Abstract: A requirements to test (R2T) system is implemented, which provides an automated system by which a user interface (UI)-test automation script package is generated and the generated test scripts therein are executed against software. A visualized workflow is translated into some machine-consumable formatted file. The translated workflow is utilized by an artificial intelligence driven automated R2T engine to discover paths through the workflow, a series of executable steps for the paths that detail how the software will be used, and ultimately test scripts that are generated using pre-defined validation templates. An automation platform executes the test scripts through the software associated with the workflow, which automatically captures evidence of the executed test scripts to fulfill computer system validation requirements. The R2T system provides an automated solution for test script creation and system validation to expedite the validation process and thereby streamline a software's time to market.

Abstract: A set of images is accessed from a server. The set is analyzed to identify objects in each image using object recognition algorithms. A primary image that includes more of the identified objects than any of the other images of the set is determined. For each of the identified objects in the primary image, a secondary image that includes the identified object and has a higher magnification than the primary image is determined. Links are inserted into the primary image at locations including an identified object that is also in a secondary image. The primary image is displayed and, upon receiving a selection of one of the links, the secondary image that includes the identified object at the location of the selected link is displayed. The set of images is ordered based on relative positions of the identified objects in each image and then linked together based on the ordering.

Abstract: A method of controlling power in a transmission system may include determining a first transmit power of a first transmit path, determining a second transmit power of a second transmit path, and controlling the first transmit path and the second transmit path based on a combination of the first transmit power and the second transmit power. The combination of the first transmit power and the second transmit power may include a sum of the first transmit power and the second transmit power. Controlling the first transmit path and the second transmit path may include determining a first effective power target for the first transmit path based on the first transmit power and the second transmit power, and determining a second effective power target for the second transmit path based on the first transmit power and the second transmit power.

Abstract: Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a subset of historical PM samples and determining an anomaly ratio of a first time window and a second time window, based on the cumulative anomaly score. The method also includes determining one or more anomaly events coinciding with CM parameter changes based on the anomaly ratio; collating the PM, alarm, and CM data into a combined data set based on matching fields and timestamps; generating a set of rules linking one or more CM parameter changes and the collated data to anomaly events; and generating root cause explanations for CM parameter changes that are linked to anomaly events.

Abstract: User equipment may include a transmitter and a receiver coupled to an antenna to enable the user equipment to transmit and receive user data with a base station of the wireless network. However, the user equipment may perform power-consuming searches to determine a base station for connection. Furthermore, the connection may be affected by blockages and transitions during mobility scenarios. As such, it may be beneficial for the user equipment to implement mobility procedures. For example, the user equipment may form links with multiple base stations of a cell cluster for transitioning. In another example, the wireless network may generate a map with locations of base stations and beam characteristics for the user equipment to determine coverage areas and decrease a number of transitions. Still in another example, the user equipment may receive blockage information to predict a blockage and implement mobility procedures to maintain wireless service during a blockage.

Abstract: Systems, apparatuses and methods may provide for technology that issues a program pulse to a selected subblock of a NAND memory array, conducts a pulse recovery phase after the program pulse, and shuts down unselected subblocks in the NAND memory array during the pulse recovery phase.

Abstract: A closed-loop power control (CLPC) system is disclosed that includes a first signal path for a first polarization and a second signal path for a second polarization. The first signal path includes a first power amplifier, a first output power detector configured to detect a first output power level of the first power amplifier, and a first processor configured to determine a first analog gain for a first controller and a first gain for a first digital-to-analog converter based on a first accumulated error between the first output power level and a target Effective Isotropically Radiated Power. A second processor is configured to set a first variable gain of a first variable gain amplifier coupled to an input of the first power amplifier. The CLPC can be configured to control the gain of the first signal path separately or as one signal path.

Abstract: User equipment may include a transmitter and a receiver coupled to an antenna to enable the user equipment to transmit and receive user data with a base station of the wireless network. However, the user equipment may perform power-consuming searches to determine a base station for connection. Furthermore, the connection may be affected by blockages and transitions during mobility scenarios. As such, it may be beneficial for the user equipment to implement mobility procedures. For example, the user equipment may form links with multiple base stations of a cell cluster for transitioning. In another example, the wireless network may generate a map with locations of base stations and beam characteristics for the user equipment to determine coverage areas and decrease a number of transitions. Still in another example, the user equipment may receive blockage information to predict a blockage and implement mobility procedures to maintain wireless service during a blockage.

Abstract: User equipment may include a transmitter and a receiver coupled to an antenna to enable the user equipment to transmit and receive user data with a base station of the wireless network. However, the user equipment may perform power-consuming searches to determine a base station for connection. Furthermore, the connection may be affected by blockages and transitions during mobility scenarios. As such, it may be beneficial for the user equipment to implement mobility procedures. For example, the user equipment may form links with multiple base stations of a cell cluster for transitioning. In another example, the wireless network may generate a map with locations of base stations and beam characteristics for the user equipment to determine coverage areas and decrease a number of transitions. Still in another example, the user equipment may receive blockage information to predict a blockage and implement mobility procedures to maintain wireless service during a blockage.

Abstract: Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.

Abstract: The present technology can move operating system folders into a sync folder of a cross platform content management system, and redirect the operating system to look for the OS folders in the sync folder. The present technology also provides an invariant checker to make sure that another application has not moved the OS folders after they have been placed in the sync folder, and provides solutions when the OS folders are moved out of the sync folder of the content management system. Additionally, when OS folders for multiple client devices are in the sync folder on the content management system, the present technology can provide a mechanism to make the content items in an OS folder on a first client device also sync into an OS folder on second client device.

Abstract: Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.

Abstract: Various embodiments described herein support or provide for predicting a rating for a media asset for one geographic region based on a reference rating of the media asset for another geographic region.

Abstract: Systems and methods for radiology image classification from noisy images in accordance with embodiments of the invention are illustrated. One embodiment includes noisy image classification device, including a processor, camera circuitry, and a memory containing a noisy image classification application, where the noisy image classification application directs the processor to obtain image data describing a first image taken of a second image using the camera circuitry, where the second image was produced by a medical imaging device, and where the first image is a noisy version of the second image, classify the image data using a neural network trained to be robust to noise, generate an investigation recommendation based on the classification, and provide the investigation recommendation via a display.

Abstract: Apparatuses and methods for a CSI report configuration for CSI predictions in one or more domains. A method performed by a user equipment (UE) includes transmitting capability information indicating capability of the UE to support machine learning (ML) based channel state information (CSI) prediction in one or more domains, receiving configuration information that indicates parameters for ML based CSI prediction in the one or more domains; receiving CSI reference signals (RSs), and measuring the CSI-RSs. The method further includes determining, based on the configuration information and the measured CSI-RSs, a plurality of CSI predictions in the one or more domains; determining a CSI report including one or more of the plurality of CSI predictions and dependency information indicating dependencies between CSI predictions in the plurality of CSI predictions; and transmitting the CSI report.

Abstract: Aspects of the current disclosure include systems and methods for identifying an entity in a query image by comparing the query image with digital images in a database. In one or more embodiments, a query feature may be extracted from the query image and a set of candidate features may be extracted from a set of images in the database. In one or more embodiments, the distances between the query feature and the candidate features are calculated. A feature, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In one or more embodiments, the feature is input to a trained model to determine whether the entity in the query image is the same entity associated with one of the set of shortest distances.

Abstract: A system for detecting boundaries of lanes on a road is presented. The system includes an imaging system configured to produce a set of pixels associated with lane markings on a road. The system also includes one or more processors configured to detect boundaries of lanes on the road, including: receive, from the imaging system, the set of pixels associated with lane markings; partition the set of pixels into a plurality of groups, each of the plurality of groups associated with one or more control points; and generate a first spline that traverses the control points of the plurality of groups, the first spline describing a boundary of a lane on the road.

Abstract: Methods, systems, and computer readable storage media for using image processing to develop a library of facial expressions. The system can receive digital video of at least one speaker, then execute image processing on the video to identify landmarks within facial features of the speaker. The system can also identify vectors based on the landmarks, then assign each vector to an expression, resulting in a plurality of speaker expressions. The system then scores the expressions based on similarity to one another, and creates subsets based on the similarity scores.

Abstract: A method of compensating for IQ mismatch (IQMM) in a transceiver may include sending first and second signals from a transmit path through a loopback path, using a phase shifter to introduce a phase shift in at least one of the first and second signals, to obtain first and second signals received by a receive path, using the first and second signals received by the receive path to obtain joint estimates of transmit and receive IQMM, at least in part, by estimating the phase shift, and compensating for IQMM using the estimates of IQMM. Using the first and second signals received by the receive path to obtain estimates of the IQMM may include processing the first and second signals received by the receive path as a function of one or more frequency-dependent IQMM parameters.