Bone age is an important measure for assessing the skeletal and biological maturity of children. Delayed or increased bone a serious concern pediatricians, needs to be accurately assessed in bid determine whether occurring at rate consistent with chronological age. In this paper, we introduce unified deep learning framework assessment using instance segmentation ridge regression. The proposed a...

In this study, the Artificial Neural Network (ANN) approach was applied to OLS-Bisector technique, which is one of Type II Regression techniques, through study. order measure performance newly created ANN-Bisector it compared with technique. First all, literature information on ANN and techniques given, features two are mentioned. line information, a comparison made between OLS based bisector t...

early recognition of developmental disorders is an important goal, and equally important is avoiding misdiagnosing a disorder in a healthy child without pathology. the aim of the present study was to develop an artificial neural network using perinatal information to predict developmental disorder at infancy. a total of 1,232 mother-child dyads were recruited from 6,150 in the original data of ...

Deterioration models are important and essential part of any Pavement Management System (PMS). These models are used to predict future pavement situation based on existence condition, parameters causing deterioration and implications of various maintenance and rehabilitation policies on pavement. The majority of these models are based on roughness which is one of the most important indices in p...

The process of bid/no-bid decision-making is su bjected to uncertainty and influence of complex criteria. This paper proposed an application of the integration of rough sets (RS) and improved general regression neural network (GRNN) based on niche particle swarm optimization (NPSO) algorithm for tendering decision making. The decision table of RS and the attribution reduction was processed by M...