Abstract: A computer-implemented method for analyzing issues in a cellular network is provided. The cellular network includes a plurality of cells, including source cells and neighbor cells. The method includes building a network graph representing features of the cells. The method includes identifying, using the network graph, sub-graphs for each source cell indicating a network issue. The method includes, for each network issue of the source cell for each sub-graph, ranking each feature. The method includes, for each source cell, training, using a feature set identified, a first machine learning (ML) model. The method includes training a second ML model, using patterns identified by each cluster, to classify an unidentified pattern of one or more neighbor cells contribution to the source cell network issue and identify root cause information for the issue.

Abstract: A vehicle brake system includes a hydraulic service brake system having a service brake circuit and a trailer brake control system. The trailer brake control system includes a trailer brake valve with a service brake demand input port and a trailer brake demand output port connected to a trailer brake control coupling. The output at the trailer brake demand output port is dependent on the pressure applied at the service brake demand input port. An electronic trailer brake control system has a solenoid control valve to connect the service brake demand input port to a source of pressurized hydraulic fluid to trigger an output at the trailer brake demand output port. An ECU is configured to actuate the control valve to apply the trailer brakes if it determines that the vehicle is at risk of jack-knifing. The system may also include a shuttle valve.

Abstract: A system and method for identifying abnormal medical images. The system can be configured to receive a medical image, segment an anatomical structure from the medical image to define a segmented dataset, register the segmented dataset to a baseline dataset defining a normal anatomical structure, classify, by an abnormality classifier, whether the anatomical structure within the medical image as either abnormal or normal, wherein the abnormality classifier comprises a machine learning algorithm trained to distinguish between normal and abnormal versions of the anatomical structure in medical images, and based on whether the anatomical structure can be segmented from the medical image, whether the segmented dataset can be registered to the baseline dataset, or a classification associated with the medical image output by the abnormality classifier, flagging the medical image as either normal or abnormal.

Abstract: A method of controlling uplink power levels of radio cells in a wireless communications network is disclosed. The method comprises grouping sets of neighboring cells into a plurality of cell clusters, identifying at least one first cell cluster comprising at least one cell being subjected to interference and having a signal quality exceeding a signal quality threshold value, identifying at least one second cell cluster comprising at least one cell being subjected to interference and having a signal quality below the signal quality threshold value; creating a model based on the identified first cell cluster to map a nominal uplink power level to an estimated signal quality value thereof, and adjusting a nominal uplink power level of the at least one cell of the second cell cluster by applying the nominal uplink power level derived from the created model to attain a corresponding estimated signal quality value therein.

Abstract: The invention refers to a method performed by a performance recommender for a wireless network, obtaining (2010) for a plurality of cells input data, the input data comprising actual cell configuration parameter values; applying (2030) a machine-learning model to the input data to generate, for at least a portion of the cells, one or more recommendations for changes to the cell configuration parameter values to improve uplink, UL, performance in the respective cells; and based on identifying conflicts between recommendations for different cells, partitioning (2040) the plurality of cells into a plurality of interaction areas of neighboring cells; resolving (2050) conflicts in recommendations for respective cells within each of the interaction areas and across different interaction areas; and for at least a portion of the cells, determining (2060) preferred values for the cell configuration parameters to improve UL performance in the respective cells; the invention further relates to a corresponding performanc

Abstract: The invention refers to method, performed by a network optimization function associated with a wireless network (100), of forecasting performance issues associated with cells (106, 111, 116) in the wireless network, the method comprising: for each of a plurality of cells in the wireless network, obtaining (1210) first time-series data representing a plurality of key performance indicators, KPIs, at a first plurality of past time points; applying (1220) a multi-layer forecasting model to the first time-series data to determine second time-series data representing the plurality of KPIs for each of the plurality of cells at a second plurality of future time points; and based on the second time-series data, determining (1240) respective probabilities of occurrence for a respective plurality of different performance issues, associated with the plurality of cells, during one or more future time periods that include the second plurality of future time points; the method further refers to a corresponding network opti

Abstract: A method is provided for identifying operating conditions of a system. Input data relating to operation of the system is applied to a multi-class model for classification, where the multi-class model is configured for classifying the data into one of a plurality of predefined classes, and each class corresponds to a respective operating condition of the system. A confidence level of the classification by the multi-class model is determined. If the confidence level is below a threshold confidence level, the input data is applied to a plurality of binary models, where each binary model is configured for determining whether the data is or is not in a respective one of the predefined classes. If the plurality of binary models determine that the data is not in any of the respective predefined classes, the data can be taken into consideration when updating the multi-class model.

Abstract: The present invention refers to a method and apparatus and computer program for detecting communities in a radio access network with a plurality of vertices (C, BBU), wherein the method comprises calculating (S11) relationship strengths (31, 41) for network connections between the vertices (C, BBU) by executing a connection strength calculation process by analyzing performance factors, decisive for network performance including cell coverage overlap, signal strength, and inter-cell interference. The method further creates (S12) a network graph with nodes, representing the vertices (C,BBU) in the network and edges, representing the network connections based on the calculated relationship strengths (31, 41) and applies (S13) an extended iterative disjoint community detection algorithm for clustering nodes into communities, wherein in each iteration imposed one or more constraints for clustering cooperating nodes into the same community are analyzed (S14).

Abstract: A method is disclosed of training a network status classification model. The method includes obtaining measurements of network parameters of a communications network, converting the measurements into a plurality of first images representing the measurements and training a deep convolutional generative adversarial network, DCGAN, with the first images. The method also includes generating a plurality of second images representing artificial measurements of the network parameters using the DCGAN, and training a network status classification model with the plurality of second images.

Abstract: A method 300 is disclosed for generating and training a model to detect interference conditions at a cell in a wireless cellular network and to classify the impact of detected interference conditions on performance of the wireless cellular network in the cell. The method comprises, for each of a plurality of cells in the wireless cellular network (360), obtaining data representing received signal power at a base station serving the cell over a period of time (310) and obtaining data representing a plurality of performance metrics for the cell over the time period (330). The method further comprises obtaining classifications of the received signal power data into one of a plurality of cell interference conditions (320) and the performance metric data into one of a plurality of cell impact classes (340).

Abstract: Embodiments of the disclosure provide methods, apparatus and computer-readable mediums for the detection of cell conditions in a wireless cellular network, and the training of a classifier model to detect cell conditions in a wireless cellular network. In one embodiment, a method of training a classifier model to detect cell conditions in a wireless cellular network comprises: obtaining time-series data for a plurality of performance metrics for each cell of a plurality of cells of the wireless cellular network; converting the time-series data to respective image data sets for each cell of the plurality of cells; classifying the image data sets into one of a plurality of predefined cell conditions; and applying a machine-learning algorithm to training data comprising the classified image data sets to generate a classifier model for classifying image data sets into one of the plurality of predefined cell conditions.

Abstract: A configuration system and method is disclosed that includes a unified and integrated configuration that is composed of a payment system, an advertising system, and an identity management system such that the unified system has all of the benefits of the individual systems as well as several additional synergistic benefits. Also described are specific configurations including the system's access point architecture, visual wallet simulator user interface, security architecture, coupon handling as well as the system's structure and means for delivering them as targeted advertising, business card handling, membership card handling for the purposes of login management, receipt handling, and the editors and grammars provided for customizing the different types of objects in the system as well as the creation of new custom objects with custom behaviors. The configurations are operable on-line as well as through physical presence transactions.

Abstract: A configuration system and method is disclosed that includes a unified and integrated configuration that is composed of a payment system, an advertising system, and an identity management system such that the unified system has all of the benefits of the individual systems as well as several additional synergistic benefits. Also described are specific configurations including the system's access point architecture, visual wallet simulator user interface, security architecture, coupon handling as well as the system's structure and means for delivering them as targeted advertising, business card handling, membership card handling for the purposes of login management, receipt handling, and the editors and grammars provided for customizing the different types of objects in the system as well as the creation of new custom objects with custom behaviors. The configurations are operable on-line as well as through physical presence transactions.

Abstract: The present invention refers to a method and apparatus and computer program for detecting communities in a radio access network with a plurality of vertices (C, BBU), wherein the method comprises calculating (S11) relationship strengths (31, 41) for network connections between the vertices (C, BBU) by executing a connection strength calculation process by analyzing performance factors, decisive for network performance including cell coverage overlap, signal strength, and inter-cell interference. The method further creates (S12) a network graph with nodes, representing the vertices (C,BBU) in the network and edges, representing the network connections based on the calculated relationship strengths (31, 41) and applies (S13) an extended iterative disjoint community detection algorithm for clustering nodes into communities, wherein in each iteration imposed one or more constraints for clustering cooperating nodes into the same community are analyzed (S14).

Abstract: A method comprises selecting, for at least a part of a set of data to be transmitted to a user equipment in cell, a bit rate, said bit rate being selected in dependence on radio conditions associated with said user equipment in said cell.

Abstract: Link speed fluctuation reduction can be useful in a variety of communication systems. Such smoothing may have various benefits and may be achieved in various ways. For example, a policy and charging rules function can be leveraged to avoid repeated transfers of a same section of over-the-top video. A method can include detecting, for a link, a link traffic condition above a predetermined threshold. The method can also include estimating link speed to obtain an initial link speed value. When the detected link traffic condition is above a predetermined threshold, the method can further include limiting fluctuation of the link speed to within a threshold amount of the initial link speed value. The method can additionally include periodically re-estimating the recently achieved link speed as an updated link speed value and limiting the fluctuation based on the updated link speed value.

Abstract: A configuration system and method is disclosed that includes a unified and integrated configuration that is composed of a payment system, an advertising system, and an identity management system such that the unified system has all of the benefits of the individual systems as well as several additional synergistic benefits. Also described are specific configurations including the system's access point architecture, visual wallet simulator user interface, security architecture, coupon handling as well as the system's structure and means for delivering them as targeted advertising, business card handling, membership card handling for the purposes of login management, receipt handling, and the editors and grammars provided for customizing the different types of objects in the system as well as the creation of new custom objects with custom behaviors. The configurations are operable on-line as well as through physical presence transactions.

Abstract: A configuration system and method is disclosed that includes a unified and integrated configuration that is composed of a payment system, an advertising system, and an identity management system such that the unified system has all of the benefits of the individual systems as well as several additional synergistic benefits. Also described are specific configurations including the system's access point architecture, visual wallet simulator user interface, security architecture, coupon handling as well as the system's structure and means for delivering them as targeted advertising, business card handling, membership card handling for the purposes of login management, receipt handling, and the editors and grammars provided for customizing the different types of objects in the system as well as the creation of new custom objects with custom behaviors. The configurations are operable on-line as well as through physical presence transactions.

Abstract: A method comprises selecting, for at least a part of a set of data to be transmitted to a user equipment in cell, a bit rate, said bit rate being selected in dependence on radio conditions associated with said user equipment in said cell.

Abstract: Link speed fluctuation reduction can be useful in a variety of communication systems. Such smoothing may have various benefits and may be achieved in various ways. For example, a policy and charging rules function can be leveraged to avoid repeated transfers of a same section of over-the-top video. A method can include detecting, for a link, a link traffic condition above a predetermined threshold. The method can also include estimating link speed to obtain an initial link speed value. When the detected link traffic condition is above a predetermined threshold, the method can further include limiting fluctuation of the link speed to within a threshold amount of the initial link speed value. The method can additionally include periodically re-estimating the recently achieved link speed as an updated link speed value and limiting the fluctuation based on the updated link speed value.