3 days ago · This research presents a comprehensive machine learning approach to predicting the duration of traffic incidents, classifying them as short-term or ...

4 days ago · An ordered-constrained Apriori-RF method is proposed for predicting the hazard degree levels of metro operation accidents. •. The actual metro operation ...

Jun 11, 2024 · Association analysis of aircraft accident causation involves deriving probabilities of event types based on historical event causes after learning and training ...

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Jun 21, 2024 · It examines 191 studies from the last five years, focusing on predicting accident risk, frequency, severity, duration, as well as general statistical analysis ...

Jun 26, 2024 · In this paper, we apply a set of data-mining and sequential deep learning techniques to accident investigation reports published by the National ...

8 hours ago · One approach is to use classification analysis and data mining techniques to build a predicting model. This involves collecting and analyzing large amounts ...

Jun 21, 2024 · Abstract. Analyzing and predicting crime involves a methodical process of identifying criminal activities. System capable.

Jun 12, 2024 · This study proposes analytical tools to predict maritime accidents involving dangerous goods to help improve maritime safety and preserve maritime and coas.

Jun 11, 2024 · It is used to extract useful information from large datasets and predict future outcomes. The goal is often predictive analysis to forecast behaviors.