where the output is not from a fixed vocabulary, but a sequence of pointers to elements from the input. Main idea: Instead of producing an output token from a fixed-size vocabulary, the model points ...

Abstract: In recent years, Deep Neural Networks (DNN) have been employed in different types of fields for recognizing, classifying, detecting and sorting, etc. Thus, optimizing the DNN is very ...

ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...

The stability of the surrounding rock in the goaf of the mine is poor, which can easily cause collapse disasters in the mining area. This paper used orthogonal experiments and multi factor ...

In recent years, due to rapid fossil fuel depletion (Peng et al., 2020), booming global energy demand (Shangguan et al., 2020a), and a series of severe eco-environmental problems (Yang et al., 2015), ...

Abstract: A flexible neural network adaptive controller based on particle swarm optimization algorithm is proposed for the trajectory tracking control of manipulator robots with model errors and ...

Drainage Research Institute, National Water Research Center, Cairo, Egypt. Faculty of Engineering Mataria, Helwan University, Cairo, Egypt. Faculty of Engineering ...