Abstract: Systems and methods of anomaly detection in time-series are disclosed. A time-series dataset is received and a set of segments is iteratively defined from the time-series dataset by identifying a set of changepoints in the time-series dataset based on a changepoint type and a sensitivity parameter, determining whether the set of segments defined by the changepoints satisfy at least one threshold criteria, and modifying the sensitivity parameter when the threshold criteria is not met or outputting the set of segments when the threshold criteria is met. A segment-specific anomaly detection threshold is determined for each segment in the set of segments and a set of anomaly-flagged segments is generated. The set of anomaly flagged segments are generated by an anomaly detection process based on the segment-specific anomaly detection threshold for a corresponding segment. An anomaly-flagged time-series is generated by combining the set of anomaly-flagged segments.

Abstract: Embodiments of disclosure relate to a method and an electronic device for identifying aggressor nodes in communication network. The method comprises receiving data related to a plurality of nodes of the communication network, from a network management entity, wherein the data comprises information on aggressor nodes and one or more victim nodes associated with the aggressor nodes; predicting an interference pattern indicating an interference caused by each of the aggressor nodes on the one or more victim nodes for at least one of a plurality of time instances, using a trained estimation model; and identifying at least one aggressor node having a possibility to interfere with the one or more victim nodes during the at least one of the plurality of time instances based on the interference pattern.

Abstract: Embodiments of disclosure relate to a method and an electronic device for identifying aggressor nodes in communication network. The method comprises receiving data related to a plurality of nodes of the communication network, from a network management entity, wherein the data comprises information on aggressor nodes and one or more victim nodes associated with the aggressor nodes; predicting an interference pattern indicating an interference caused by each of the aggressor nodes on the one or more victim nodes for at least one of a plurality of time instances, using a trained estimation model; and identifying at least one aggressor node having a possibility to interfere with the one or more victim nodes during the at least one of the plurality of time instances based on the interference pattern.

Abstract: Provided are a method and apparatus for controlling an unresponsive state of an electronic device. The method includes: obtaining a plurality of device parameters related to at least one of a hardware module and a software module of the electronic device, and a user usage pattern parameter based on receiving at least one user input to the electronic device; predicting the unresponsive state of the electronic device based on the collected plurality of device parameters and the collected user usage pattern parameter; and avoiding the predicted unresponsive state of the electronic device by applying a policy selected from among a plurality of policies associated with the plurality of the device parameters to a device parameter related to the predicted unresponsive state of the electronic device.

Abstract: Provided are a method and apparatus for controlling an unresponsive state of an electronic device. The method includes: obtaining a plurality of device parameters related to at least one of a hardware module and a software module of the electronic device, and a user usage pattern parameter based on receiving at least one user input to the electronic device; predicting the unresponsive state of the electronic device based on the collected plurality of device parameters and the collected user usage pattern parameter; and avoiding the predicted unresponsive state of the electronic device by applying a policy selected from among a plurality of policies associated with the plurality of the device parameters to a device parameter related to the predicted unresponsive state of the electronic device.