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 ...

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, ...

Exploring how Support Vector Machines can aid in the early detection of diabetes using the PIMA dataset. Diabetes is a chronic disease that affects millions worldwide. One of the biggest challenges in ...

What is the true value of a policy project? For governments tasked with improving citizens’ lives while spending taxpayers’ money responsibly, this is no mere academic question. It lies at the heart ...

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 ...

Sleep deprivation is a critical issue that affects workers in numerous industries, including construction. It adversely affects workers and can lead to significant concerns regarding their health, ...

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 ...