Abstract: The present application provides a method for performing data analytics in hybrid systems. The method may involve: determining a quantum of historical data associated with a machine learning model; determining an order associated with the machine learning model; determining whether a latency associated with the machine learning model is critical; selecting a server from a plurality of servers based at least in part on the quantum of historical data, the order, and the latency; and training the machine learning model using the server. The method may further involve: determining, using the machine learning model, a condition deterioration associated with a power transformer system.

Abstract: Bulk acoustic wave resonators of two or more different filters can be on a common die. The two filters can be included in a multiplexer, such as a duplexer, or implemented as standalone filters. With bulk acoustic wave resonators of two or more filters on the same die, the filters can be implemented in less physical space compared to implementing the same filters of different die. Related methods, radio frequency systems, radio frequency modules, and wireless communication devices are also disclosed.

Abstract: Bulk acoustic wave resonators of two or more different filters can be on a common die. The two filters can be included in a multiplexer, such as a duplexer, or implemented as standalone filters. With bulk acoustic wave resonators of two or more filters on the same die, the filters can be implemented in less physical space compared to implementing the same filters of different die. Related methods, radio frequency systems, radio frequency modules, and wireless communication devices are also disclosed.

Abstract: Bulk acoustic wave resonators of two or more different filters can be on a common die. The two filters can be included in a multiplexer, such as a duplexer, or implemented as standalone filters. With bulk acoustic wave resonators of two or more filters on the same die, the filters can be implemented in less physical space compared to implementing the same filters of different die. Related methods, radio frequency systems, radio frequency modules, and wireless communication devices are also disclosed.

Abstract: Bulk acoustic wave resonators of two or more different filters can be on a common die. The two filters can be included in a multiplexer, such as a duplexer, or implemented as standalone filters. With bulk acoustic wave resonators of two or more filters on the same die, the filters can be implemented in less physical space compared to implementing the same filters of different die. Related methods, radio frequency systems, radio frequency modules, and wireless communication devices are also disclosed.

Abstract: Bulk acoustic wave resonators of two or more different filters can be on a common die. The two filters can be included in a multiplexer, such as a duplexer, or implemented as standalone filters. With bulk acoustic wave resonators of two or more filters on the same die, the filters can be implemented in less physical space compared to implementing the same filters of different die. Related methods, radio frequency systems, radio frequency modules, and wireless communication devices are also disclosed.

Abstract: Bulk acoustic wave resonators of two or more different filters can be on a common die. The two filters can be included in a multiplexer, such as a duplexer, or implemented as standalone filters. With bulk acoustic wave resonators of two or more filters on the same die, the filters can be implemented in less physical space compared to implementing the same filters of different die. Related methods, radio frequency systems, radio frequency modules, and wireless communication devices are also disclosed.

Abstract: A system and method for removing personally identifiable information (PII) from medical data and ensuring strict compliance with privacy laws and regulations. The PII removal tool removes, deletes or redacts sensitive personally identifiable information, which may comprise any health care data that may be linked to any individual. The system and method is preferably applied to medical data, images, video, or other electronic media captured from medical procedures, endoscopes, or arthroscopic surgery. Artificial intelligence powered software and models are applied to the medical data for the detection of PII comprising patient names, medical history, faces, account numbers, digital identities, biometric data, or other sensitive personal information which may be linked to an individual. Medical data is re-written without PII and the system generates metadata describing the deleted PII.