AIMC Topic: Least-Squares Analysis

Clear Filters Showing 181 to 190 of 406 articles

Comparison of partial least square, artificial neural network, and support vector regressions for real-time monitoring of CHO cell culture processes using in situ near-infrared spectroscopy.

Biotechnology and bioengineering Dec 6, 2021
The biopharmaceutical industry must guarantee the efficiency and biosafety of biological medicines, which are quite sensitive to cell culture process variability. Real-time monitoring procedures based on vibrational spectroscopy such as near-infrared...
Spectroscopy, Near-Infrared Support Vector Machine Culture Media Neural Networks, Computer Animals Least-Squares Analysis Cricetinae Batch Cell Culture Techniques CHO Cells Cricetulus
View on PubMed DOI

Study on Multi-Model Soft Sensor Modeling Method and Its Model Optimization for the Fermentation Process of .

Sensors (Basel, Switzerland) Nov 17, 2021
The problems that the key biomass variables in fermentation process are difficult measure in real time; this paper mainly proposes a multi-model soft sensor modeling method based on the piecewise affine (PWA) modeling method, which is optimized by p...
Least-Squares Analysis Fermentation Algorithms Saccharomycetales Support Vector Machine
View on PubMed DOI

Comparing linear and non-linear data-driven approaches in monthly river flow prediction, based on the models SARIMA, LSSVM, ANFIS, and GMDH.

Environmental science and pollution research international Nov 13, 2021
River flow variations directly affect the hydro-climatological, environmental, and ecological characteristics of a region. Therefore, an accurate prediction of river flow can critically be important for water managers and planners. The present study ...
Support Vector Machine Least-Squares Analysis Linear Models Hydrology Rivers
View on PubMed DOI

Spectroscopy and imaging technologies coupled with machine learning for the assessment of the microbiological spoilage associated to ready-to-eat leafy vegetables.

International journal of food microbiology Oct 29, 2021
Based on both new and previously utilized experimental data, the present study provides a comparative assessment of sensors and machine learning approaches for evaluating the microbiological spoilage of ready-to-eat leafy vegetables (baby spinach and...
Machine Learning Spectroscopy, Fourier Transform Infrared Spinacia oleracea Least-Squares Analysis Vegetables
View on PubMed DOI

Interval-Based Least Squares for Uncertainty-Aware Learning in Human-Centric Multimedia Systems.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Machine learning (ML) methods are popular in several application areas of multimedia signal processing. However, most existing solutions in the said area, including the popular least squares, rely on penalizing predictions that deviate from the targe...
Humans Neural Networks, Computer Least-Squares Analysis Uncertainty Multimedia Machine Learning Image Processing, Computer-Assisted
View on PubMed DOI

Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training.

PloS one Oct 18, 2021
Phoneme pronunciations are usually considered as basic skills for learning a foreign language. Practicing the pronunciations in a computer-assisted way is helpful in a self-directed or long-distance learning environment. Recent researches indicate th...
Speech Perception Speech Acoustics Vocal Cords Deep Learning Humans Language Support Vector Machine Learning Least-Squares Analysis
View on PubMed DOI

A weighted twin support vector machine as a potential discriminant analysis tool and evaluation of its performance for near-infrared spectroscopic discrimination of the geographical origins of diverse agricultural products.

Talanta Oct 14, 2021
A weighted twin support vector machine (wTWSVM) was proposed as a potential discriminant analysis tool and its utility was evaluated for near-infrared (NIR) spectroscopic identification of the geographical origins of 12 different agricultural product...
Support Vector Machine Least-Squares Analysis Spectroscopy, Near-Infrared Discriminant Analysis Geography Agriculture
View on PubMed DOI

Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression.

Computational and mathematical methods in medicine Oct 13, 2021
COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumul...
Models, Statistical Least-Squares Analysis Communicable Diseases Climate Geography COVID-19 Reproducibility of Results Computational Biology Spatial Regression Algorithms Epidemics Environmental Monitoring China Humans SARS-CoV-2 Social Class Cities Machine Learning
View on PubMed DOI

Nature inspired computation and ensemble neural network to build a robust model for spectral data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 9, 2021
UV spectrophotometry was introduced for simultaneous determination of Itraconazole (ITZ) and Secnidazole (SEZ) in their mixture without any prior separation. In this study, fourteen nature-inspired algorithms combined with partial least squares (PLS)...
Calibration Spectrophotometry Algorithms Least-Squares Analysis Neural Networks, Computer
View on PubMed DOI

Detection of heavy metal lead in lettuce leaves based on fluorescence hyperspectral technology combined with deep learning algorithm.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 6, 2021
The feasibility analysis of fluorescence hyperspectral imaging technology was studied for the detection of lead content in lettuce leaves. Further, Monte Carlo optimized wavelet transform stacked auto-encoders (WT-MC-SAE) was proposed for dimensional...
Metals, Heavy Least-Squares Analysis Lactuca Algorithms Technology Lead Plant Leaves Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals