Grey-scale ultrasound is a useful investigation in selected patients with a painful swollen leg. It is of particular value in cases in which there is a clinical suspicion of deep vein thrombosis (DVT) but other features, such as an atypical history or equivocal radiology, suggest alternative pathology. Five such cases are presented in which ultrasound showed transonic lesions. The cause of the ...

The key element in a Deep Web information fusion system is the data source modeling problem, which is the determinant technical factor of the whole system. The query interfaces provided by the Deep Web are the clues to disclose the hidden schemas. But the complicated semantic relationships in the query interfaces lead to the lower generality and ability of local as view (LAV) method in the trad...

As the Deep web (or Hidden web) information is hidden behind the search query forms, this information can only be accessed by interacting with these forms. Therefore, development of automated system that interacts with the search forms and extracts the hidden web pages would be of great value to human users. To accomplish this task stated above, this paper proposes a novel method “Deep Webpage ...

The Deep Web is the large corpus of data accessible on the Web through forms and presented in dynamically-generated pages, but not indexable as static pages, and therefore invisible to search engines. Deep Web data are usually modelled as relations with so-called access limitations, that is, they can be queried only by selecting certain attributes. In this paper we give some fundamental complex...

This work focuses on reliable detection and segmentation of bird vocalizations as recorded in the open field. Acoustic detection of avian sounds can be used for the automatized monitoring of multiple bird taxa and querying in long-term recordings for species of interest. These tasks are tackled in this work, by suggesting two approaches: A) First, DenseNets are applied to weekly labeled data to...

This paper introduces Deep Incremental Boosting, a new technique derived from AdaBoost, specifically adapted to work with Deep Learning methods, that reduces the required training time and improves generalisation. We draw inspiration from Transfer of Learning approaches to reduce the start-up time to training each incremental Ensemble member. We show a set of experiments that outlines some prel...

The effects on sugarcane yields of deep tillage for land preparation on five different soil types in the coast lowlands of Natal are presented. Yields from the. rainfed plant and first ratoon crops indicate that, in general, there is little advantage in ploughing or subsoiling to depths greater than the conventional 20-25 cm. The only worthwhile response to deep tillage was obtained in a recent...

In this paper, we build an organization of high-dimensional datasets that cannot be cleanly embedded into a low-dimensional representation due to missing entries and a subset of the features being irrelevant to modeling functions of interest. Our algorithm begins by defining coarse neighborhoods of the points and defining an expected empirical function value on these neighborhoods. We then gene...

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