In recent years, the application of Large Language Models (LLMs) in healthcare has shown
significant promise in improving the accessibility and dissemination of medical knowledge …

Bridges are essential portions of a nation's infrastructure systems. Although general rules
and guidelines are available for bridge preservation activity prediction, due to the intricate …

Healthy eating apps have gained popularity as tools for promoting dietary improvements
and supporting behavior change. Despite their potential, maintaining user engagement and …

The decision-making for bridge preservation constitutes two types of rules: explicit rules,
which are based on clear specifications to establish an overall baseline preservation plan …

This study explores the potential of real-time personalization to enhance user engagement
in web applications through adaptive interfaces. Although traditional static interfaces are …

In the face of the new economic environment, enterprises must continuously enhance their
capabilities to achieve long-term development. In the current market scenario, business …

The deferred maintenance practices for road infrastructure will result in increasing life-cycle
costs and deteriorating economic productivity. Governments have addressed the issue by …

Ensuring that large language models (LLMs) generate responses that resonate with users is
critical for successful interactions. This study leverages machine learning techniques to …

This paper presents a novel method for predicting momentum in competitive settings using
machine learning algorithms. The study focuses on integrating various momentum indicators …

This paper presents a predictive model based on Wavelet Neural Networks (WNN) and
Particle Swarm Optimization (PSO) to forecast momentum in competitive environments …