Abstract: A wireless communication system includes a central cloud server that obtains a first type of telemetry information from a plurality of hybrid analog-digital repeater devices and a second type of telemetry information from a master wireless access point device and service wireless access point devices. Based on the first type of telemetry information and the second type of telemetry information, a performance degradation is detected of the master wireless access point device operating in a primary gateway role in the wireless backhaul mesh network. A new master wireless access point device is elected from a plurality of network nodes based on defined election criteria when the performance degradation is detected beyond defined threshold. The new master wireless access point device previously operating in a network role different from the primary gateway role in the wireless backhaul mesh network is switched to operate in the primary gateway role.

Abstract: An access repeater device that controls transmission of a first beam of radio frequency (RF) signals at a first transmit (Tx) power level, and detects a distribution of a set of user equipment (UEs), within a physical coverage zone of the access repeater device based on the transmitted first beam of RF signals, where a first UE of the set of UEs is detected at a first distance from the access repeater device at a first instance. The access repeater device controls decrease of the first Tx power level of the first beam of RF signals to induce a UE response at a second UE to increase a Tx radio power of an RF signal by the second UE. The access repeater device detects the second UE at a second instance based on the decrease of the first Tx power level.

Abstract: A wireless communication system includes a central cloud server that obtains a first type of telemetry information from a plurality of hybrid analog-digital repeater devices and a second type of telemetry information from a master wireless access point device and service wireless access point devices. Based on the first type of telemetry information and the second type of telemetry information, an RF signal interference or blockage is determined on the first type of polarization corresponding to a first analog data link of dual analog data links at one or more hybrid analog-digital repeater devices. The data traffic is dynamically switched at the one or more hybrid analog-digital repeater devices on the second type of polarization corresponding to a second analog data link of the dual analog data links when the RF signal interference or blockage is determined on the first type of polarization.

Abstract: A wireless communication system including a central cloud server that obtains a first type of telemetry information from hybrid analog-digital repeater devices and a second type of telemetry information from a master wireless access point device and one or more service wireless access point devices. The central cloud server assigns a first weightage to the first type of telemetry information, assigns a second weightage to the second type of telemetry information, the second weightage is different from the first weightage, determines intra-node RF beam parameters and inter-node RF beam parameters for each of the hybrid analog-digital repeater devices, and causes the hybrid analog-digital repeater devices to dynamically form a wireless backhaul network among the master wireless access point device, the hybrid analog-digital repeater devices and the one or more service wireless access point devices, based on the determined intra-node RF beam parameters and the inter-node RF beam parameters.

Abstract: A repeater device as switch node in a wireless communication system, includes a donor antenna that obtains a first beam of RF signals from an upstream neighboring node. The repeater device further includes a switch circuit that detects a label in a preamble of each data frame of a plurality of data frames carried by first beam of RF signals independent of decoding other header information and user data in each data frame. The plurality of data frames is then switched based on the detected label in each data frame such that each data frame is routed to a corresponding service phased antenna array of the plurality of service phased antenna arrays for communication via a plurality of service phased antennas where each second beam of RF signal carries at least one data frame of the plurality of data frames in a plurality of different data propagation paths.

Abstract: A virtual fiber communication system includes a central cloud server that obtains telemetry information from a plurality of network nodes of a wireless backhaul mesh network. The central cloud server further obtains frequency spectrum availability metadata and custom-defined access parameters from spectrum owner nodes. The central cloud server detects spectrum availability variations across the plurality of network nodes based on the obtained telemetry information, the frequency spectrum availability metadata, and the custom-defined access parameters. Based on the detected spectrum availability variations across the plurality of network nodes, the central cloud server controls the plurality of network nodes to inject additional capacity to one or more data sessions in the wireless backhaul mesh network in a real-time or near real time when an increase in data traffic demand is detected in one or more data propagation paths across the plurality of network nodes in the wireless backhaul mesh network.

Abstract: Methods and systems for computer-assisted contour revision. An image slice may be selected from a medical image. The image slice may include an initial contour of a target anatomical structure in the medical image. At least a portion of the image slice and the initial contour may be displayed on a graphical user interface (GUI). Upon determining that the initial contour requires revision, a revised contour may be generated. A first input may be received from a user to the GUI to indicate a first point of revision. The medical image, the first input, and the initial contour may be input into a trained deep neural network that automatically extracts learned image characteristics. The extracted learned image characteristics may be processed using one or more deep-learning segmentation algorithms of the trained deep neural network. The revised contour may be automatically generated using the processed extracted learned image characteristics.

Abstract: An access repeater device detects distribution of user equipment (UEs) within defined physical coverage zone based on first beam of RF signals transmitted at first Tx power level from the access repeater device. A first UE is detected at first distance from the access repeater device at first instance. The access repeater device controls the decrease of the first Tx power level of the first beam of RF signals. The decrease induces UE response at a second UE to increase Tx radio power of RF signal emitted by the second UE hidden to the access repeater device. The access repeater device further re-detects the distribution of the set of UEs within the defined physical coverage zone at a second instance, based on the UE response, wherein the detected set of UEs comprises the first UE at the first distance and the second UE at the second distance.

Abstract: A wireless communication system including a master wireless access point device communicates a WLAN signal in first WLAN frequency from a data source. A plurality of hybrid analog-digital repeater devices are disposed at a plurality of different locations, where a first hybrid analog-digital repeater device receives the WLAN signal from the master wireless access point device, convert the WLAN signal to a first beam of radio frequency (RF) signal in an intermediate frequency band, and relays the first beam of RF signals in the intermediate frequency band to one or more second hybrid analog-digital repeater devices of the plurality of hybrid analog-digital repeater devices. One or more service wireless access point devices receives the first beam of RF signals from the one or more second hybrid analog-digital repeater devices and convert back to the WLAN signal to serve user equipment in a data throughput greater than a threshold throughput.

Abstract: Approaches are provided for a prediction model determining a prediction indicative of the authorized user being associated with at least one anomaly event. In one example, a computer system may receive data from different sources. For example, the system may receive data associated with use of one or more monitored units of an automated storage and retrieval location. The system may also receive request data associated with a request for execution of the monitored controlled unit by an authorized user to a target user. The prediction model of the system may utilize the received data to determine the prediction that the authorized user is associated with at least one anomaly event associated with a diversion of a monitored unit away from the target user. The system may then provide the prediction for presentation.

Abstract: A wireless communication system including a central cloud server that obtains a first type of telemetry information from a plurality of hybrid analog-digital repeater devices and a second type of telemetry information from a master wireless access point device and one or more service wireless access point devices. The central cloud server determines intra-node RF beam parameters and inter-node RF beam parameters for each of the plurality of hybrid analog-digital repeater devices based on the first type of telemetry information and the second type of telemetry information. The central cloud server causes the plurality of hybrid analog-digital repeater devices to dynamically form a wireless backhaul network among the master wireless access point device, the plurality of hybrid analog-digital repeater devices and the one or more service wireless access point devices, based on the determined intra-node RF beam parameters and the inter-node RF beam parameters.

Abstract: A method for determining a radiotherapy treatment plan can include: receiving anatomical data for a patient; generating, via a neural network analyzing the anatomical data, a plurality of fitness values for a plurality of candidate beam orientations; determining a selected beam orientation based on the plurality of fitness values; performing a fluence map optimization (FMO) process on the selected beam orientation; and determining a dose distribution for the patient based on the FMO process.

Abstract: A method and system for generating a treatment plan are disclosed herein. A computing system receives a plurality of dose volume histograms for a plurality of patients and a plurality of volumetric dose distributions corresponding to the plurality of dose volume histograms. The computing system generates a volumetric dose prediction model using a neural network by learning, by the neural network, a relationship between a plurality of dose volume histograms for the plurality of patients and the corresponding plurality of volumetric dose distributions. The computing system receives a candidate dose volume histogram for a target patient. The computing system infers, via the volumetric dose prediction module, a volumetric dose prediction distribution matching the candidate dose volume histogram. The computing system generates a recommendation based on the inferred volumetric dose prediction distribution.

Abstract: A method and system for generating a treatment plan are disclosed herein. A computing system receives a plurality of dose volume histograms for a plurality of patients and a plurality of volumetric dose distributions corresponding to the plurality of dose volume histograms. The computing system generates a volumetric dose prediction model using a neural network by learning, by the neural network, a relationship between a plurality of dose volume histograms for the plurality of patients and the corresponding plurality of volumetric dose distributions. The computing system receives a candidate dose volume histogram for a target patient. The computing system infers, via the volumetric dose prediction module, a volumetric dose prediction distribution matching the candidate dose volume histogram. The computing system generates a recommendation based on the inferred volumetric dose prediction distribution.

Abstract: Classification for data intake operations in an enterprise ensures that sensitive data is not disseminated inappropriately, but incurs substantial time, effort and expense. A method of classifying data in a large set of data repositories captures a set of raw rules resulting from inputs indicative of evaluations and conclusions of data classification operations, typically by logging data classification operations, and identifies patterns in the set of raw rules by consolidating duplicative conditions and eliminating inconsequential conditions. External conditions and observations may be referenced for applying a context to the rules based on a usage or domain of the data, and data sets of disparate entities may be examined for anonymizing the data and combining with other sets of anonymized data.

Abstract: In some examples, there may be provided systems, devices, and methods for using data from disparate sources to determine whether diversion events have occurred. A diversion event may be when a monitored unit intended for a target user is diverted away from the target user.

Abstract: Classification for data intake operations in an enterprise ensures that sensitive data is not disseminated inappropriately, but incurs substantial time, effort and expense. A method of classifying data in a large set of data repositories captures a set of raw rules resulting from inputs indicative of evaluations and conclusions of data classification operations, typically by logging data classification operations, and identifies patterns in the set of raw rules by consolidating duplicative conditions and eliminating inconsequential conditions. External conditions and observations may be referenced for applying a context to the rules based on a usage or domain of the data, and data sets of disparate entities may be examined for anonymizing the data and combining with other sets of anonymized data.