Modelling wastewater processes supports tasks such as process prediction, soft sensing,
data analysis and computer assisted design of wastewater systems. Wastewater treatment …

Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …

The work represents a successful attempt to combine a gas sensors array with
instrumentation (hardware), and machine learning methods as the basis for creating …

Abstract Indole-3-acetic acid (IAA) represents a crucial phytohormone regulating specific
tropic responses in plants and functions as a chemical signal between plant hosts and their …

Water is a critically scarce resource for industrial production and social life. The discharge of
untreated wastewater into natural waters can pose a serious risk to human health. Most of …

Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …

This study experimented biogas production from Arachis hypogea shells subjected to
combined pretreatments, namely particle size reduction and Fe3O4 additives. Further to this …

Process monitoring models play an increasingly indispensable role in promptly
differentiating faults within the wastewater treatment process to maintain a safe state. The …

The quality of groundwater is of utmost importance, as it directly impacts human health and
the environment. In major parts of the world, groundwater is the main source of drinking …

This study identified literatures from the Web of Science Core Collection on the application
of artificial intelligence in wastewater treatment from 2011 to 2022, through bibliometrics, to …