Abstract: One or more embodiments of a document organization system quickly and conveniently provide digital documents to a user on a client device based on a physical object. In particular, the document organization system can receive an image of a physical document and an identifier from a first client device, identify digital documents that match the physical document, and provide the matching digital documents to a second client device, which displays the identifier. In another embodiment, the document organization system allows a user to bind digital documents to a physical object and later recall the digital documents using the physical object. In addition, the document organization system can store and recall the layout arrangement of digital documents on a client device when binding and recalling the digital documents to the physical object.

Abstract: An authorization flow management system provides multiple authorization options to a user when conducting an authorization event. The system provides options to a user during an authorization event to select a preferred interaction path without integrating the process into a merchant system. The system receives a request from a merchant computing device to authorize an interaction with a user and provides instructions to a user computing device to open a window on a user interface to receive a security code and to display options to select from one of at least two interaction paths, such as paying with rewards points or with an equal payment plan. When the user communicates a response to the opened window that selects one of the interaction paths and the communicated code, the system conducts the interaction utilizing the selected interaction path and communicates an authorization for the interaction to the merchant computing device.

Abstract: An authorization flow management system provides multiple authorization options to a user when conducting an authorization event. The system provides options to a user during an authorization event to select a preferred interaction path without integrating the process into a merchant system. The system receives a request from a merchant computing device to authorize an interaction with a user and provides instructions to a user computing device to open a window on a user interface to receive a security code and to display options to select from one of at least two interaction paths, such as paying with rewards points or with an equal payment plan. When the user communicates a response to the opened window that selects one of the interaction paths and the communicated code, the system conducts the interaction utilizing the selected interaction path and communicates an authorization for the interaction to the merchant computing device.

Abstract: One or more embodiments of a content system provide machine-learned storage location recommendations for storing content items. Specifically, an online content management system can train a machine-learning model to identify a storage pattern from previously stored content items in a plurality of storage locations corresponding to a user account of a user. Training the machine-learning model includes training a plurality of classifiers for the plurality of storage locations. The online content management system uses the classifiers to determine whether a content item is similar to the content items in any of the storage locations, and based on the output of the classifiers, provides graphical elements indicating recommended storage locations within a graphical user interface. The user can select a graphical element to move the content item to the corresponding storage location.

Abstract: An embodiment provides for dynamic data extraction based on key influencing factors. The embodiment preprocesses data comprises key influencing factors from authentic sources. and extracts relevant features from the data. The embodiment represents key characteristics of the key influencing factors based on the relevant features and detects changes in the key influencing factors based on contextual shifts in the key influencing factor. The embodiment dynamically adjusts a data extraction process based in part on the contextual shift in the key influencing factor and identifying a top key influencing factor by analyzing data source. The embodiment classifying and ranking a first dataset from the data source based on the top key influencing factor and prioritizing a processing pipeline for the first dataset. The embodiment cloning the processing pipeline for a second dataset and provides an interface, via a consumption layer, for interacting with the first and second datasets.

Abstract: A method for recovering high-purity naphthalene from a Rerun Column bottom residue is disclosed. The process begins with collecting the residue and dividing it into two portions. One portion is maintained at room temperature, while the second is cooled to approximately 16° C. to initiate the selective solidification of naphthalene. Upon gradual warming of the cooled portion to ambient temperature over 3-4 hours, a clear separation between solid naphthalene and the liquid residue is achieved. The liquid layer is decanted, and the remaining solid fraction is filtered using Whatman-1 filter paper with tissue paper to absorb residual liquids. The recovered crystals are washed 3-4 times with water to eliminate impurities and dried in a hot air oven at 100±2° C. for 2 hours. Final settling at room temperature yields dry, white crystalline naphthalene with a melting point of 80.2° C., a purity of 97.27%, and a recovery efficiency of 77.7%.

Abstract: Systems and methods are disclosed herein for selective audio segment compression for accelerated playback of media assets. A playback speed of the video segment of a media asset is calculated based on the duration of the video segment and a received playback time period. A priority weight for each of the various audio segments is then determined. The audio segments with the lowest priority weight are removed from the group of various audio segments. The system then determines whether the duration of the remaining audio segments exceeds the received playback time period. If so, the system modifies the remaining audio segments by removing another audio segment with the lowest priority weight from the remaining audio segments. The system then rechecks whether the received playback time period is exceeded. If not, the system generates for playback the video segment based on the video playback speed and the remaining audio segments.

Abstract: Examples described herein relate to a method and a network analyzer configured to report a probable cause of errors in a microservice environment. In some examples, the network analyzer may identify an impacted service that reported an error. Further, the network analyzer identifies one or more upstream services related to the impacted service based on a service dependency between the one or more upstream services and the impacted service. Furthermore, the network analyzer identifies at least one modification in one or more of the impacted service or the one or more upstream services based on respective versions of the impacted service and the one or more upstream services, then reports a set of candidate modifications selected from the at least one modification as probable causes of the error.

Abstract: An authorization flow management system provides multiple authorization options to a user when conducting an authorization event. The system provides options to a user during an authorization event to select a preferred interaction path without integrating the process into a merchant system. The system receives a request from a merchant computing device to authorize an interaction with a user and provides instructions to a user computing device to open a window on a user interface to receive a security code and to display options to select from one of at least two interaction paths, such as paying with rewards points or with an equal payment plan. When the user communicates a response to the opened window that selects one of the interaction paths and the communicated code, the system conducts the interaction utilizing the selected interaction path and communicates an authorization for the interaction to the merchant computing device.

Abstract: An authorization flow management system provides multiple authorization options to a user when conducting an authorization event. The system provides options to a user during an authorization event to select a preferred interaction path without integrating the process into a merchant system. The system receives a request from a merchant computing device to authorize an interaction with a user and provides instructions to a user computing device to open a window on a user interface to receive a security code and to display options to select from one of at least two interaction paths, such as paying with rewards points or with an equal payment plan. When the user communicates a response to the opened window that selects one of the interaction paths and the communicated code, the system conducts the interaction utilizing the selected interaction path and communicates an authorization for the interaction to the merchant computing device.

Abstract: This disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that can detect scene types across various portions of media content and display collections that organize segments (or portions) of media content (e.g., videos or images) according to the detected scene types for the media content files. For example, the disclosed systems can automatically identify content segments of media content that belong to one or more identified scene types and display the content segments organized by the different scene types. In order to determine the scene types for the content segments of the media content files, the disclosed systems can utilize machine learning that determines relevancies between data of the media content files and the scene types. Furthermore, the disclosed systems can display, within a GUI, the groupings of media content segments organized by the different scene types.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for optimizing resource allocation for an organization. More particularly, embodiments of the present disclosure utilize multiple data sets to enable organizations to make intuitive business decisions and plan resources accordingly. To do so, various data is collected at a resource engine that utilizes the data to determine resource utilization, occupancy density, and a recommendation. In various embodiments, the resource utilization, occupancy density, and a recommendation may be provided to a user as an alert, a report, or a user interface. The user interface may additionally enable the user to apply the recommendation. In some embodiments, the recommendation may be automatically applied or the user may be directed to perform the recommendation. The alert, report, or user interface may additionally inform the user of the impact of performing or not performing the recommendation.

Abstract: Systems and methods are disclosed herein for selective audio segment compression for accelerated playback of media assets by service providers. A playback speed of the video segment of a media asset is calculated based on the duration of the video segment and a received playback time period. The system receives audio segments and corresponding priority weights. The audio segments with the lowest priority weight are removed from the group of various audio segments. The system then determines whether the duration of the remaining audio segments exceeds the received playback time period. If so, the system modifies the remaining audio segments by removing another audio segment with the lowest priority weight from the remaining audio segments. The system then rechecks whether the received playback time period is exceeded. If not, the system generates for playback the video segment based on the video playback speed and the remaining audio segments.

Abstract: The invention relates to a method for determining a height map of a surface of a sample through white light interferometry wherein use is made of a white light interferometer with a broad band light source and an optical sensor including pixels. The invention further relates to a white light interferometer including a broad band light source, an optical sensor including pixels and a processor configured for performing the method of the invention. The invention further relates to a digital data carrier including a computer program which, when run on a processor of a white light interferometer according to the invention, causes the white light interferometer to perform the method according to the invention.

Abstract: This disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that can detect scene types across various portions of media content and display collections that organize segments (or portions) of media content (e.g., videos or images) according to the detected scene types for the media content files. For example, the disclosed systems can automatically identify content segments of media content that belong to one or more identified scene types and display the content segments organized by the different scene types. In order to determine the scene types for the content segments of the media content files, the disclosed systems can utilize machine learning that determines relevancies between data of the media content files and the scene types. Furthermore, the disclosed systems can display, within a GUI, the groupings of media content segments organized by the different scene types.

Abstract: The present disclosure relates to managing services by a managed service provider (MSP) in a cloud based infrastructure. A control plane of the MSP is established in a first tenancy, and a first access plane of the MSP is established in a second tenancy of a cloud environment. The control plane is configured to manage a plurality of services offered by the MSP to a first host machine included in the second tenancy. A first request is transmitted from the control plane to the first access plane, where the first request is forwarded by the first access plane to the first host machine, and corresponds to a service utilized by the first host machine and managed by the control plane of the MSP. In response to the first request being validated, a first state of the first host machine is modified in the second tenancy based on the first request.

Abstract: Generating crowdsourced time-lapse videos is provided. A crowdsource user is guided to a position that is in alignment with a photographic image of a subject matter that was captured by a first camera using an augmented reality device corresponding to a crowdsource user to capture a subsequent photographic image of the subject matter at a time when to capture the subsequent photographic image. A second camera is configured via a network to take the subsequent photographic image of the subject matter based on a configuration of the first camera. The second camera corresponds to the crowdsource user. The subsequent photographic image captured by the second camera is received at the time when to capture the subsequent photographic image via the network for inclusion in a new time-lapse video.

Abstract: Methods and systems for using machine learning systems to create models that define a first tier of initial event case users and user accounts, a second tier of users and user accounts that are interaction counterparties of first tier user accounts, and a third tier of users and user accounts that are interaction counterparties of second tier customer accounts. The processor may then identify first and second tier users and user accounts affiliated with an a fraudulent case history and may classify each first tier user according to risk based on interaction counterparty account links to various second tier users or links to various third tier users via interaction counterparty account links between second and third tier users.

Abstract: Techniques for learning and using content type embeddings. The content type embeddings have the useful property that a distance in an embedding space between two content type embeddings corresponds to a semantic similarity between the two content types represented by the two content type embeddings. The closer the distance in the space, the more the two content types are semantically similar. The farther the distance in the space, the less the two content types are semantically similar. The learned content type embeddings can be used in a content suggestion system as machine learning features to improve content suggestions to end-users.

Abstract: Methods, computer systems, and computer-storage medium are provided for monitoring, analyzing, and providing reports regarding direct access technologies, for example DirectAccess, VPN, or VPN-like technologies. User activity associated with DirectAccess servers can be filtered by server location to allow administrators to determine which users, and how many users, utilized or are utilizing each DirectAccess server, which can be identified by geographic locations. In some cases, this information can be used to address technical support issues or to determine which resources of an entity may be under- or over-utilized.