Twenty-three benchmark functions, five UCI datasets, and an AQI hierarchical classification example are tested to find that the convergence speed and performance of the TVI-PSO-GSA exceed those of ...

The theoretical basis for usage of time-frequency transformations was presented, as well as the principle of operation of the Cubic SVM algorithm for classification tasks.

In this work, a comparative analysis is undertaken using several classifiers like the k-Nearest Neighbor (kNN), Naïve Bayes (NB), Decision Tree (DT), Support Vector Machines (SVM), Random ... are used ...

Traditional time-difference methods were found to be less effective for calculating water flow velocities using the proposed mobile ultrasonic transducers. By employing the AdaBoost algorithm with ...

Some through careful phenotyping and categorisation of the patients based on the St George’s classification pathway/algorithm. The St George’s ... in 2016 (figure 2, pie chart) comparable to the 36% ...

The system is designed to alert operators when the sludge quality deviates from acceptable parameters. Sludge_classification_System/ │ ├── data/ # Data directory (created during preprocessing) │ ├── ...

The Part algorithm (Recursive Partitioning and Regression Trees), implementing the CART (Classification and Regression Trees) technique, was used for this purpose. The Gini index, which maximizes ...

This project implements a binary classification model using TensorFlow/Keras with a simple neural network architecture. The model is trained on randomly generated data and visualizes the training ...