Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using a hybrid reason code prediction machine learning framework. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform natural language processing using a hybrid reason code prediction machine learning framework that comprises one or more of the following: (i) a hierarchical transformer machine learning model, (ii) an utterance prediction machine learning model, (iii) an attention distribution generation machine learning model, (iv) an utterance-code pair prediction machine learning model, and (v) a hybrid prediction machine learning model.

Abstract: The present invention enables the passive initiation of a deployment sequence for a countermeasure payload. The invention comprises an initiator coil that is positioned inside an electromagnetic countermeasure launcher. When the electromagnetic countermeasure launcher electromagnetically generates propulsive force to propel a payload to its deployment position, inductive coupling between one or more propulsion coils of the launcher and the initiator coil induces current to flow in the initiator coil, which thereby initiates the deployment sequence.

Abstract: The present invention enables the passive initiation of a deployment sequence for a countermeasure payload. The invention comprises an initiator coil that is positioned inside an electromagnetic countermeasure launcher. When the electromagnetic countermeasure launcher electromagnetically generates propulsive force to propel a payload to its deployment position, inductive coupling between one or more propulsion coils of the launcher and the initiator coil induces current to flow in the initiator coil, which thereby initiates the deployment sequence.