Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for using machine learning to detect and correct satellite terminal performance limitations. In some implementations, a system retrieves data indicating labels for clusters of network performance anomalies. The system generates a set of training data to train a machine learning model, the set of training data being generated by assigning the labels for the clusters to sets of performance indicators used to generate the clusters. The system trains a machine learning model to predict classifications for communication devices based on input of performance indicators for the communication devices. The system determines a classification for the communication device based on output that the trained machine learning model generates.

Abstract: A housing assembly for a plier-operated insulation-displacement connector includes a first housing section and a second housing section. The first housing section and the second housing section are movable with respect to one another. Each of the first housing section and the second housing section has a top surface grippable by a jaw of a plier. The top surface of the first housing section has a concave area in a first direction. The top surface of the second housing section at least one of: has a concave area in the first direction, and is slidably arranged along the first direction with respect to the top surface of the first housing section.