Abstract: A generator model initially receives seed data for a telecommunications network. Using the seed data, the generator model generates, in one or more simulations cycles, synthetic data. A discriminator model, trained to classify the synthetic data, communicates the classified data to the generator to update the generator model. An evaluator evaluates the synthetic data that has been combined with the seed data using evaluation metrics. In various aspects, the generator model: extracts semantic information from text embeddings of the seed data; extracts feature data from the semantic information; determines a relationship between the feature data and the semantic information; and disentangles the feature data to generate the synthetic data. In some aspects, the generator model adds noise at the generator to vary the feature data prior to each simulation cycle of the one or more simulation cycles.

Abstract: Various types of food preparation pans such as but not limited to food preparation pans used for baking, steaming, chilling, freezing and molding various foods and food combinations intended for consumption are disclosed. The pan includes a plurality of thermal conveyance depressions protruding in a vertically oriented disposition relative to a horizontal inner pan bottom surface; and upwardly projected depressions in an outer pan bottom surface of the thermal conveyance depressions to form hollow depressions spaced in between by bridging portions.