Vortex Feature Positioning: Bridging Tabular IIoT Data and Image-Based Deep Learning

arXiv:2303.09068v2 Announce Type: replace-cross
Abstract: Tabular data from IIoT devices are typically analyzed using decision tree-based machine learning techniques, which struggle with high-dimensional and numeric data. To overcome these limitations, techniques converting tabular data into images have been developed, leveraging the strengths of image-based deep learning approaches such as Convolutional Neural Networks. These methods cluster similar features into distinct image areas with fixed sizes, regardless of the number of features, resembling actual photographs. However, this increases the possibility of overfitting, …

abstract arxiv cs.cv cs.lg data decision deep learning devices eess.iv feature iiot image images limitations machine machine learning machine learning techniques replace struggle tabular tabular data tree type