To realize this aim we forward a Bayesian non-parametric Dirichlet Process (DP) decision-making approach for real-time monitoring of UPM process using the data gathered from multiple, heterogeneous ...

Machine learning algorithms can help automate and improve the process of land cover mapping from remote sensing data, such as satellite or aerial images. However, how do you know if the maps ...

Abstract: A novel low-cost, surface relief mapping capable mobile robot for the purpose of space exploration and mapping is developed and presented. With the help of machine learning post-processing .

Machine vision has ... accuracy and reliability: Data overload and processing efficiency that limits throughput are major issues as industries move towards more advanced, faster automation, tasking ...