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6 hours ago · This research presents a comprehensive approach to predicting the duration of traffic incidents and classifying them as short-term or long-term across the ...
18 hours ago · The best method for 5 days horizon forecasting classification is Long-Short Term Memory Artificial Neural Networks (LSTM) based on the sensitivity analysis ...
24 hours ago · To develop a PdM method based on relationships between industrial components, we propose an approach with appli- cation to C-MAPSS aircraft engines as follows: ...
21 hours ago · The NLP-based text mining technique is defined as the process of extracting information from unstructured textual data to generate feature representations for ...
23 hours ago · PDF | This research introduces a novel method for forecasting cardiovascular diseases using an advanced combination of K-means++ clustering, Principal.
16 hours ago · Utilizing six specialized machine learning models to improve SEP event prediction accuracy through time series analysis ... data mining and training of artificial ...
19 hours ago · Be more agile, solve complex processes, and progress on your journey to sustainability and profitability. Symmetry™ process simulation software helps users ...
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23 hours ago · We developed a deep learning model to predict 1-year mortality using nationwide longitudinal data from the Finnish population (FinRegistry; n = 5.4 million), ...
21 hours ago · This foundational procedure is integral for estimating the on-orbit operational status of space targets, cataloging space objects, and conducting analyses ...