Abstract: A device may receive network congestion data associated with a network providing a network slice to a user device and that includes data identifying a number of users, an average throughput, a latency, and one or more key performance indicators associated with the network. The device may receive media data associated with the user device and may receive weather data associated with the user device. The device may process the number of users, the average throughput, the latency, and the one or more key performance indicators, with a deep learning model, to generate a congestion decision for the network. The device may selectively activate a new network slice for the user device based on the congestion decision indicating congestion in the network, or may maintain the network slice for the user device based on the congestion decision indicating no congestion in the network.

Abstract: In an example method, a grafting solution is applied to a patterned substrate using a liquid-phase thin-film deposition technique. The patterned substrate includes a lane surrounded by, or a plurality of depressions separated by interstitial regions; and a polymer in the lane or in each of the plurality of depressions. The polymer is functionalized with a first click reaction moiety. The grafting solution includes a solvent; a polymer matrix material dissolved in the solvent; and primers of a primer set dissolved in the solvent, each of the primers being terminated with a second click reaction moiety. The applied grafting solution is dried. During drying, a solid polymer matrix is formed and at least some of the primers attach to the polymer i) via the first and second click reaction moieties and ii) in at least a portion of the lane or in at least some of the plurality of depressions.