Abstract Artificial Neural Networks (ANNs) are becoming more popular to model ocean
engineering problems. With the development of Artificial Intelligence, data-driven models …

Accurate PM 2.5 concentrations predicting is critical for public health and wellness as well
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …

The inherent nonlinear and memory-dependent input-output characteristics of piezoelectric
actuators pose challenges to the precision of piezoelectric positioning systems. In order to …

Abstract Predictions of the Air Quality Index (AQI) can provide information on air quality,
aiding individuals in personal protection and environmental conservation, and facilitating …

In this study, the multifaceted toxicity induced by high doses of the essential trace element
molybdenum in Allium cepa L. was investigated. Germination, root elongation, weight gain …

This paper suggests an approach to process and model the data obtained in biomonitoring
studies. The approach is validated on data obtained from biomonitoring studies performed in …

The desulfurization efficiency of flue gas desulfurization (FGD) systems is affected by many
operation parameters, and predicting SO 2 emission concentration through mechanism …

Multi-layer perceptrons (MLPs) rank among the most popular and widely employed
intelligent approaches for approximating the relationships between dependent and …

Agriculture stands as one of the major economic pillars worldwide, with food production
contributing significantly to income growth. However, agricultural activities also entail risks …

Atmospheric ozone (O 3) has been placed on the priority control pollutant list in China's 14th
Five-Year Plan. Due to their unique meteorological conditions, plateau regions contain high …