Low density and dielectric constant along with low viscosity and high diffusivity make
supercritical water (SCW) an admirable reaction medium for some technologies, such as …

Accurate measurements of available water resources play a key role in achieving a
sustainable environment of a society. Precise river flow estimation is an essential task for …

Flame image recognition is of great significance in the fire detection and prevention. In this
paper, in order to improve the accuracy of fire recognition, a fast stochastic configuration …

Tieguanyin tea plant is the most important tea cultivar in Fujian Province, China. It has
suffered great economic losses due to high temperature and dry weather in recently years …

Vaporization properties are important for equipment modeling and process control involving
liquid-vapor equilibrium. The aim of this work was to obtain an Artificial Neural Network …

This study performed modeling of the scattering (S) and noise (N) parameters of the
ATF53189 using the General Regression Neural Network (GRNN) and Multi Layer …

Railway track circuit failures can cause significant train delays and economic losses. A
crucial point of the railway operation system is the corrective maintenance process. During …

İstatiksel birçok yöntem eksik değerlere sahip veri setleri üzerinde çalışma kapasitesine
sahip değildir. Bu nedenle, girdi olarak yalnızca tam veriyi kabul eden modellerin tahmin …

In order to improve the accuracy and efficiency of subway project task man-hours prediction,
a generalized regression neural network (GRNN) prediction model based on the improved …

The complex interaction between soil and TBM cutters makes it hard to estimate the cutter
wear precisely and reliably, especially for the composite strata (inhomogeneous geology). In …