Nicola Nobile

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—We propose a novel word spotting system for Urdu words within handwritten text lines. Spatial information of diacritics is integrated to the detection of the main connected components in candidate words generation. An Urdu word recognition system is effectively designed and applied to classify the candidate words. In this word recognition system, compound(More)
A new large Urdu handwriting database, which includes isolated digits, numeral strings with/without decimal points, five special symbols, 44 isolated characters, 57 Urdu words (mostly financial related), and Urdu dates in different patterns, was designed at Centre for Pattern Recognition and Machine Intelligence (CENPARMI). It is the first database for Urdu(More)
—Since the Urdu language has more isolated letters than Arabic and Farsi, a research on Urdu handwritten word is desired. This is a novel approach to use the compound features and a Support Vector Machine (SVM) in offline Urdu word recognition. Due to the cursive style in Urdu, a classification using a holistic approach is adapted efficiently. Compound(More)
Acknowledgements First of all, I would like to thank Prof. Alfio Quarteroni for having shared with me a piece of his infinite mathematical knowledge. His contribution does not limit to the mathematical level: I appreciated his patience and wisdom as well as his capacity to take the best out of me. I would like also to thank a lot Dr. Marco Discacciati for(More)
BACKGROUND Clostridium difficile infections (CDIs) caused by Clostridium difficile toxin A (TcdA) lead to severe ulceration, inflammation and bleeding of the colon, and are difficult to treat. AIM The study aimed to evaluate the effect of rifaximin on TcdA-induced apoptosis in intestinal epithelial cells and investigate the role of PXR in its mechanism of(More)