Abstract: A depth image of an object can be input to a deep neural network to determine a first four degree-of-freedom pose of the object. The first four degree-of-freedom pose and a three-dimensional model of the object can be input to a silhouette rendering program to determine a first two-dimensional silhouette of the object. A second two-dimensional silhouette of the object can be determined based on thresholding the depth image. A loss function can be determined based on comparing the first two-dimensional silhouette of the object to the second two-dimensional silhouette of the object. Deep neural network parameters can be optimized based on the loss function and the deep neural network can be output.

Abstract: A method of monitoring corrosion of an electrical enclosure in a hazardous environment is provided. The method is implemented with at least one computing device in communication with at least one FBG optical sensor reflecting UV light in the electrical enclosure. The method includes measuring wavelength changes of UV light reflected by the at least one sensor, wherein the wavelength changes are a function of corrosion-related strain in the electrical enclosure. The method also includes computing, by the at least one computing device, the corrosion-related strain in the electrical enclosure based on the measured wavelength changes. The method further includes comparing, by the at least one computing device, the computed corrosion-related strain with a predetermined threshold, and recommending preventive corrosion-related maintenance based on the comparison.

Abstract: An analytics system receives, from a client computing device, a request to generate a presentation for an entity, the request indicating a presentation template to present one or more combinations of theme information, actionable insights information, and question information. The analytics system accesses feedback data associated with the entity. The feedback data comprises unstructured data available from multiple data stores. The analytics system determines analytical data that indicates themes, actionable insights, and questions generated from the feedback data. The analytics system generates a presentation file based on the analytical data. The presentation file includes one or more combinations of the themes, actionable insights, and questions according to the presentation template. The analytics system causes the presentation file to be transmitted to the client computing device.

Abstract: An analytics system receives, from a client computing device, a request to generate a presentation. The analytics system accesses one or more feedback datasets of feedback data. The feedback data comprises unstructured data available from multiple data stores. The analytics system generates, for each feedback dataset, a respective feedback text and a respective sentiment associated with the respective feedback text. The analytics system applies a model to a plurality of generated feedback texts to extract actionable insights. The actionable insights comprise portions of feedback texts that are (1) associated with items associated with an entity and (2) include a negative sentiment. The analytics system generates a presentation file that indicates the actionable insights.

Abstract: An analytics system receives, from a client computing device, a request to generate a presentation. The analytics system accesses one or more feedback datasets of feedback data. The feedback data comprises unstructured data available from multiple data stores. The analytics system generates, for each feedback dataset, a respective feedback text and a respective sentiment score indicating a degree of negativity associated with the respective feedback text. For a combination of a plurality of generated feedback texts, the analytics system selects a set of themes based at least on a plurality of generated sentiment scores. Each sentiment score of the plurality of generated sentiment scores is associated with one of the plurality of generated feedback texts. The analytics system generates a presentation file that indicates the set of themes. The analytics system causes the presentation file to be transmitted to the client computing device.