Abstract: Methods systems and apparatus are set forth herein. There is provided in one embodiment determining one or more body physiological parameter of a patient based on one or more input; and controlling a heating system for warming the patient based on a result of the determining.

Abstract: There is provided a method for optimizing a manufacturing process of a new part. The method includes executing, by a system configured to drive the manufacturing process, a set of manufacturing functions. Executing these functions include receiving data associated with one or more field parts similar to the new part, and generating, based on the data, a forecast representative of a longevity of the one or more parts. The method further includes generating a digital thread forming a surrogate model for the new part, based on the forecast. Further, the method includes creating the set of manufacturing functions based on the surrogate model and manufacturing the new part according to the set of manufacturing functions.

Abstract: There are provided methods and systems for optimizing a manufacturing process. For example, there is provided a method for generating a model for driving a decision of a manufacturing process. The method includes simultaneously receiving data from a plurality of sources and executing a machine learning-based procedure on the data. The method further includes updating a physics-based model corresponding to the model in real time based on a result of the machine learning-based procedure.

Abstract: There is provided a method for optimizing a manufacturing process of a new part. The method includes executing, by a system configured to drive the manufacturing process, a set of manufacturing functions. Executing these functions include receiving data associated with one or more field parts similar to the new part, and generating, based on the data, a forecast representative of a longevity of the one or more parts. The method further includes generating a digital thread forming a surrogate model for the new part, based on the forecast. Further, the method includes creating the set of manufacturing functions based on the surrogate model and manufacturing the new part according to the set of manufacturing functions.

Abstract: There are provided methods and systems for optimizing a manufacturing process. For example, there is provided a method for optimizing a manufacturing process of a new part. The method includes executing, by a system configured to drive the manufacturing process, a set of manufacturing. The method includes receiving data associated with one or more fielded parts. The method further includes generating a first model associated with the one or more fielded parts and updating a second model associated with the new part based on the first model. The method further includes manufacturing the new part according to the updated second model.

Abstract: There are provided methods and systems for optimizing a manufacturing process. For example, there is provided a method for generating a model for driving a decision of a manufacturing process. The method includes simultaneously receiving data from a plurality of sources and executing a machine learning-based procedure on the data. The method further includes updating a physics-based model corresponding to the model in real time based on a result of the machine learning-based procedure.

Abstract: Methods systems and apparatus are set forth herein. There is provided in one embodiment determining one or more body physiological parameter of a patient based on one or more input; and controlling a heating system for warming the patient based on a result of the determining.