Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …

Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …

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

In the modern era, deep learning (DL), and machine learning (ML), have emerged as
potential technologies that are widely applied in the fields of science, engineering, and …

Wastewater recycling is the measure with enormous potentiality to achieve carbon neutrality
in wastewater treatment plants. High-precision online monitoring can improve the stability of …

Intensive aquaculture practices generate highly polluted organic effluents such as biological
oxygen demand (BOD), alkalinity, total ammonia, nitrates, calcium, potassium, sodium, iron …

Rapid urbanization, industrial development, and climate change have resulted in water
pollution and in the quality deterioration of surface and groundwater at an alarming rate …

In the present study, a stable and more selective electrochemical sensor for catechol (CC)
detection at magnetic molecularly imprinted polymer modified with green reduced graphene …

Gastric Cancer is the most common malignancy of the digestive tract, which is the third
leading cause of cancer-related mortality worldwide. The early prognosis methods …

Wastewater treatment process control optimization is a complex task in a highly nonlinear
environment. Reinforcement learning (RL) is a machine learning technique that stands out …