Marco Mancuso

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The aim of this report was to evaluate the incidence of Type 1 diabetes mellitus (T1DM) in the district of Catania (eastern Sicily) in children under 15 yr of age over a ten-yr period (01/01/1989 - 31/12/1998) in relation to age, sex, monthly-seasonal variability, calendar yr and spatial clustering. The estimated completeness of our register was 99.2%. The(More)
Reconstruction techniques exploit a first building process using Low-resolution (LR) images to obtain a "draft" High Resolution (HR) image and then update the estimated HR by back-projection error reduction. This paper presents different HR draft image construction techniques and shows methods providing the best solution in terms of final perceived/measured(More)
This paper introduces a method for the automatic discrimination of digital images based on their semantic content. The proposed system allows to detect if a digital image contains or not a text. This is realized by a multi-steps procedure based on low-level features set properly derived. Our experiments show that the proposed algorithm is competitive in(More)
The aim of this study was to investigate the presence of mitochondrial DNA (mtDNA) alterations and metabolic dysfunctions in patients with presbyacusis, and to discover correlations between presbyacusis and the degree of hearing loss and mitochondrial damage. Seventy patients with presbyacusis were examined, including 40 Egyptian patients and 30 Italian(More)
 TCP was designed to cope with packet loss due to congestion. Thus, it performs poorly in lossy environments, such as heterogeneous networks including wireless links. Standard TCP is unable to differentiate loss due to packet corruption from that due to network congestion. In this paper, a sender-side method of end-to-end loss differentiation and adaptive(More)
This paper introduces a method for the automatic discrimination of digital images based on their semantic content. The proposed system allows to detect if a digital image contains or not a text document. This is realized by a multi-steps procedure based on low-level feature’s set properly derived. Our experiments show that the proposed algorithm is(More)
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