Titlebook: Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOC; Emilio Corchado,Václav Snášel,Domini

起草

Validation of a Hyperspectral Content-Based Information Retrieval (RS-CBIR) System Upon Scarce Data. CBIR systems validation by means of precision/recall measures based on either user feedback or a-priori known categories, are hard to apply to RS-CBIR systems. We propose to apply a data-driven (unsupervised) quality assessment strategy analogous to the DAMA strategy applied for the validation of

激怒某人

种子

ARIAS: Automated Retinal Image Analysis Systemmain features of the fundus on digital color images. The recognized features were defined as blood vessels, optic disc, and fovea. An algorithm called 2D matched filters response has been proposed for the detection of blood vessels. Also, automatic recognition and localization methods for optic disc

成份

Contrast Enhancement of Breast MRI Images Based on Fuzzy Type-IIg to look specifically at the breast. Contrast-enhanced breast MRIs acquired by contrast injection have been shown to be very sensitive in the detection of breast cancer, but are also time-consuming and cause waste of medical resources. This paper utilizes the use of type-II fuzzy sets to enhance th

补助

Tree Generation Methods Comparison in GAP Problems with Low Quality Datahysteresis, among other undesirable uncertainty sources. Learning models using the so called Low Quality Data (LQD) is a difficult task which has been barely studied. In a previous study, a method for learning white box models in the presence of LQD that makes use of Multi Objective Simulated Anneal

四指套

Kidney-Failure

故意

Loop Strategies and Application of Rough Set Theory in Robot Soccer Gameto the strategy description in our work, there exists a problem of loop strategies. We present the concept of condition-decision relation matrix by which the loop strategies can be found. Together with rough set theory, we illustrate the creation process of consistent decision table and validate our

humectant

Blanch

A Predictive Control System for Concrete Plants. Application of RBF Neural Networks for Reduce Dosinncrete, the variables are dependent on several factors, some of them external, which require very precise estimation. To resolve this problem we use techniques based on artificial neural networks. Throughout this paper we describe an RBF (Radial Basis Function) neural network, designed and trained f