Abstract: Activation functions are essential components in any neural network model; they play a crucial role in determining the network’s expressive power through their introduced non-linearity.

Abstract: Stochastic computing (SC) has been applied on the implementations of complex arithmetic functions. Complicated polynomial-based approximations lead to large hardware complexity of previous ...

The main objective of this study is to evaluate the hanging wall stability of the mining stopes resulting from the open stope underground mining method, taking into account the exposure time of the ...