Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

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

The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …

Within the recent pandemic, scientists and clinicians are engaged in seeking new
technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning …

Wastewater treatment companies are facing several challenges related to the optimization of
energy efficiency, meeting more restricted water quality standards, and resource recovery …

The advancements in Information and Communication Technologies (ICT) made the
concept of Smart Cities into reality. In a smart city several Internet of Things (IoT) sensors are …

Diabetes is a chronic disease that can affect human health negatively when the glucose
levels in the blood are elevated over the creatin range called hyperglycemia. The current …

Accurately predicting the water quality of treated water from a water treatment plant (WWTP)
based on the obtained operating database is of great significance. However, it is difficult for …

With the continuous release into environments, emerging contaminants (ECs) have attracted
widespread attention for the potential risks, and numerous studies have been conducted on …

The accurate modeling and forecasting of the power output of photovoltaic (PV) systems are
critical to efficiently managing their integration in smart grids, delivery, and storage. This …