To explore the water-energy-carbon nexus of wastewater treatment (WWT), advanced tools
such as machine learning play a crucial role. Current research has primarily constructed …

Improving the evaluation criteria for the soundscape of urban green spaces is essential for
the purposes of designing and planning. Nevertheless, studies that focus on the significance …

In this research, typical industrial scenarios were analyzed optimized by machine learning
algorithms, which fills the gap of massive data and industrial requirements in ultrasonic …

Maintaining high ventilation rates in operating rooms (ORs) is critical to ensure the safety of
healthcare professionals and patients. Yet, the significant energy consumption associated …

The OLS and ridge regression (RR) estimators are adversely affected, when the problem of
multicollinearity and y-direction outliers occur together. The robust ridge regression with …

Bootstrap is a simple, yet powerful method of estimation based on the concept of random
sampling with replacement. The ridge regression using a biasing parameter has become a …

This study presents a displacement prediction model that integrating various monitoring data
sources to comprehensive landslide monitoring information utilization. The research focuses …

The research aims to ridge regression modelling to investigate the rainfall trends and
temporal patterns of the variability the very comprehensive understanding of the …

Indoor air quality is the foundation of a good indoor environment. The COVID-19 pandemic
further highlighted the importance of providing real-time airflow distribution information …

Improving the evaluation criteria for the soundscape of urban green spaces is essential for
the purposes of designing and planning. Nevertheless, studies that focus on the significance …