Vous avez cherché: tooth extraction (Anglais - Tamoul)

tooth
பல்

blue tooth
புளூடூத்

tooth bleaching
பல் வெளுப்பாக்கம்

lead 2 - saw tooth
லீட் 2 - ஸா டூத்

& extraction into subfolder:
% 1ல் இருந்து கோப்புகளை பிரித்தெடு

i'm getting tooth ache
நான் அடுத்த மணமுடிக்கவுள்ளேன்

get the cavity in tooth filled
sothai pal adaikanum

ark could not open %1 for extraction.
பிரித்தப்பிறகு சேரும் அடைவை திற

then he fashioned his progeny of an extraction of mean water,
பிறகு (நழுவும்) அற்பத் துளியாகிய (இந்திரிய) சத்திலிருந்து, அவனுடைய சந்ததியை உண்டாக்கினான்.

there was an error while reading %1 during extraction.
name of translators

then he will return you into it and extract you [another] extraction.
"பின்னர் அந்த பூமியிலேயே உங்களை மீண்டும் சேர்த்து, மற்றொருமுறை உங்களை (அதிலிருந்து) வெளிப்படுத்துவான்.

free online englislaser welding is the important technique used in the automation industries to weld the steel products. speed of the laser welding has a possibility to change the position of the laser. large sized damages or defects can be identified by naked eye easily but in case of any small pores or cracks which may not be detected manually. manual defect detection is difficult for large scale industries. the main abstract of this project is to reduce the manpower in laser industry for identification of defect and to detect the minute defects of a laser products much faster and accurately. automatic defect detection using classifiers and segmentation techniques are implemented to reduce such risk factors in automation industries. feedforward neural network is the classifier used in existing method. fnn is a forward process. feedback will never occur in fnn, error correction can only done by using repeated feedback process. error rate is much larger in feedforward neural network, therefore performance accuracy is very less and background noise is more in the existing method, to overcome all these defect, probabilistic neural network (pnn) is used. pnn detects the defect of the laser welded steel product with the help of texture feature extraction and co-occurrence feature. pre-processing is the technique used to remove the noise present in the training image and in the output image. wavelet decomposition method is applied and the output is taken for the co-occurrence feature extraction. pnn classifier are used to detect the defects on the surface of the steel products and fuzzy c-means clustering is used to find the exact location of the defect in the surface of the steel products. all these processes is done by using image processing tool box of matlab software (matrix laboratory), or scilab (science laboratory). proposed method gives the better performance accuracy, low complexity and compatibility. h to tamil translation service
தமிழ் மொழிபெயர்ப்பு சேவை ஆங்கிலம் இலவச ஆன்லைன்