Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to facilitate abnormal document self-discovery. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a fairness component, an identification component, a removal component, and an evaluation component. The fairness component can receive a dataset for a tree-based model and calculates a first fairness, and the identification component can identify root to leaf paths in the tree-based model for one or more records of the dataset and one or more corresponding perturbed records. The removal component can remove at least one record of the one or more records having similar root to leaf paths to the other records of the one or more records.

Abstract: The present disclosure is directed to lenses, devices, methods and/or systems for addressing refractive error. Certain embodiments are directed to changing or controlling the wavefront of the light entering a human eye. The lenses, devices, methods and/or systems can be used for correcting, addressing, mitigating or treating refractive errors and provide excellent vision at distances encompassing far to near without significant ghosting. The refractive error may for example arise from myopia, hyperopia, or presbyopia with or without astigmatism. Certain disclosed embodiments of lenses, devices and/or methods include embodiments that address foveal and/or peripheral vision. Exemplary of lenses in the fields of certain embodiments include contact lenses, corneal onlays, corneal inlays, and lenses for intraocular devices both anterior and posterior chamber, accommodating intraocular lenses, electro-active spectacle lenses and/or refractive surgery.

Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: One embodiment is directed to an adapter entity comprising a Technical Report 069 (TR-069) protocol automatic configuration server (ACS) module configured to communicate with managed equipment included in a radio access network (RAN) using the TR-069 protocol. The adapter entity further comprises a Network Configuration Protocol (NETCONF) server configured to communicate with an Open Network Automation Platform (ONAP) Software Defined Network Radio instance (SDN-R) of an ONAP management and orchestration (MANO) environment using NETCONF. The adapter entity further comprises a TR-069-to-NETCONF mapper module, communicatively coupled to the TR-069 protocol ACS module and the NETCONF server, configured to dynamically map NETCONF requests and responses to and from TR-069 Protocol requests and responses. The adapter entity is configured to dynamically map NETCONF requests and responses to and from TR-069 Protocol requests and responses. Other embodiments and examples are disclosed.

Abstract: A user experience repository may contain base layouts and variant metadata for applications of an enterprise. An application design platform may receive, from a designer, an indication of a selected base layout for a selected application and interact with the designer to create a user experience variant (e.g., a page layout). The designer may then define an assignment rule for the user experience variant, the assignment rule including custom logic and multiple user parameters (e.g., a user role, country, language, etc.), and the system may store information about the user experience variant and assignment rule. An enterprise application service platform may determine that a user is accessing the selected application and evaluate the custom logic of the assignment rule based on user parameters of the user accessing the selected application. In accordance with the evaluation, the system may arrange to provide the appropriate user experience variant to the user.

Abstract: In one aspect, an example methodology includes, by a computing device, receiving information about a product from another computing device and determining one or more relevant features from the information about the product, the one or more relevant features influencing prediction of a sequence number. The method also includes, by the computing device, generating, using a machine learning (ML) model, a prediction of a sequence number for the product based on the determined one or more relevant features, the sequence number being indicative of a sequence within a product category tree. The method may also include, by the computing device, sending the prediction to the another computing device.

Abstract: In one aspect, an example methodology includes, by a computing device, receiving information about a product from another computing device and determining one or more relevant features from the information about the product, the one or more relevant features influencing prediction of a sequence number. The method also includes, by the computing device, generating, using a machine learning (ML) model, a prediction of a sequence number for the product based on the determined one or more relevant features, the sequence number being indicative of a sequence within a product category tree. The method may also include, by the computing device, sending the prediction to the another computing device.

Abstract: An example operation may include one or more of storing a batch scoring engine and an application programming interface (API) for the batch scoring engine, receiving a trigger to perform a batch prediction process, reading input data from a source data store and executing, via the batch scoring engine, one or more predictive models on the input data to generate a predictive output and metadata associated with the predictive output, storing the predictive output and the metadata in a target data store, and updating the API with a location of the predictive output within the target data store and a location of the metadata within the target data store.

Abstract: The present disclosure is directed generally to a lens that provides a stop signal to a myopic eye, over a substantial portion of the spectacle lens that the viewer is using. The present disclosure is directed to devices, methods and/or systems of imposing a stop signal to eye growth, using a spectacle lens in conjunction with a micro lenslet array. The present disclosure is also directed to devices, methods and/or systems of modifying incoming light through spectacle lenses that utilizes chromatic cues to decelerate the rate of myopia progression. The present disclosure is directed to devices, methods and/or systems of imposing a stop signal to eye growth, using a spectacle lens in conjunction with a refractive optical element and/or diffractive optical element that offer conflicting or contradictory optical signals at a wavelength between 510 nm and 610 nm.

Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g.

Abstract: A swirler assembly for a combustor includes at least one swirler including a plurality of swirl vanes arrayed about an axis of the swirler. The plurality of swirl vanes includes a first ring of first sub-vanes and a second ring of second sub-vanes, the first ring of first sub-vanes and the second ring of second sub-vanes being separated by a gap therebetween.

Abstract: An example system creates a video based on a user's financial profile for a specified time period and displays the video on a virtual reality device to help the user visualize the user's financial decisions resulting in the user's current financial status as well as visualize the user's predicted financial status in the future. The system analyzes the user's historical financial transactional data, profile information and relevant market and peer information to extract and predict one or more data points regarding the user's financial profile from the past, present and the future. The system generates a video about the user's financial profile by creating a storyline based on the one or more data points.

Abstract: A mixing assembly includes a pilot mixer and a main mixer. The main mixer includes a main housing, a fuel manifold positioned between a pilot housing and the main housing, a mixer foot extending outward from a forward end of the main housing, and a main swirler body including a plurality of vanes. The main swirler body surrounds the main housing and defines an annular mixing channel between the main housing and the main swirler body, and being coupled to the mixer foot. An annular main fuel ring extends axially aft from the mixer foot into the annular mixing channel. The mixer foot extends farther from the main housing than the main fuel ring. At least one of the mixer foot or the main fuel ring includes a plurality of fuel injection ports positioned to discharge fuel into a central portion of the annular mixing channel.

Abstract: Early indications of application programming interface (API) usage are identified by correlation to particular issues with the API including singular and mutual consistency, completeness, accuracy, and staleness. Analysis of API input and output along with data type and formatting information facilitates identification of the API issues. Establishing a correlation between API usage and issues supports early detection of potential usage reduction on a case-by-case level. Corrective action to resolve identified issues may be performed in a timely manner to maintain usage levels.

Abstract: One example of a system comprises using a processor for identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or more encoded rules and policies to determine if the model to be validated complies with the one or more encoded rules and policies; and outputting a notification to a device indicating a validation status of the model to be validated based on the comparison of the computed tamper-proof metrics with the one or more encoded rules and policies.

Abstract: Artificial intelligence (AI) model monitoring and ranking includes obtaining metric values indicative of performance of AI model deployments, the metric values including respective metric values measured across metrics, determining violation statuses of the metrics for each of the AI model deployments, the violation statuses indicating, for each AI model deployment, which of the metrics are violated by the AI model deployment as reflected by respective metric values for that AI model deployment, ranking the AI model deployments against each other according to a ranking model and based on the determined violation statuses for each of the AI model deployments, and providing a rank of at least some of the AI model deployments to a user.

Abstract: The present disclosure is directed to lenses, devices, methods and/or systems for addressing refractive error. Certain embodiments are directed to changing or controlling the wavefront of the light entering a human eye. The lenses, devices, methods and/or systems can be used for correcting, addressing, mitigating or treating refractive errors and provide excellent vision at distances encompassing far to near without significant ghosting. The refractive error may for example arise from myopia, hyperopia, or presbyopia with or without astigmatism. Certain disclosed embodiments of lenses, devices and/or methods include embodiments that address foveal and/or peripheral vision. Exemplary of lenses in the fields of certain embodiments include contact lenses, corneal onlays, corneal inlays, and lenses for intraocular devices both anterior and posterior chamber, accommodating intraocular lenses, electro-active spectacle lenses and/or refractive surgery.

Abstract: Certain embodiments are directed to lenses, devices and/or methods. For example, a lens for an eye having an optical axis and an aberration profile along its optical axis, the aberration profile having a focal distance and including higher order aberrations having at least one of a primary spherical aberration component C(4,0) and a secondary spherical aberration component C(6,0). The aberration profile may provide, for a model eye with no aberrations and an on-axis length equal to the focal distance: (i) a peak, first retinal image quality (RIQ) within a through focus range that remains at or above a second RIQ over the through focus range that includes said focal distance, where the first RIQ is at least 0.35, the second RIQ is at least 0.1 and the through focus range is at least 1.8 Diopters; (ii) a RIQ of 0.3 with a through focus slope that improves in a direction of eye growth; and (iii) a RIQ of 0.3 with a through focus slope that degrades in a direction of eye growth.

Abstract: An example system creates a video based on a user's financial profile for a specified time period and displays the video on a virtual reality device to help the user visualize the user's financial decisions resulting in the user's current financial status as well as visualize the user's predicted financial status in the future. The system analyzes the user's historical financial transactional data, profile information and relevant market and peer information to extract and predict one or more data points regarding the user's financial profile from the past, present and the future. The system generates a video about the user's financial profile by creating a storyline based on the one or more data points.

Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.