Frontiers

Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression

Ischemic Stroke (IS) stands as a leading cause of mortality and disability globally, with an anticipated increase in IS-related fatalities by 2030. Despite therapeutic advancements, many patients ...
IEEE

Buried Magnetic Material Detection System: An SVM Algorithm Application

Abstract: In recent times, studies about remote-sensing methods have focused on improving variables like sensing distance, sensitivity, and power consumption of available remote-sensing methods. The ...
GitHub

Using LDA, SVM, and Decision Trees to deal with MNIST data set

This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...
Analytics India Magazine

One vs One, One vs Rest with SVM for multi-class classification

Binary classification algorithms are essential for achieving high accuracy in modelling. Support Vector Machines are popular among data scientists for binary classification tasks. One-vs-Rest and ...
IEEE

SVM Classifier and evaluation of muscle power of EMG signals and Python implementation

Abstract: In this work, an EMG-based signal implemented through a Python programming methodology classifier is presented. The developed system is based on the flexor digitorum profundus muscle signals ...
Scientific Research Publishing

Plant Disease Detection with Deep Learning and Feature Extraction Using Plant Village ()

1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...