Natalia Isaenko

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Short-term traffic forecasting is driven by an increasing need of new services for user information and new systems for dynamic control. Our research focuses on reproducing anticipated traffic conditions by means of statistical methods traditionally applied in artificial intelligence problems. Although we strongly believe that the effects of specific(More)
The paper deals with the problem of minimizing reshuffling of containers in an inland intermodal terminal. The problem is tackled according to a simulation-optimization approach. A simulation model computes the operational costs of containers, related to storage and pick-up operations in an inland yard. The optimization is carried out by two genetic(More)
Clinical efficacy of Ronem preparation was studied in injured persons, suffering deep burns. High efficacy of the preparation in an acute period of the burn disease was established concerning the reduction in severity of the syndrome of systemic inflammatory answer clinical signs, the infection complications prophylaxis, microbal sensibilization lowering(More)
The clinical efficacy of the preparation reamberin in correction of metabolic hypoxia in patients with severe thermal burn injury under septicotoxemia was studied. It was established high efficacy of the preparation in the correction of the antioxidant defense system, its considerable antitoxic activity. Established role of reamberin in maintaining the(More)
The paper discusses the issues to face in applications of short-term traffic predictions on urban road networks and the opportunities provided by explicit and implicit models. Different specifications of Bayesian Networks and Artificial Neural Networks are applied for prediction of road link speed and are tested on a large floating car data set. Moreover,(More)
Massive datasets of Floating Car Data (FCD) are collected and thereafter processed to estimate and predict traffic conditions. In the framework of short-term traffic forecasting, machine learning techniques have become very popular. However, the big datasets available today contain for the most part easily predictable data, that are data observed during(More)
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