In the recent years we have seen widespread discussion about productivity. The most
common measures of productivity that are widely used by economists and business …

Study region The present study was conducted in the Machángara Alto and Chulco rivers,
which belong to the Paute basin in the provinces of Azuay and Cañar in southern Ecuador …

Missing values and the inconsistency of the measures of the knowledge economy remain
vexing problems that hamper policy-making and future research in developing and …

Ensemble modelling is a numerical technique used to combine the results of a number of
different individual models in order to obtain more robust, better-fitting predictions. The main …

An artificial neural network (hence after, ANN) is an informationprocessing paradigm that is
inspired by the way biological nervous systems, such as the brain, process information. In …

The Belt and Road Initiative (BRI) under the auspices of the Chinese government was
created as a regional integration and development model between China and her trade …

Hydrological models are widely used tools in water resources management. Their
successful application requires an efficient calibration of the model parameters. Nowadays …

We present a first assessment of the predictive ability of machine learning methods for
inflation forecasting in Costa Rica. We compute forecasts using two variants of k-nearest …

Growth Domestic Product (GDP) is the important factor to know the stability of financial
condition in a country. Regarding into GDP value could be known the economic condition …

This study aims to model the time series data of Rwanda's GDP per capita using the Box–
Jenkins (BJ) approach as a conventional approach and artificial neural networks (ANNs) as …