23 citations · 50 across the 11 of their papers we have counts for
4 papers · 1 filter
Discovering Operational Patterns Using Image-Based Convolutional Clustering and Composite Evaluation: A Case Study in Foundry Melting Processes
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
Industrial process monitoring increasingly relies on sensor-generated time-series data, yet the lack of labels, high variability, and operational noise make it difficult to extract…
Fuel Efficiency Analysis of the Public Transportation System Based on the Gaussian Mixture Model Clustering
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Ma
Public transportation is a major source of greenhouse gas emissions, highlighting the need to improve bus fuel efficiency. Clustering algorithms assist in analyzing fuel efficiency…
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
Zhipeng Ma, Marco Kemmerling, Daniel Buschmann +3
Causal inference is a fundamental research topic for discovering the cause-effect relationships in many disciplines. However, not all algorithms are equally well-suited for a given…
A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
Advanced machine learning algorithms are increasingly utilized to provide data-based prediction and decision-making support in Industry 4.0. However, the prediction accuracy achiev…