Abstract: A system and method for collecting, at a terminal, statistical data regarding performance of a transport between the terminal and a satellite; analyzing, at the terminal with an ML model, the statistical data to determine a failure state of the terminal and notifying a user of the failure state, wherein the ML model is trained on a training dataset collected from a terminal population, and the statistical data comprises a terminal state and transport metrics for the terminal.

Abstract: A system and method utilizing deep clinical knowledge represented as a knowledge-graph to complement and enhance Natural Language Processing (NLP) for efficient and high-quality computer assisted coding of medical text. One embodiment utilizes the International Classification of Diseases version-10 Procedural Coding System (ICD-10-PCS). The system uses multiple knowledge bases combined with direct mapping provided by the ICD-10-PCS standard to enhance the coverage of assigned code. The system identifies ICD-10-PCS code considering hierarchical mapping and identifies the code by individual ICD-10-PCS character.

Abstract: A system and method utilizing deep clinical knowledge represented as a knowledge-graph to complement and enhance Natural Language Processing (NLP) for efficient and high-quality computer assisted coding of medical text. One embodiment utilizes the International Classification of Diseases version-10 Procedural Coding System (ICD-10-PCS). The system uses multiple knowledge bases combined with direct mapping provided by the ICD-10-PCS standard to enhance the coverage of assigned code. The system identifies ICD-10-PCS code considering hierarchical mapping and identifies the code by individual ICD-10-PCS character.

Abstract: The present invention generally relates to methods and systems for analysis of real-time user-generated text messages. The methods and systems allow analysis to be performed using term associations and geographical and temporal constraints.

Abstract: The present invention generally relates to methods and systems for analysis of real-time user-generated text messages. The methods and systems allow analysis to be performed using term associations and geographical and temporal constraints.

Abstract: A system and method for creating a database of metadata (metabase) of a variety of digital media content, including TV and radio content delivered on Internet. This semantic-based method captures and enhances domain or subject specific metadata of digital media content, including the specific meaning and intended use of original content. To support semantics, a WorldModel is provided that includes specific domain knowledge, ontologies as well as a set of rules relevant to the original content. The metabase may also be dynamic in that it may track changes to the any variety of accessible content, including live and archival TV and radio programming.