59 citations · 128 across the 11 of their papers we have counts for
12 papers
little m: An AI Agent for Industrial Process Optimization
Yongchao Ye, Xinyu He, Dutliff Boshoff +2
Manufacturing consumes one third of global energy and still has significant room for improvement in terms of energy efficiency. Optimal process control is essential for this purpos…
Integrated Prediction and Distributionally Robust Optimization for Air Traffic Management
Haochen Wu, Xinting Zhu, Lishuai Li +1
Strategic Traffic Management Initiatives (TMIs) such as Ground Delay Programs (GDPs) play a crucial role in mitigating operational costs associated with air traffic demand-capacity…
Use ADAS Data to Predict Near-Miss Events: A Group-Based Zero-Inflated Poisson Approach
Xinbo Zhang, Montserrat Guillen, Lishuai Li +2
Driving behavior big data leverages multi-sensor telematics to understand how people drive and powers applications such as risk evaluation, insurance pricing, and targeted interven…
Learning Satellite Pattern-of-Life Identification: A Diffusion-based Approach
Yongchao Ye, Xinting Zhu, Xuejin Shen +3
As Earth's orbital satellite population grows exponentially, effective space situational awareness becomes critical for collision prevention and sustainable operations. Current app…
Distributionally Robust Ground Delay Programs with Learning-Driven Airport Capacity Predictions
Haochen Wu, Xinting Zhu, Shuchang Li +3
Strategic Traffic Management Initiatives (TMIs) such as Ground Delay Programs (GDPs) play a crucial role in mitigating operational costs associated with demand-capacity imbalances.…
Remaining Useful Life Modelling with an Escalator Health Condition Analytic System
Inez M. Zwetsloot, Yu Lin, Jiaqi Qiu +5
The refurbishment of an escalator is usually linked with its design life as recommended by the manufacturer. However, the actual useful life of an escalator should be determined by…
A Route Network Planning Method for Urban Air Delivery
Xinyu He, Fang He, Lishuai Li +2
High-tech giants and start-ups are investing in drone technologies to provide urban air delivery service, which is expected to solve the last-mile problem and mitigate road traffic…
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
Yuxin He, Lishuai Li, Xinting Zhu +1
Short-term forecasting of passenger flow is critical for transit management and crowd regulation. Spatial dependencies, temporal dependencies, inter-station correlations driven by…
Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network
Xinyu He, Fang He, Xinting Zhu +1
Accurate aircraft-mass estimation is critical to airlines from the safety-management and performance-optimization viewpoints. Overloading an aircraft with passengers and baggage mi…
From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion
Yu Lin, Lishuai Li, Pan Ren +2
En-route congestion causes delays in air traffic networks and will become more prominent as air traffic demand will continue to increase yet airspace volume cannot grow. However, m…
An Incremental Clustering Method for Anomaly Detection in Flight Data
Weizun Zhao, Lishuai Li, Sameer Alam +1
Safety is a top priority for civil aviation. New anomaly detection methods, primarily clustering methods, have been developed to monitor pilot operations and detect any risks from…
Flight Time Prediction for Fuel Loading Decisions with a Deep Learning Approach
Xinting Zhu, Lishuai Li
Under increasing economic and environmental pressure, airlines are constantly seeking new technologies and optimizing flight operations to reduce fuel consumption. However, the cur…