Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

ABSTRACT: The research examines how different key parameters affect the SEIRD epidemic model through MATLAB Simulink simulations. The simulation model includes three scenarios which consist of a ...

This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...

1 Faculty of Informatics, The University of Fukuchiyama, Kyoto, Japan. 2 School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan. 3 School of Health Sciences, ...

A MATLAB-based machine learning project that implements a Naive Bayes spam email classifier using the UCI Spambase dataset. Includes feature selection, model tuning, performance evaluation, and ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

Abstract: We propose a text classification model based on dependency graph attention convolution, which improves the model’s accurate recognition of the text category by mining the semantic features ...

Introduction: A novel classification scheme for endplate lesions, based on T2-weighted images from magnetic resonance imaging (MRI) scan, has been recently introduced and validated. The scheme ...