Abstract: Cardiovascular disease (CVD) has become the leading cause of human deaths today. In order to combat this disease, many professionals are using mobile electrocardiogram (ECG) remote ...

Abstract: Based on traditional SVM, prior knowledge support vector machine (P-SVM) introduces application-oriented metrics into the training set to express expert knowledge. Developing with SLT theory ...

The algorithm performs tracking of a circle-shaped target given the event-stream from an event-camera. Two hardware implementations are provided: @inproceedings{Glover2017a, address = {Vancouver, ...

This work includes two high performance recognizers. The SVM based recognizer has an accuracy of 90%. It first applies projection-based algorithm to the input image, then use a pre-trained SVM model ...

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...

The “gut–skin axis” has been proposed to play an important role in the development and symptoms of atopic dermatitis. Therefore, we have constructed an interpretable machine learning framework to ...

Due to theintricate and interdependent nature of the smart grid, it has encountered an increasing number of security threats in recent years. Currently, conventional security measures such as ...

Compensatory movements usually occur in stroke survivors with hemiplegia, which is detrimental to recovery. This paper proposes a compensatory movement detection method based on near-infrared ...

Machine learning is an essential branch of artificial intelligence that has made significant strides in recent years. Traditional machine learning methods, on the other hand, have constraints. Quantum ...