![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
The Dynamic Process and Sensitivity Analysis for Debris Flow
The dynamic process and sensitivity in the debris transportation process are important topics in the study of rapid landslides and debris flows. The motion process of debris flow is recognised as a dynamic int...
-
Chapter and Conference Paper
Combining Iterative Inverse Filter with Shock Filter for Baggage Inspection Image Deblurring
In this paper, we describe an image deblurring algorithm for images generated by the baggage inspection system. Baggage inspection images have low-extent blurring, large intensity dependent noise and need line...
-
Chapter and Conference Paper
Total Variation Based Iterative Image Reconstruction
Image reconstruction is an active research field and plays an important role in many applications . In this paper, we propose a new approach. Firstly, we introduce the minimum total variation (TV) criterion in...
-
Chapter and Conference Paper
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data
In this paper expanded Bayesian network method for short-term traffic flow forecasting in case of incomplete data is proposed. Expanded Bayesian network model is constructed to describe the causal relationship...
-
Chapter and Conference Paper
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data
Traffic flow forecasting is an important issue in the field of Intelligent Transportation Systems. Due to practical limitations, traffic flows recorded can be partially missing or unavailable. In this case few...