Abstract

As legacy toxicogenomics databases have become available, improved data mining approaches are now key to extracting and visualizing subtle relationships between toxicants and gene expression. In the present study, a novel “aggregating bundles of clusters” (ABC) procedure was applied [...]

Abstract

The load flow is of great importance in assisting the process of decision making and planning of generation, distribution and transmission of electricity. Ignorance of the values in this indicator, as well as their inappropriate prediction, difficult decision making and efficiency [...]

Abstract

Navigating through densely populated urban areas is one of the most important challenges for self-driving vehicles. Accurate predictions are required to enable safe and efficient interactions with other road users. Pedestrians in particular pose major problems for current state of [...]

Abstract

Nowadays, huge efforts are made to modernize the air traffic management systems to cope with uncertainty, complexity and sub-optimality. An answer is to enhance the information sharing between the stakeholders. This paper introduces a framework that bridges the gap between air traffic [...]

Abstract

urate and reliable forecasting of traffic variables is one of the primary functions of Intelligent Transportation Systems. Reliable systems that are able to forecast traffic conditions accurately, multiple time steps into the future, are required for advanced traveller information [...]

Abstract

This study was designed to present an online model which predicted travel times on an interurban two-lane two-way highway section on the basis of field measurements. "br/"The study included two parts: an evaluation of the performance of the model, and an examination of the possibility [...]

Abstract

The article discusses the issues of improving the collection of traffic information using video cameras and the statistical processing of collected data. The aim of the article was to identify the main patterns of traffic at intersections in traffic congestion and to develop an analysis [...]

Abstract

In this work, we present a multi-fidelity machine learning surrogate model, which predicts comfort-related flow parameters in a ventilated room with a heated floor. The model uses coarseand fine-grid CFD data obtained using LES turbulence models. The dataset is created by changing [...]

Abstract

El objetivo fue determinar la capacidad del índice circunferencia abdominal – talla para predecir dos o más alteraciones clínico-metabólicas, según sitio de medición de circunferencia abdominal. Se hizo un estudio observacional analítico [...]

Abstract

Much of earlier work on predictive models for accidents has been focused on rural traffic or urban intersections. This work has aimed at identifying and investigating possible improvements to predictive models for accidents on urban links. A special focus has been on the accidents [...]