AIMC Topic: Linear Models

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Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks.

Scientific reports Dec 5, 2022
In engineering practices, it is critical and necessary to either measure or estimate the uniaxial compressive strength (UCS) of the rock. Measuring the UCS of rocks requires comprehensive studies in the field and in the laboratory for the rock block ...
Machine Learning Fuzzy Logic Compressive Strength Carbonates Least-Squares Analysis Linear Models
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Prediction of monthly dry days with machine learning algorithms: a case study in Northern Bangladesh.

Scientific reports Nov 16, 2022
Dry days at varied scale are an important topic in climate discussions. Prolonged dry days define a dry period. Dry days with a specific rainfall threshold may visualize a climate scenario of a locality. The variation of monthly dry days from station...
Linear Models Bangladesh Algorithms Support Vector Machine Machine Learning
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Application of classical and novel integrated machine learning models to predict sediment discharge during free-flow flushing.

Scientific reports Nov 12, 2022
In this study, the capabilities of classical and novel integrated machine learning models were investigated to predict sediment discharge (Q) in free-flow flushing. Developed models include Multivariate Linear Regression (MLR), Artificial Neural Netw...
Water Linear Models Algorithms Neural Networks, Computer Machine Learning
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A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model.

IEEE journal of biomedical and health informatics Nov 10, 2022
A connection between the general linear model (GLM) with frequentist statistical testing and machine learning (MLE) inference is derived and illustrated. Initially, the estimation of GLM parameters is expressed as a Linear Regression Model (LRM) of a...
Linear Models Machine Learning Support Vector Machine Models, Statistical Humans Least-Squares Analysis
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Machine learning for morbid glomerular hypertrophy.

Scientific reports Nov 9, 2022
A practical research method integrating data-driven machine learning with conventional model-driven statistics is sought after in medicine. Although glomerular hypertrophy (or a large renal corpuscle) on renal biopsy has pathophysiological implicatio...
Glomerular Filtration Rate Hypertrophy Humans Machine Learning Nephrectomy Linear Models
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Development and comparative analysis of ANN and SVR-based models with conventional regression models for predicting spray drift.

Environmental science and pollution research international Oct 25, 2022
As monitoring of spray drift during application can be expensive, time-consuming, and labor-intensive, drift predicting models may provide a practical complement. Several mechanistic models have been developed as drift prediction tool for various typ...
Least-Squares Analysis Nonlinear Dynamics Linear Models Multivariate Analysis Neural Networks, Computer
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Inversion of Soil Organic Matter Content Based on Improved Convolutional Neural Network.

Sensors (Basel, Switzerland) Oct 13, 2022
Soil organic matter (SOM) is an important source of nutrients required during crop growth and is an important component of cultivated soil. In this paper, we studied the possibility of using deep learning methods to establish a multi-feature model to...
Neural Networks, Computer Linear Models Soil Support Vector Machine Regression Analysis
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Waste-to-energy as a tool of circular economy: Prediction of higher heating value of biomass by artificial neural network (ANN) and multivariate linear regression (MLR).

Waste management (New York, N.Y.) Sep 26, 2022
Circular economy is a global trend as a promising strategy for the sustainable use of natural resources. In this context, waste-to-energy presents an effective solution to respond to the ever-increasing waste generation and energy demand duality. How...
Linear Models Neural Networks, Computer Heating Physical Phenomena Biomass
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An affordable and easy-to-use tool for automatic fish length and weight estimation in mariculture.

Scientific reports Sep 19, 2022
Common aquaculture practices involve measuring fish biometrics at different growth stages, which is crucial for feeding regime management and for improving farmed fish welfare. Fish measurements are usually carried out manually on individual fish. Ho...
Animals Image Processing, Computer-Assisted Artificial Intelligence Fisheries Linear Models Fishes Biometry
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Load Prediction Model of Athletes' Physical Training Competition Based on Nonlinear Algorithm Combined with Ultrasound.

Contrast media & molecular imaging Aug 24, 2022
In order to provide theoretical support and ideas for the "dose" of high-stakes physical activity in athletics, the author has developed models for athletic competition based on nonlinear techniques together with ultrasound. Based on test data, avera...
Neural Networks, Computer Humans Exercise Linear Models Algorithms Athletes
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