Now showing items 21-30 of 11223
Influence of the green-machining parameters on the mechanical properties of alumina rods
Green and white machining has being extensively employed in compact blanks to obtain a pre-form prior to the sintering of advanced ceramics. Both machining processes involve low-energy consumption and high material removal ...
Preliminary diagnosis of ophtalmological diseases through machine learning techniques
Although one can find several patents addressing surgery procedures to tackle ophthalmological diseases, it is very unusual to find other ones that apply machine learning techniques to automatically identify them. In this ...
Paraconsistent Machines and their Relation to Quantum Computing
(Oxford Univ PressOxfordInglaterra, 2010)
UNORGANIZED MACHINES FOR SEASONAL STREAMFLOW SERIES FORECASTING
(World Scientific Publ Co Pte LtdSingaporeSingapura, 2014)
On the training algorithms for Restricted Boltzmann Machine-Based Models
(Universidade Federal de São CarlosUFSCarPrograma de Pós-graduação em Ciência da ComputaçãoCâmpus São Carlos, 2018-12-05)
Deep learning techniques have been studied extensively in the last years, due to its good results related to essential tasks on a large range of applications, such as speech and face recognition, as well as objects ...
Learning kernels for support vector machines with polynomial powers of sigmoid
In the pattern recognition research field, Support Vector Machines (SVM) have been an effectiveness tool for classification purposes, being successively employed in many applications. The SVM input data is transformed into ...
Parkinson’s disease identification using restricted Boltzmann machines
Currently, Parkinson’s Disease (PD) has no cure or accurate diagnosis, reaching approximately 60,000 new cases yearly and worldwide, being more often in the elderly population. Its main symptoms can not be easily uncorrelated ...