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On Learning Discrete-Time Fractional-Order Dynamical Systems
Online Edge Flow Imputation on Networks
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
Temporal Network Prediction and Interpretation
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes
An Automated Detection Framework for Multiple Highway Bottleneck Activations
Characterization and hydrological analysis of the guarumales deep-seated landslide in the tropical ecuadorian andes
MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors
Applications of passive microwave data to monitor inundated areas and model stream flow
Fractality of pulsatile flow in speckle images
A time-series analysis framework for the flood-wave method to estimate groundwater model parameters
Gyro noise measurement and analysis
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