Side-scan sonar (SSS) images are difficult for automatic analysis due to the acoustic measurement parameters as well number of different objects that can be distant. In addition, there is a risk seabed application may attacked. For this purpose, we propose solution based on convolutional neural networks with bilinear pooling in order achieve higher values classification accuracy. Bilinear merge...

This paper studies the effects of resource pooling on system performance in the presence of failures. The goal is to understand whether pooling increases efficiency and/or reduces risk. We consider four queueing systems with different degrees of pooling (one has no pooling, one has only queues pooled, one has queues and failures pooled, and one has servers pooled), estimate efficiency via the m...

BACKGROUND The availability of annotated corpora has facilitated the application of machine learning algorithms to concept extraction from clinical notes. However, high expenditure and labor are required for creating the annotations. A potential alternative is to reuse existing corpora from other institutions by pooling with local corpora, for training machine taggers. In this paper we have inv...

Reform of drug procurement is being extensively implemented and expanded in China, especially in today's big data environment. However, the pattern of supply mode innovation lags behind procurement improvement. Problems in financial strain and supply break frequently occur, which affect the stability of drug supply. Drug Pooling System is proposed and applied in a few pilot cities to resolve th...

A pooling space is a ranked poset P such that the subposet w+ induced by the elements above w is atomic for each element w of P . Pooling spaces were introduced in [Discrete Mathematics 282:163-169, 2004] for the purpose of giving a uniform way to construct pooling designs, which have applications to the screening of DNA sequences. Many examples of pooling spaces were given in that paper. In th...

BACKGROUND: The "integrated safety report" of the drug registration files submitted to health authorities usually summarizes the rates of adverse events observed for a new drug, placebo or active control drugs by pooling the safety data across the trials. Pooling consists of adding the numbers of events observed in a given treatment group across the trials and dividing the results by the total ...