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Ensemble Regularized Polynomial Regression for Diagnosing Breast Cancer Subtypes
Accurate diagnosis of breast cancer subtypes is crucial for prevention and treatment. This paper proposed a method to address the non-linear...
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Expedited surrogate-based quantification of engineering tolerances using a modified polynomial regression
Statistical analysis is frequently used to determine how manufacturing tolerances or operating condition uncertainties affect system performance....
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Fault Detection and Diagnosis of PV Systems Using Kalman-Filter Algorithm Based on Multi-zone Polynomial Regression
Faults must be timely diagnosed, detected, and identified to enhance photovoltaic (PV) system’s dependability. In this context, this paper presents a...
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5 Polynomial Hammerstein models
In this chapter, we will review seven methods of the identification of Hammerstein systems which use Hammerstein models with a polynomial model of...
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Prediction of Rotor Slot Size Variations in Induction Motor Using Polynomial Chirplet Transform and Regression Algorithms
For constant monitoring of rotor slot in induction motor, average rotor slot variation (ARSV) prediction is proposed. The rotor slots expand due to...
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Determination of the polynomial restoring force of a one DoF bistable Duffing oscillator by linear regression
A large class of energy-harvesting systems includes a bistable magnetoelastic oscillator. Due to the high complexity of the inherent magnetic field...
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Solar Panel Fault Analysis Using Regression Models
Solar photovoltaic (PV) systems are critical in harnessing renewable energy from the sun, yet they are susceptible to faults that can significantly...
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Estimation of switching losses considering non-linear parasitic capacitances of GaN E-HEMT
The power loss estimation of a gallium nitride enhancement-mode high electron mobility transistor (GaN E-HEMT) is necessary to optimize a thermal...
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Non-parametric Dual Control of Non-minimum Phase Linear Dynamic Plant Using Shunt Compensator
This article describes a new design approach of dual control systems for non-minimum phase dynamic systems which involve the use of shunt...
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Correlation and Regression
In technical reliability analysis, many studies focus on the dependence or correlation of various function- or safety–critical characteristics on...
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Wake Modelling of Horizontal-Axis Wind Turbines Using Sparse Identification of Non-linear Dynamics (SINDy)
Performing accurate modelling of measurement data from a non-linear dynamic system is a challenging task prone to many idealized assumptions and...
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Prediction of COVID-19 Active Cases Using Polynomial Regression and ARIMA Models
The fast spread of Covid-19 or the novel Coronavirus in the world has influenced it and caused a huge number of deaths. This remains a disastrous...
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Prediction of compressive strength of GGBFS and Flyash-based geopolymer composite by linear regression, lasso regression, and ridge regression
This study aims to propose an efficient technique for improving the compressive strength of geopolymer concrete using Flyash and GGBS. Various...
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Collocation Methods and Beyond in Non-linear Mechanics
Within the realm of isogeometric analysis, isogeometric collocation has been driven by the attempt to minimize the cost of quadrature associated with...
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Linear Regression Models
Another widely used analysis method originating from statistics is linear regression. Since many application problems require the prediction of a...
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Non-linear System Identification for UAS Adaptive Control
Fast aircraft prototy**, fault detection, morphing surfaces, and real-time generation of dynamic models are just some of the advantages of a model...
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Comparative Study of Supervised Regression Algorithms in Machine Learning
Recently regression has gained a lot of interest in the research in both statistics and machine learning (ML) and it is applicable in a wide range of...
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Develo** explicit customer preference models using fuzzy regression with nonlinear structure
In online sales platforms, product design attributes influence consumer preferences, and consumer preferences also have a significant impact on...
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Regression Models for Machine Learning
This chapter investigates the regression models and methods for machine learning in engineering computations, from both non-Bayesian and Bayesian...
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Airbnb Price Prediction Using Advanced Regression Techniques and Deployment Using Streamlit
This article seeks to anticipate AirBnB prices using advanced regression approaches. Extensive data analysis was done on different databases spanning...