In today's fast-paced society, the demands of work often overshadow the importance of healthy eating habits across various age groups. Poor dietary choices and irregular food consumption can lead to significant health issues, highlighting the need for tools that promote better eating behaviors....

The relationship between music and exercise performance has been extensively studied, with research indicating that music can significantly enhance physical activity. This chapter explores the development of an automatic system that generates music beats tailored to the intensity of an...

The study shows the effectiveness of applying digital twins in urban management worldwide and the possibility of using digital twins in urban management in Vietnam by analyzing readiness levels in terms of finance, personnel, and technology. Research on the application of digital twins to manage...

This study introduced an innovative AI-driven solution to enhance the security of home automation systems, addressing the growing vulnerabilities associated with IoT devices. The proposed system combines sophisticated machine-learning techniques with a blockchain-based data-management platform...

Training is an important process for employee and organization growth. Traditional training systems are not effective in leading in the current business environment. AI-driven employee training has transformed the training of corporate organizations. The amalgamation of AI (artificial...

Online public service plays a key role in developing the e-government towards the digital government. It is one of three important pillars according to the United Nations' ranking of e-government for countries around the world. With the digital service development trend, online public service...

This chapter presents a comprehensive comparative analysis of five distinct machine learning algorithms, namely Random Forest, Linear Regression, Bagging Regressor, AdaBoost Regressor, and Decision Tree Regressor, applied to the challenging task of stock price prediction. In an era marked by...

Many people do not view elections as a serious worry for democracy, but they are one of the key events for a strong democratic system of a nation. As this study is concerned with the planning, carrying out, and evaluating the goal of the E-Voting system is to improve the scalability,...

Vision Transformer (ViT) is an advanced image recognition architecture used in healthcare applications. Medical imaging makes over 90% of digital medical application data. AI plays a crucial role in healthcare systems. ViT is also the subfield of AI systems. This chapter discusses the...

This chapter presents a federated learning-based approach to greenhouse temperature prediction using a Long Short-Term Memory (LSTM) model, addressing the challenges of data privacy and computational constraints in a distributed environment. The method incorporates an ensemble function for...