Yi Chen

TL;DR: A controlled experiment is conducted to evaluate the ability of fuzzy clusters analysis to use four multi-dimensional visualization techniques, namely, parallel coordinate plot, scatterplot matrix, principal component analysis, and Radviz.

TL;DR: This paper proposes a signal clustering method to process radio signal data and a situation assessment model to obtain qualitative and quantitative descriptions of the electromagnetic situations and designs a two-module interface with a set of visualization views and interactions to help radio supervisors perceive and understand the electromagnetic situation by a joint analysis of radio signalData and radio spectrum data.

TL;DR: A process data analysis solution that integrates the technologies of situation awareness and visual analytics for the routine monitoring and troubleshooting of roller hearth kiln (RHK), a complex key manufacturing facility for lithium battery cathode materials is introduced.

TL;DR: Current graph simplification and interaction techniques, including graph filtering, node clustering, edge bundling, graph data dimension reduction, and topology-based graph transformation are described.

TL;DR: This work adopts a neural network-based object detection model to simultaneously localize and classify textual information to improve the efficiency of textual information extraction and designs an encoder-decoder framework that integrates convolutional and recurrent neural networks to extract numeric information.