The objective of this research is to solve a scheduling problem using memetic algorithms which solve problems with a large number of variables and constraints. This method can be applied to different scheduling problems ...

The presence of earthquake swarms and clusters in the north and northeast of the island of Puerto Rico in the northeastern Caribbean have been recorded by the Puerto Rico Seismic Network (PRSN) since it started operations ...

El uso de los sistemas de cómputo, permitido el mejor acondicionamiento de las predicciones que se realizan de los fenómenos atmosféricos. Sin embargo, aún este tipo de predicciones es un reto que se les presenta a la ...

Pressurized water reactors (PWR) are safely operating below maximum heat flux conditions because actual heat flux partitioning models fail to predict it accurately. Improving the heat flux models will lead to more efficient ...

In the current world of science and technology the data arrive continuously over time, this type of data is called data stream and is impractical to store all of the data. The data mining and traditional techniques of ...

Time-frequency methods (TFM) increase the dimensionality of signal spaces. In this thesis, a computational signal processing framework using tensor products algebra is developed to map Electroencephalographic (EEG) signals ...

Irrigation canals transport water from a source, such as a natural river or a reservoir, to a crop field or a community, making them vital for agriculture. This research develops a computer model to determine the water ...

Al momento de considerar el efecto de las cargas de viento en estructuras de poca altura “low-rise buildings” según el estándar del “American Society of Civil Engineers: Minimum Design Loads for Buildings and Other Structures” ...

Finite fields have many important applications in various fields, including signal processing, coding theory, cryptography and, more recently, in genetic network models. For this reason, a great deal of effort has gone ...

The time series analysis is oriented to the problem of prediction. Perform a univariate analysis is simpler than a multivariate analysis because the univariate analysis is concerned only with the structure of internal ...