Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

The on-line monitoring of wastewater treatment plant (WWTP) operations is a challenge due
to interference and breakdown from the harsh conditions endured by sensors in wastewater …

Artificial intelligence (AI) is nowadays an upcoming technology. It is a practice of simulating
human intelligence for varied applications. When compared with the standard practices, AI is …

A uniform manifold approximation and projection (UMAP) and long short-term memory
(LSTM) deep learning model have been proposed to forecast a sealed-off area's fire status …

As clean water can be considered among the essentials of human life, there is always a
requirement to seek its foremost and high quality. Water primarily becomes polluted due to …

The wastewater treatment process (WWTP) is a complex biochemical reaction process in
which sensor data has strong nonlinear, non-Gaussian and time correlation characteristics …

Accurate prediction of effluent total phosphorus is essential for the stable and efficient
operation of urban wastewater treatment plants. Aiming at the problem that effluent total …

Land salinization is one of the most important factors in reducing the soil quality of
agricultural land. Accordingly, these regions affected agricultural production and ecological …

Considering that awareness of the effects of changes in the important operating variables of
a wastewater treatment reactor is essential for its designing and maximizing efficiency, this …

As rupturas em aterros sanitários são atribuídas a razões como composição heterogênea,
avaliação inadequada dos parâmetros de resistência ao cisalhamento e aos efeitos da …