23 citations · 50 across the 11 of their papers we have counts for
6 papers · 1 filter
Multi-Agent Multimodal Large Language Model Framework for Automated Interpretation of Fuel Efficiency Analytics in Public Transportation
Zhipeng Ma, Ali Rida Bahja, Andreas Burgdorf +4
Enhancing fuel efficiency in public transportation requires the integration of complex multimodal data into interpretable, decision-relevant insights. However, traditional analytic…
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…
Uncovering Causal Drivers of Energy Efficiency for Industrial Process in Foundry via Time-Series Causal Inference
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
Improving energy efficiency in industrial foundry processes is a critical challenge, as these operations are highly energy-intensive and marked by complex interdependencies among p…
Rethinking Traffic Flow Forecasting: From Transition to Generatation
Li Shijiao, Ma Zhipeng, He Huajun +1
Traffic flow prediction plays an important role in Intelligent Transportation Systems in traffic management and urban planning. There have been extensive successful works in this a…
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…
DataPro -- A Standardized Data Understanding and Processing Procedure: A Case Study of an Eco-Driving Project
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
A systematic pipeline for data processing and knowledge discovery is essential to extracting knowledge from big data and making recommendations for operational decision-making. The…