⎯ Quality control in ceramic tile manufacturing is hard, labor intensive and it is performed in a harsh industrial environment with noise, extreme temperature and humidity. It can be divided into color analysis, dimension verification, and surface defect detection, which is the main purpose of our work. Defects detection is still based on the judgment of human operators while most of the other ...

We explore the application of memorybased learning to morphological analysis and part-of-speech tagging of written Arabic, based on data from the Arabic Treebank. Morphological analysis – the construction of all possible analyses of isolated unvoweled wordforms – is performed as a letter-by-letter operation prediction task, where the operation encodes segmentation, part-of-speech, character cha...

We explore the application of memorybased learning to morphological analysis and part-of-speech tagging of written Arabic, based on data from the Arabic Treebank. Morphological analysis – the construction of all possible analyses of isolated unvoweled wordforms – is performed as a letter-by-letter operation prediction task, where the operation encodes segmentation, part-of-speech, character cha...

In present time, in medical line there are many techniques have been researched for detect the TUMOR from human brain (medical image). Many techniques are available, Brain cancer detection in magnetic resonance images (MRI) is important in medical diagnosis because it provides information associated to anatomical structures as well as potential abnormal tissues necessary to treatment planning a...

Fingerprint recognition is basic method used for identification in biometric system. Now days as collections of fingerprints is increasing day by day then the technique also available in market to face problems. There are many techniques available that are used for recognition of fingerprints. There are some kinds of restrictions on degree of freedom with some unacceptable error rates. In this ...

The theory of artificial neural networks has been successfully applied to a wide variety of pattern recognition problems. In this theory, the first step in computing the next state of a neuron or in performing the next layer neural network computation involves the linear operation of multiplying neural values by their synaptic strengths and adding the results. Thresholding usually follows the l...