Accurate received signal level (Rxlevel) values are useful for mobile telecommunication
network planning. Rxlevel is affected by the dynamics of the atmosphere through which it …

This article investigates the out-of-sample forecasting performance of some linear and
nonlinear univariate time series models on the monthly seasonally adjusted Canadian …

Accurate hydrological simulations comply with the water (sixth) Sustainable Development
Goals (SDGs). The study investigates the utility of ANN and SVR, as well as the post …

Atmospheric temperature is one of the dominating atmospheric parameters that impact on
the propagation of radio waves through the troposphere. Adequate knowledge of the …

In this study, pruned vine particles and wood particles in five various proportions were used
as the raw material for three-layer particleboards. Primarily, small size sample panels …

The aim of this work is to identify failure modes of double pinned sandwich composite plates
by using artificial neural networks learning algorithms and then analyze their accuracies for …

Nowadays, job prediction is an essential task for every organization because of the
influence of job fitting or job suitability. Job fit is a concept that refers to how well an …

Student satisfaction with courses in academic institutions is an important issue and is
recognized as a form of support in ensuring effective and quality education, as well as …

Direct torque control is used in the high performance control of induction motors. The most
frequently faced problem of it is high torque ripples. In this study, a new approach based on …

Purpose This paper aims to deal with the optimal choice of a novel extreme learning
machine (ELM) architecture based on an ensemble of classic ELM called Meta-ELM …