Abstract: A system and method for object monitoring, detection, and segmentation in electro-optical (EO) satellite imagery data comprising an image processing engine configured to prepare EO data for analysis by an inference engine which utilizes one or more trained models to perform object detection or image segmentation. The workflow begins with ingesting satellite data, followed by de-hazing to remove atmospheric interference. Image enhancement improves resolution and geo-registration ensures precise spatial alignment. The processed image is then fed into a machine learning-based object detection or image segmentation network, trained to identify specific objects of interest. This integrated approach leverages advanced technologies to extract actionable insights from satellite data, enabling efficient and precise object monitoring, detection, and segmentation.

Abstract: A field interference investigation tool (FIIT) cooperates with a spectrum analysis system to identify the location of a source of non-cellular interference to a cellular telecommunications network. The FIIT may be provided with one or more characteristic of the interference that is used to confirm that interference detected by the FIIT device is relevant to the telecommunications system.

Abstract: A field interference investigation tool (FIIT) cooperates with a spectrum analysis system to identify the location of a source of non-cellular interference to a cellular telecommunications network. The FIIT may be provided with one or more characteristic of the interference that is used to confirm that interference detected by the FIIT device is relevant to the telecommunications system.

Abstract: A process for associating a cell with a detected scrambling code in a cellular communications network includes receiving cell data associated with the detected scrambling code, determining a set of candidate cells within a predetermined area, evaluating characteristics of each candidate cell of the set of candidate cells, and associating a cell identifier of a first candidate cell of the set of candidate cells with the detected scrambling code based on the evaluated characteristics.

Abstract: A method for communicating in a cellular network includes receiving location and time data for a plurality of user equipment (UEs) in a cellular communications network at an emergency server that provides emergency services to the plurality of UEs, storing the location and time data in a secure memory of the emergency server, receiving an emergency notification associated with a missing person at the emergency server, correlating, by the emergency server, the stored location and time data with data of the emergency notification to determine a set of volunteer witness UEs, and transmitting volunteer witness request messages to the set of volunteer witness UEs.

Abstract: A process for associating a cell with a detected scrambling code in a cellular communications network includes receiving cell data associated with the detected scrambling code, determining a set of candidate cells within a predetermined area, evaluating characteristics of each candidate cell of the set of candidate cells, and associating a cell identifier of a first candidate cell of the set of candidate cells with the detected scrambling code based on the evaluated characteristics.

Abstract: Embodiments of methods, apparatuses, devices and/or systems associated with a graphical interface are disclosed.