A neural network generating new MNIST images using an auto encoder trained on MNIST. Both a standard auto encoder is implemented, as well as a variational auto encoder. The MNIST data set is a large ...

Abstract: This paper proposes an absolute positioning method for distance encoding by fusing reference signals with incremental signals. Reference marks with extinction characteristics are embedded in ...

Abstract: Non-Intrusive Load Monitoring (NILM) is a promising approach for energy disaggregation, enabling the identification of appliance-specific energy consumption from aggregated electrical ...