Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...
Abstract: Coverage of points of interest (PoIs) is essential for wireless sensor networks (WSNs) to achieve situation awareness and data collection. In some application scenarios, PoIs are unnecessary ...
Abstract: Markov chain Monte Carlo (MCMC) methods are a cornerstone of Bayesian inference and stochastic simulation. The Metropolis-adjusted Langevin algorithm (MALA) is an MCMC method that relies on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results