The blocking of river courses by mass movements is very common in mountainous areas
with deep and narrow valleys. Landslide dams may pose serious threats to people and their …

Parametric system identification, which is the process of uncovering the inherent dynamics
of a system based on the model built with the observed inputs and outputs data, has been …

Rolling-element bearing is one of the main parts of rotating equipment. In order to avoid the
mechanical equipment damage caused by the sudden failure of rolling-element bearings, it …

Electricity prices have rather complex features such as high volatility, high frequency,
nonlinearity, mean reversion and non-stationarity that make forecasting very difficult …

The ability to recognize and predict temporal sequences of sensory inputs is vital for survival
in natural environments. Based on many known properties of cortical neurons, hierarchical …

The estimation of moment and rotation in steel rack connections could be significantly
helpful parameters for designers and constructors in the initial designing and construction …

Abstract Anomaly based Intrusion Detection Systems (IDS) learn normal and anomalous
behavior by analyzing network traffic in various benchmark datasets. Common challenges …

Accurate prediction of groundwater level (GWL) fluctuations can play an important role in
water resources management. The aims of the research are to evaluate the performance of …

Streamflow prediction is a significant undertaking for water resources planning and
management. Accurate forecasting of streamflow always being a challenging task for the …

Abstract Evaluation of the parameters affecting the shear strength and ductility of steel–
concrete composite beam is the goal of this study. This study focuses on predicting the future …