Abstract: A communications device inputs channel state information to an artificial neural network. The communications device predicts weather conditions with the artificial neural network based on the channel state information. The communications device further adjusts communications based on the predicted weather conditions.

Abstract: Systems, methods, and computer readable media related to providing intraoperative video review are disclosed. They involve receiving a plurality of video frames from a surgical video of an ongoing surgical procedure. Stored data based on prior surgical procedures may be accessed and at least one expected future event in the ongoing surgical procedure may be predicted based on the plurality of video frames and the stored data. At least one option to review at least one surgical video clip associated with the expected future event in the surgical procedure may be generated. A data structure containing the at least one surgical video clip may be accessed and the at least one surgical video clip associated with the expected future event may be outputted for intra-surgical presentation.

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive, from a network entity, a request to report one or more frequency corrections, the request including an indication of one or more reporting parameters for the one or more frequency corrections. The network entity may transmit a set of one or more reference signals associated with performing the one or more frequency corrections at the UE. The UE may monitor for the set of one or more reference signals and transmit, to the network entity, a report indicating the one or more frequency corrections in accordance with the one or more reporting parameters. The UE may transmit the report according to a periodicity, according to a trigger, or both indicated in the one or more reporting parameters. The network entity may perform channel estimations based on the report indicating the one or more frequency corrections.

Abstract: A product recommendation system and method identify product characteristics from customer reviews using a semantic analysis of the product review text. The semantic analysis identifies negative sentiment keywords associated with one or more product characteristics in the customer review and assigns each negative sentiment keyword a value. The value of each identified negative sentiment keywords is then used to calculate a score for the product characteristic to which the negative sentiment keyword is correlated. A product recommendation report comprising the identified products, their product characteristics, a list of scored product reviews, or a combination thereof is then presented to the end user.