Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in a ...

Aim: Discerning the relative role of geographical and ecological factors in promoting diversification is central to our understanding of the origin and maintenance of biodiversity. We explore the roles of geology and ...

A fuzzy set on a finite universe can be interpreted as a vector in a unit cube. This gives rise to a huge variety of approaches in order to aggregate finite fuzzy sets or to modify a given one. We analyze several geometrical ...

The general problem addressed in this work is the development of a systematic study of the thresholding greedy algorithm for general biorthogonal systems in quasi-Banach spaces from a functional-analytic point of view. If ...

This article presents an intelligent system for people with language learning disabilities called MarLuc. MarLuc aims to improve people’s skills in their native language rather than a second language. The system was born ...

Detecting change-points in multivariate settings is usually carried out by analyzing all marginals either independently, via univariate methods, or jointly, through multivariate approaches. The former discards any inherent ...

Despite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains limited due to difficulties in implementation and computational burden. These problems are ...

Los temas estéticos de la música son relevantes en la investigación de la educación musical, pero otros elementos vinculados a las ciencias sociales también desempeñan un papel central, como las relaciones entre compañeros ...

Development of hybrid pines of Pinus radiata D. Don for commercial forestry presents an opportunity to diversify the current resource of plant material. Climate change and different land uses pose challenges, making ...

The discrimination power of a hyperspectral imaging system for image segmentation or object detection is determined by the illumination, the camera spatial–spectral resolution, and both the pre-processing and analysis ...