Abstract: Example embodiments provide improved spatial beam predictions based on multiple assistance information parameters. An apparatus may be configured to configure a plurality of subspaces and corresponding machine learning models based on a dataset comprising multiple assistance information parameters, select a subset of the subspaces for inference by the machine learning models based on available assistance information, and determine a preferred spatial beam prediction based on the inferences. Apparatuses, methods, and computer programs are disclosed.

Abstract: An apparatus and method for recovering metal from a solution comprising a metal-selective sorbent disposed in a column. Additional embodiments provide for using a metal-selective membrane configured for selective transport, isolation, retention, and recovery of metal ions and compounds; electrodialysis and forward osmosis apparatuses to recover metal from a solution. A modular system to process a solution at a remote field site is disclosed. The process is a green process and produces limited to no industrial waste.