Prediction of AR marker's position: A case of study using regression analysis with Machine Learning method

The first method is based on color and texture features extraction, followed by a selection of the most effective features, and classification with a hybrid of artificial

The general objective of this doctoral thesis can be summarized in the study, implementation and validation of a set of techniques aimed at the automa- tion of the radiographic

We propose to model the software system in a pragmatic way using as a design technique the well-known design patterns; from these models, the corresponding formal per- formance

The objective of this paper is to propose a new methodology based on the most successful ideas of the state of the art, and proposing a new method using ANN for potato

Using new technologies, such as computer vision and artificial intelligence for segmentation algorithms and augmented and virtual reality for visualization

This project aims to develop, using traditional methodology as well as target-guided synthesis (dynamic combinatorial approach using synthesis of imines), a series of metal

first, a mathematical optimization formulation for the estimation of non-negative P-splines is proposed; second, previous results are generalized to the out-of-range prediction

We have then examined the performance of an approach for gene selection using random forest, and compared it to alternative approaches. Our results, using both simulated and