Abstract: Accurately diagnosing compound faults in gearboxes, where multiple fault modes co-occur, poses significant challenges, particularly when labeled training data is limited. This article ...

An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...

I read in the documentation that a file *_svm_model.pkl is created. However, this file is not created for me. "use_SVM_to_remove_outliers" is true and the log file says: 2025-10-18 17:05:09,321 - ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

1 School of Agricultural Engineering, Jiangsu University, Zhenjiang, China 2 Key Laboratory for Theory and Technology of Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang ...

Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...

1 Mathematics and Statistics, Austin Peay State University Clarksville, Tennessee, USA. 2 Technology, University of Central Missouri, Warrensburg, MO, USA. 3 Business Administration, Austin Cornell ...

Abstract: Aiming at the characteristics of low cost and complex influencing factors of CNC machine tool failure data sample collection, a combination prediction model based on gray prediction and ...