This study presents a novel approach using machine learning techniques to estimate waste
materials' higher heating value (HHV), which plays a crucial role in waste-to-energy …

Driving risk assessment is important to guide the actions, states and behaviours of drivers for
the prevention of road incidents or accidents. With the widespread of sensors constantly …

Industrial waste pollution is a serious and systematic problem that harms the environment
and people. The development of cheap, simple, and efficient techniques to solve this …

Tunnel oxide passivated contacts (TOPCon) have gained interest as a way to increase the
energy conversion efficiency of silicon solar cells, and the International Technology …

Bladder lesion commonly occurs in patients with benign prostatic hyperplasia (BPH), and
the routine screening of bladder lesion is vital for its timely detection and treatment, in which …

The amino acid L-proline exhibits growth factor-like properties during development–from
improving blastocyst development to driving neurogenesis in vitro. Addition of 400 μM L …

Machine learning has shown advantages in assessing wheel degradation in metro vehicles
for fault prognostic and health management (PHM). However, practical implementation faces …

Predicting the vulnerability and failure probability of steel jacket-type offshore platforms
(SJTOPs) during earthquakes is challenging due to uncertainties in structural, soil and …

Fast diagnostics from hyperspectral data and machine learning (ML) models to predict
nitrogen (N) and pigment content in maize crops is challenging to optimize nitrogen …

This paper investigates the application of machine learning to predict the properties of
pervious concrete. Traditional methods like lab tests and formulas have limitations. Machine …