0000000000771178
AUTHOR
M Pisano
Development of prediction models for container traffic
The purpose of the work described in this paper is to construct and implement prediction models for optimizing container handling in particular at Cagliari’s Terminal Container. Prediction models are based on heuristic algorithms such as neural networks and classification and regression trees and evolutionary algorithms such as Genetic Algorithms (GA) and Ant Colony Optimization (ACO). These models form part of a Web Oriented Decision Support System, for real time external data acquisition (GPS information, weather information, etc.), providing operators with the information processed in real time. The most commonly used parameter for assessing terminal performance is productivity, namely t…
Correction to: Major adverse cardiovascular events in non-valvular atrial fibrillation with chronic obstructive pulmonary disease: the ARAPACIS study.
Correction to: Internal and Emergency Medicine (2018) 13:651–660 https://doi.org/10.1007/s11739-018-1835-9 In the original publication, one of the ARAPACIS collaborators Dr. “Leonardo Di Gennaro” name has been erroneously mentioned as “Leonardo De Gennaro”.