New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
Abstract: HotStuff is a pipelined Byzantine Fault Tolerance (BFT) algorithm that has the good properties of both linear communication complexity and optimistic responsiveness. However, its three-chain ...
Abstract: The model free deadbeat predictive current control (MFDPCC) for linear permanent magnet synchronous motor (LPMSM) drive system is emerging as a promising method due to its straightforward ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results