AIMC Topic: Regression Analysis

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Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.

International journal of biometeorology Apr 27, 2024
Cotton is a major economic crop predominantly cultivated under rainfed situations. The accurate prediction of cotton yield invariably helps farmers, industries, and policy makers. The final cotton yield is mostly determined by the weather patterns th...
Neural Networks, Computer Machine Learning Forecasting Models, Theoretical Weather Regression Analysis Gossypium Rain
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Estimation of instantaneous peak flows in Canadian rivers: an evaluation of conventional, nonlinear regression, and machine learning methods.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 17, 2024
Instantaneous peak flows (IPFs) are often required to derive design values for sizing various hydraulic structures, such as culverts, bridges, and small dams/levees, in addition to informing several water resources management-related activities. Comp...
Rivers Machine Learning Water Movements Regression Analysis Models, Theoretical Canada Nonlinear Dynamics
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Machine learning and regression analysis for age estimation from the iliac crest based on computed tomographic explorations in an Indian population.

Medicine, science, and the law Sep 5, 2023
Age estimation constitutes an integral parameter of identification. In children, sub-adults, and young adults, accurate age estimation is vital on various aspects of civil, criminal, and immigration law. The iliac crest presents as a suitable age mar...
Female Young Adult Adult Machine Learning Tomography, X-Ray Computed Adolescent Child India Male Middle Aged Humans Age Determination by Skeleton Forensic Anthropology Regression Analysis Ilium
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Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach.

Food science and technology international = Ciencia y tecnologia de los alimentos internacional Apr 18, 2023
The purpose of this study was to create a tool for predicting the growth of total mesophilic bacteria in spinach using machine learning-based regression models such as support vector regression, decision tree regression, and Gaussian process regressi...
Spinacia oleracea Decision Trees Food Microbiology Support Vector Machine Bacteria Machine Learning Regression Analysis Software
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Implementation of hybrid wind speed prediction model based on different data mining and signal processing approaches.

Environmental science and pollution research international Apr 18, 2023
Accurate estimation of wind speed (WS) data, which greatly influences meteorological parameters, plays a vital role in the safe operation and optimization of the power system and water resource management. The study's main aim is to combine artificia...
Artificial Intelligence Wind Data Mining Regression Analysis Neural Networks, Computer
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Major Determinants of Innovation Performance in the Context of Healthcare Sector.

International journal of environmental research and public health Mar 12, 2023
Through the innovation network (IN) and the use of artificial intelligence (AI), this study aims to look into the innovation performance (IP) of the healthcare industry. Digital innovation (DI) is also tested as a mediator. For the collection of data...
Humans Regression Analysis Health Care Sector Creativity Artificial Intelligence Cross-Sectional Studies
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Neural network model for imprecise regression with interval dependent variables.

Neural networks : the official journal of the International Neural Network Society Feb 9, 2023
This paper presents a computationally feasible method to compute rigorous bounds on the interval-generalization of regression analysis to account for epistemic uncertainty in the output variables. The new iterative method uses machine learning algori...
Machine Learning Algorithms Uncertainty Regression Analysis Neural Networks, Computer
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A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge.

Scientific reports Jan 23, 2023
Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel, open-source computational framework called Scientist-Machine Equation Detector (SciMED), which inte...
Nonlinear Dynamics Machine Learning Algorithms Regression Analysis
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Study on an Assembly Prediction Method of RV Reducer Based on IGWO Algorithm and SVR Model.

Sensors (Basel, Switzerland) Dec 29, 2022
This paper proposes a new method for predicting rotation error based on improved grey wolf-optimized support vector regression (IGWO-SVR), because the existing rotation error research methods cannot meet the production beat and product quality requir...
Neural Networks, Computer Research Design Algorithms Regression Analysis
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Artificial Intelligence-based CT Assessment of Bronchiectasis: The COPDGene Study.

Radiology Dec 13, 2022
Background CT is the standard method used to assess bronchiectasis. A higher airway-to-artery diameter ratio (AAR) is typically used to identify enlarged bronchi and bronchiectasis; however, current imaging methods are limited in assessing the extent...
Cohort Studies Humans Follow-Up Studies Aged Artificial Intelligence Female Regression Analysis Pulmonary Disease, Chronic Obstructive Male Bronchi Smokers Middle Aged Tomography, Emission-Computed Bronchiectasis
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