This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
The simulation of large systems of biochemical reactions is a key part of research into molecular signaling and information processing in biological cells. However, it can be impr...
Late CMOS scaling reduces device reliability, and existing work has studied the permanent SER (soft error rate) for configuration memory in FPGA extensively. In this paper, we sh...
Discrete wavelet transformations (DWT) followed by embedded zerotree encoding is a very efficient technique for image compression [2, 5, 4]. However, the algorithms proposed in l...
A macroscopic two-fluid model of compressible particle-laden gas flows is considered. The governing equations are discretized by a high-resolution finite element method based on a...