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Showing 1 to 2 of 2 for “"CEEMDAN"”.
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Time series forecasting with recurrent neural networks
… different feature engineering methods such as CEEMDAN are also tools employed in the literature to improve prediction accuracy. In this paper, we will introduce different models and methods of handling time series and will conduct a comparative case study using the S$\&$P500 index to compare …
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Machine Learning-Driven Corrosion Detection and Classification in Pipelines
… Mode Decomposition with Adaptive Noise (CEEMDAN) and Bhattacharyya Variance Distance (BVD) algorithms to enhance signal quality. Key features indicative of pipeline condition were extracted and subjected to clustering analysis using the K-means algorithm, categorizing the data into …