Artificial intelligence (AI) is develo** and expanding rapidly beyond the expectations of
engineers who develop it as well. It is evaluated that it has/will have great potential not only …

This paper compared physics-informed neural network (PINN), conventional neural network
(NN) and traditional numerical discretization methods on solving differential equations (DEs) …

This study aims to design an epidemic prevention and control bracelet system that integrates
convolutional neural network (CNN). This system can collect and process the user's …

Background/Objectives: This study aimed to evaluate the accuracy of machine learning (ML)
techniques in classifying pediatric individuals—cardiological patients, healthy participants …

Objective To explore the correlation between park view elements and their combinations on
the heart rate (HR) and speed of walkers, joggers, and runners in different groups of …

This study introduces a novel dual‐context Long Short‐Term Memory (LSTM) model for
personalized exercise heart rate estimation and distribution analysis based on wearable …

Heart rate (HR) is a key indicator of fitness and cardiovascular health, and accurate HR
monitoring and prediction are essential for enhancing personalized fitness experiences. The …

Wearable technologies and self-tracking healthcare apps are becoming increasingly
popular among people all over the world. Moreover, with the rapid increase in technological …

Rationale Pulmonary arterial hypertension (PAH) is a life-threatening progressive
cardiopulmonary disease associated with high morbidity and mortality. Changes in the six …

The built environment (BE) fails to meet the accessibility needs of people with mobility
impairments (MI), particularly those who have a spinal cord injury and use a manual …