An automatic calibration of water quality model is developed in this research. Automatic
calibration as the process to determine the parameters appearing in the equations of a 2 …

Cloud computing environments facilitate applications by providing virtualized resources that
can be provisioned dynamically. However, users are charged on a pay-per-use basis. User …

This paper presents approaches for effectively computing all global minimizers of an
objective function. The approaches include transformations of the objective function through …

Air quality in metropolitan areas has deteriorated due to growing urbanisation and
industrialisation, leading to severe health and significant economic consequences. This …

With the development of the economy and society all over the world, most metropolitan cities
are experiencing elevated concentrations of ground-level air pollutants. It is urgent to predict …

In this study, linear and nonlinear modeling was performed to predict the urban air quality of
the Lucknow city (India). Partial least squares regression (PLSR), multivariate polynomial …

Monitoring and forecasting of air quality parameters are popular and important topics of
atmospheric and environmental research today due to the health impact caused by …

Particulate atmospheric pollution in urban areas is considered to have significant impact on
human health. Therefore, the ability to make accurate predictions of particulate ambient …

We introduce a new algorithm for fuzzy cognitive maps learning. The proposed approach is
based on the particle swarm optimization method and it is used for the detection of proper …

There are many traditional methods to find the optimum parameters of a tuned mass damper
(TMD) subject to stationary base excitations. It is very difficult to obtain the optimum …