Abstract: Analysis of the dependence between the main stream and its upper tributaries is important for hydraulic design, flood prevention, and risk control. The concept of total correlation, computed by the copula-entropy method, ...

Abstract: A new method for predicting daily whole-building electricity usage in a commercial building has been developed. This method utilizes a Principal Component Analysis (PCA) of intercorrelated influencing ...

Abstract: Flood events consist of flood peaks and flood volumes for various durations that are mutually correlated and need to be described by multiple variables. Conventional flood frequency analysis methods are generally based on ...

Abstract: Flood events consist of flood peaks and flood volumes that are mutually correlated and need to be described by multivariate analysis methods, of which the copula functions are most desirable. Until now, the multivariate ...

Abstract: Artificial neural networks (ANNs) have proved to be an efficient alternative to traditional methods for hydrological modeling. One of the most important steps in the ANN development is the determination of significant input ...

Abstract: Physical pressure sensors installed on a vehicle’s surface are the general way to find air data, such as true airspeed, attack angle, and sideslip angle. Under extreme flight conditions, failure of pressure measurements ...

Abstract: Analyzing the influencing factors in expressway traffic crashes is an important aspect of traffic safety analysis. This study examines detailed data from 217 crashes that took place from 2015 to 2016 on the Shaoyang–Xinhuang ...

Abstract: Droughts produce a complex set of negative economic, environmental, and social impacts from regional to national scales. The drought impact can be quantified using drought index time series. This study uses the monthly ...