Abstract: A system and method for flood hazard estimation inputs a satellite elevation map and applies a machine learning model to output a geographic map representing flood hazard areas. The machine learning model is trained using a generative adversarial network (GAN) to produce an output of a deterministic hazard mapping algorithm. A GAN objective applies a loss function, reweighted to increase the importance of high hazard areas. The method retrieves a DEM topography file representing elevation data of an identified terrain, and applies a sink-filling algorithm to detect and fill sinks in the DEM topography. The algorithm subtracts the DEM elevation data to generate a filled topography, and identifies flattest regions of the filled topography. The algorithm then generates a flood hazard map by merging the filled topography and the DEM elevation data, using a weighting function that balances the detected sinks and the flattest regions of the filled topography.

Abstract: A greeting card finder app tool which receives user input regarding an occasion and a greeting card recipient and also receives answers to one or more posed questions and returns to the user a list of appropriate or suitable greeting cards. Once a greeting card from the list is selected by the user, the app will provide the user with the location of where to find the selected card.

Abstract: A commercial packeted pet food product, having: an edible substrate, said substrate including at least one surface adapted to receive a suspension of flavorsome materials in a paste, gum or gel; and flavorsome materials, adhering to said surface, which substantially contribute to producing the flavor profile of said pet food product when consumed.