The article considers the business processes at transport logistics enterprises as 
 a chain of clear regulations, where noncompliance or delay one them results in disruption whole process. Risk management is key tasks requiring development modeling tools and prevention undesirable situations. There has been shown structural model risk failure to achieve strategic goal cargo port, suppleme...

Before each division, eukaryotic cells face the daunting task of completely and accurately replicating a heterogeneous, chromatinized genome and repackaging both resulting daughters. Because replication requires strand separation, interactions between the DNA and its many associated proteins--including histones--must be transiently broken to allow the passage of the replication fork. Here, we w...

This study associates graph theory and a multi-criteria decision aid technique, presenting different process for doing the investigation of criminal networks. In subject, privacy concerns limit identification. For this reason, database composed 110 actors, involving criminals peripheral characters to network, was identified by numbers, without names penalties. The discrimination critical actors...

introduction: codling moth, cydia pomonella is one of the key pests of apple in khorasan razavi province which annually causes severe fruit damage to apple crop. there are several ways that are used to control and prevent injury to apple products in the world. the most successful and widespread use of pheromones has been in monitoring traps. mating disruption method by pheromones takes place wh...

Probabilistic-based methods have been used for designing noise tolerant circuits recently. In these methods, however, there is not any reliability mechanism that is essential for nanometer digital VLSI circuits. In this paper, we propose a novel method for designing reliable probabilistic-based logic gates. The advantage of the proposed method in comparison with previous probabilistic-based met...

A cross media analysis scheme for the semantic interpretation of compound documents is presented. The proposed scheme is essentially a late-fusion mechanism that operates on top of single-media extractors output. Evidence extracted from heterogeneous sources are used to trigger probabilistic inference on a bayesian network that encodes domain knowledge and quantifies causality. Experiments perf...

We advance the state-of-the-art for discriminatively trained machine translation systems by presenting novel probabilistic inference and search methods for synchronous grammars. By approximating the intractable space of all candidate translations produced by intersecting an ngram language model with a synchronous grammar, we are able to train and decode models incorporating millions of sparse, ...

We present MeSSyCo, a multi-agent system that integrates and coordinates heterogeneous medical services. Agents in MeSSyCo may perform different tasks such as diagnosis and intelligent resource allocation and coordinate themselves through an infrastructure based on a combination of abductive and probabilistic reasoning. In this way a set of specialized medical service providers could be aggrega...