Abstract: Using Kalman techniques, it is possible to perform optimal estimation in linear Gaussian state-space models. When the Gaussian assumptions are inadequate, the Kalman-type filters fail to be ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

Decades before they would be lionized by the rise of glycobiology and demonized by the Atkins diet, carbohydrates were quietly doing wonders for biological research. In 1955, Oliver Smithies published ...

Abstract: Convolution is considered as the core operation in any Convolutional Neural Network (CNN) model. However, these operations are computationally intensive and have higher latency. This problem ...