59 citations · 128 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…