In this study, 9 remaining water components of Madian River in the Baraftab were
considered. Autoregressive Integrated Moving Average modeling techniques are …

The paper describes the training, validation and application of artificial neural network
(ANN) models for computing the dissolved oxygen (DO) and biochemical oxygen demand …

In this paper, we propose a novel localization methodology to enhance the accuracy from
two aspects, ie, adapting to the uncertain noise of microelectromechanical system-based …

Accurate prediction of the chemical constituents in major river systems is a necessary task
for water quality management, aquatic life well-being and the overall healthcare planning of …

Understanding the factors that influence temporal variability in water quality is critical for
designing water quality management strategies. In this study, we explore the key factors that …

Accurate water quality time series prediction can provide support to early warning of water
pollution as well as decision-making for water resource management. Due to the uncertainty …

The paper describes linear and nonlinear modeling for simultaneous prediction of the
dissolved oxygen (DO) and biochemical oxygen demand (BOD) levels in the river water …

The authors present a physics-based approach for recovering the 3-D shape and tracking
the motion of nonrigid objects using a 3-D elastically deformable balloon model. The balloon …

Hepatitis A virus (HAV) infection is not a problem of only developing countries, but also of
developed countries. In this study, we compared time series prediction capabilities of three …

Today, due to the increase in the population, the growth of industry and the variety of
chemical compounds, the quality of drinking water has decreased. Five important river water …