis Acoustics
View on PubMed DOI

Detection of Aflatoxin B1 in Peanut Oil Using Attenuated Total Reflection Fourier Transform Infrared Spectroscopy Combined with Partial Least Squares Discriminant Analysis and Support Vector Machine Models.

Journal of food protection Jul 1, 2021
ABSTRACT: This study was conducted to establish a rapid and accurate method for identifying aflatoxin contamination in peanut oil. Attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy combined with either partial least squar...
Peanut Oil Least-Squares Analysis Discriminant Analysis Aflatoxin B1 Support Vector Machine Spectroscopy, Fourier Transform Infrared
View on PubMed DOI

Prediction of Blood Glucose Concentration Based on CEEMD and Improved Particle Swarm Optimization LSSVM.

Critical reviews in biomedical engineering Jan 1, 2021
Aiming at the difficulty of accurate prediction due to the randomness and nonstationary nature of blood glucose concentration series, a blood glucose concentration prediction model based on complementary ensemble empirical mode decomposition (CEEMD) ...
Blood Glucose Support Vector Machine Least-Squares Analysis Humans Algorithms
View on PubMed DOI

Marine animal tracking with classical and emerging localization algorithms.

Science robotics Nov 25, 2020
Localization algorithms applied to acoustic tags for tracking marine animals can also be used to localize marine robots.
Least-Squares Analysis Aquatic Organisms Acoustics Robotics Remote Sensing Technology Likelihood Functions Algorithms Animals
View on PubMed DOI

Determination of Electrocution Using Fourier Transform Infrared Microspectroscopy and Machine Learning Algorithm.

Fa yi xue za zhi Feb 1, 2020
Objective To analyze the differences among electrical damage, burns and abrasions in pig skin using Fourier transform infrared microspectroscopy （FTIR-MSP） combined with machine learning algorithm, to construct three kinds of skin injury determinatio...
Animals Swine Least-Squares Analysis Fourier Analysis Machine Learning Algorithms
View on PubMed DOI

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.

Neuroinformatics Jan 1, 2020
Functional connectivity networks, derived from resting-state fMRI data, have been found as effective biomarkers for identifying mild cognitive impairment (MCI) from healthy elderly. However, the traditional functional connectivity network is essentia...
Algorithms Least-Squares Analysis Brain Female Magnetic Resonance Imaging Aged Brain Mapping Male Cognitive Dysfunction Humans Neural Networks, Computer
View on PubMed DOI

Artificial intelligence in drug combination therapy.

Briefings in bioinformatics Jul 19, 2019
Currently, the development of medicines for complex diseases requires the development of combination drug therapies. It is necessary because in many cases, one drug cannot target all necessary points of intervention. For example, in cancer therapy, a...
Gene Expression Regulation, Neoplastic Support Vector Machine Bayes Theorem Least-Squares Analysis Drug Interactions Expert Systems Deep Learning Computational Biology Logistic Models Machine Learning Neoplasms Stochastic Processes Drug Therapy, Combination Drug Resistance Humans Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

An improved least squares SVM with adaptive PSO for the prediction of coal spontaneous combustion.

Mathematical biosciences and engineering : MBE Apr 12, 2019
The problem of coal spontaneous combustion prediction is very complex, and there are many factors that affect the prediction results. In order to solve the issues of high dimension and redundancy among features and limited samples in the prediction o...
Oxygen Consumption Least-Squares Analysis Coal Support Vector Machine Oxygen Fires Nonlinear Dynamics Spontaneous Combustion Software Algorithms Computer Simulation Temperature
View on PubMed DOI

Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
Recently, low-dose computed tomography (CT) has become highly desirable due to the increasing attention paid to the potential risks of excessive radiation of the regular dose CT. However, ensuring image quality while reducing the radiation dose in th...
Radiation Dosage Phantoms, Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted Least-Squares Analysis Machine Learning Algorithms
View on PubMed DOI
Popular Topics
Recent Journals