Abstract: Measuring the equivalence ratio using flame spectral data is a key focus in combustion diagnostic techniques. Traditional methods rely on chemiluminescent bands with distinct spectral ...

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...

In this project, I compare several commonly used machine learning models, namely K-Nearest Neighbors (KNN), Kernel SVM, Logistic Regression, Naive Bayes, SVM, Decision Tree, and Random Forest. I ...

To address these challenges, we propose an SVM/RBF-based method for power control (PC) that leverages SVM regression to predict optimal PC vectors and utilizes RBF kernels to enhance prediction ...

(50) The random forest regressor is an ensemble learning technique tailored for regression tasks. (18) It constructs multiple decision trees during training and averages their predictions to enhance ...

In this paper, the network is constructed using MATLAB artificial neural network toolbox functions. The network is a two-layer feedforward network, including input, hidden and output layers, with a ...