Deep learning methods can be applied to generate predictive models. We worked with the gross domestic product (GDP) of six Latin American countries: Argentina, Brazil, Chile, Colombia, Mexico, and Peru, using annual and quarterly macroeconomic indicators from the World Bank and the Economic Commission for Latin America and the Caribbean (ECLAC), respectively. For the pre-processing of the data, we decomposed the quarterly series into trend, seasonality, and residual and used them as additional characteristics to provide more information to the models. In addition, outliers resulting from the impact of the COVID-19 pandemic on the world economy were replaced. Multilayer perceptron, convolutional neural networks, LSTM, GRU, and SeqToSeq models were built for each country and their series’ frequency, then evaluated by continuous cross-validation and MAE, RMSE, and MAPE metrics. The optima...

Augmented reality (AR) can help in different areas of scientific research, such as handling expensive, easy-to-break or dangerous equipment. Since the components for the construction of a robot can be considerably expensive, augmented reality can be applied in the manufacture of robots to reduce costs, allowing users to experience handling robotic components without having to buy them. This study aims to measure the quality of user experience with an augmented reality application in robotics. To do this, we created an application that uses hand gestures to assemble a robotic arm. This article presents the results obtained, the user’s efficiency rates in assembling the robotic arm, and an assessment of the application’s usability. The study aims to measure the quality of the user experience when interacting with an AR application in the field of robotics. Therefore, the application wa...

Augmented reality (AR) can help in different areas of scientific research, such as handling expensive, easy-to-break or dangerous equipment. Since the components for the construction of a robot can be considerably expensive, augmented reality can be applied in the manufacture of robots to reduce costs, allowing users to experience handling robotic components without having to buy them. This study aims to measure the quality of user experience with an augmented reality application in robotics. To do this, we created an application that uses hand gestures to assemble a robotic arm. This article presents the results obtained, the user’s efficiency rates in assembling the robotic arm, and an assessment of the application’s usability. The study aims to measure the quality of the user experience when interacting with an AR application in the field of robotics. Therefore, the application wa...

Deep learning methods can be applied to generate predictive models. We worked with the gross domestic product (GDP) of six Latin American countries: Argentina, Brazil, Chile, Colombia, Mexico, and Peru, using annual and quarterly macroeconomic indicators from the World Bank and the Economic Commission for Latin America and the Caribbean (ECLAC), respectively. For the pre-processing of the data, we decomposed the quarterly series into trend, seasonality, and residual and used them as additional characteristics to provide more information to the models. In addition, outliers resulting from the impact of the COVID-19 pandemic on the world economy were replaced. Multilayer perceptron, convolutional neural networks, LSTM, GRU, and SeqToSeq models were built for each country and their series’ frequency, then evaluated by continuous cross-validation and MAE, RMSE, and MAPE metrics. The optima...