Abstract: The physics-informed neural network (PINN) has drawn much attention as it can reduce training data size and eliminate the need for physics equation identification. This paper presents the ...
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...
Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Abstract: The problem of learning a channel decoder is considered for two channel models. The first model is an additive noise channel whose noise distribution is unknown and nonparametric. The ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.