Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for pre-processing dual-channel voice data for an automatic speech recognition mode. The method comprises creating one or more spectrograms for each channel of the dual-channel voice data by applying fast Fourier transform and generating power spectral density. The one or more balanced power spectrograms are created by merging the spectrograms of the channels, and are provided as input for acoustic and language processing by an automatic speech recognition machine learning model.

Abstract: A workpiece plating treatment method includes the steps of cleaning an outer surface of an outer plating layer of a workpiece to remove a plurality of oxides and dirt on the outer surface of the outer plating layer, and reflow melting the outer plating layer of the workpiece using a reflow melting device after the cleaning.

Abstract: Provided herein are methods, systems, computing devices, and/or computing entities for generating a performance metric recommendation by generating an agent group data object for an agent profile; generating an agent assessment data object for the agent profile; generating an inferred performance gap data object for the agent profile; and generating the performance metric recommendation based at least in part on the inferred performance gap data object.

Abstract: Various embodiments of the present disclosure facilitate recommendation prediction using machine learning. In one example, an embodiment provides for generating embeddings data related to one or more provider entities, predicting a set of provider entities for a patient entity based on a provider machine learning model, ranking provider entities in the set of provider entities to generate a ranked set of provider entities, and performing one or more actions to provide a recommendation for the patient entity based on the ranked set of provider entities.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for processing performance metric recommendations for an agent profile.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for processing performance metric recommendations for an agent profile.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for processing performance metric recommendations for an agent profile.

Abstract: Various embodiments of the present disclosure facilitate recommendation prediction using machine learning. In one example, an embodiment provides for generating embeddings data related to one or more provider entities, predicting a set of provider entities for a patient entity based on a provider machine learning model, ranking provider entities in the set of provider entities to generate a ranked set of provider entities, and performing one or more actions to provide a recommendation for the patient entity based on the ranked set of provider entities.

Abstract: Various embodiments provide systems and methods for detecting data abnormalities within data sets relating to a particular agent and comprising both discrete and continuous data features by encoding the one or more discrete features and generating a sequential feature vector representative of both the encoded discrete features and the continuous features, reducing the dimensionality of the generated sequential feature vector to generate a reduced dimension behavioral vector, and comparing the reduced dimension behavioral vector against other reduced dimension behavioral vectors.

Abstract: A system and method in a mobile device for controlling a connected device is disclosed. In one embodiment, the method includes receiving an image; processing the image to identify at least a first image attribute where the first image attribute includes an image feature or an image object; accessing a database of connected devices, each connected device in the database being identified by a linked image and being associated with device metadata describing at least a device type of the connected device; comparing the first image attribute with the linked images corresponding to the connected devices stored in the database; identifying a first connected device having a linked image matching the first image attribute; and in response to the identifying, providing a user interface configured to control the first connected device, the user interface including a control function corresponding to the device type of the first connected device.

Abstract: A system and method in a mobile device for controlling a connected device is disclosed. In one embodiment, the method includes receiving an image; processing the image to identify at least a first image attribute where the first image attribute includes an image feature or an image object; accessing a database of connected devices, each connected device in the database being identified by a linked image and being associated with device metadata describing at least a device type of the connected device; comparing the first image attribute with the linked images corresponding to the connected devices stored in the database; identifying a first connected device having a linked image matching the first image attribute; and in response to the identifying, providing a user interface configured to control the first connected device, the user interface including a control function corresponding to the device type of the first connected device.

Abstract: A system and method in a mobile device for providing digital content through an object includes receiving a first image of the object; processing the first image to identify at least a first image attribute; accessing a database of registered objects, each registered object being identified by a linked image and being associated with metadata describing the object; retrieving from the database of registered objects a first registered object having a linked image matching the first image attribute; in response to the retrieving, providing a user interface configured to interact with the first registered object; receiving using the user interface, a digital content; assigning the digital content to the first registered object; designating one or more recipients of the digital content; and storing linking data for the first registered object in the database of registered objects, the linking data associating the digital content to the first registered object.

Abstract: A system and method in a mobile device for controlling a connected device is disclosed. In one embodiment, the method includes receiving an image; processing the image to identify at least a first image attribute where the first image attribute includes an image feature or an image object; accessing a database of connected devices, each connected device in the database being identified by a linked image and being associated with device metadata describing at least a device type of the connected device; comparing the first image attribute with the linked images corresponding to the connected devices stored in the database; identifying a first connected device having a linked image matching the first image attribute; and in response to the identifying, providing a user interface configured to control the first connected device, the user interface including a control function corresponding to the device type of the first connected device.

Abstract: An automated method for aneurysm analysis including: extracting shape descriptors from test vessel data; generating an aneurysm probability map for the test vessel data using the shape descriptors; detecting the presence of the aneurysm on the test vessel data; localizing the aneurysm in the probability map; and separating the aneurysm from the probability map.

Abstract: An automated method for aneurysm analysis including: extracting shape descriptors from test vessel data; generating an aneurysm probability map for the test vessel data using the shape descriptors; detecting the presence of the aneurysm on the test vessel data; localizing the aneurysm in the probability map; and separating the aneurysm from the probability map.

Abstract: A system is configured to receive a list of applications installed on a user device; obtain application profiles that identify risk levels associated with the applications; obtain a user profile that identifies a job level, security risk level, or an access level to confidential information associated with the user of the user device; identify a highest risk level authorized for the user device based on whether the job level is greater than a first threshold, the security risk level is greater than a second threshold, or the access level is greater than a third threshold; determine whether any of the risk levels are greater than the highest risk level; and transmit a notification that one of the applications is to be removed from the user device when one of the risk levels, associated with the one of the applications, is greater than the highest risk level.

Abstract: A device receives, from a user device, a search query for media content within a content delivery network. The device identifies a group of relevant media content in the content delivery network, where the identifying is based on the search query, access restrictions of particular media content within the content delivery network, and/or a capability of the user device to present particular types of media content. The device associates sub-scores with each piece of media content in the group of relevant media content, and calculates a total score, for each piece of media content in the group of relevant media content, based on the sub-scores. The device ranks each piece of media content in the group of relevant media content, based on the total scores for each piece of media content, and sends, based on the search query, a list of the ranked, relevant media content to the user device.

Abstract: A system is configured to receive a list of applications installed on a user device; obtain application profiles that identify risk levels associated with the applications; obtain a user profile that identifies a job level, security risk level, or an access level to confidential information associated with the user of the user device; identify a highest risk level authorized for the user device based on whether the job level is greater than a first threshold, the security risk level is greater than a second threshold, or the access level is greater than a third threshold; determine whether any of the risk levels are greater than the highest risk level; and transmit a notification that one of the applications is to be removed from the user device when one of the risk levels, associated with the one of the applications, is greater than the highest risk level.

Abstract: The present invention provides a shoe having a multi-layer, multi-density midsole where the surfaces between midsole layers have one or more convexities and one or more concavities which collectively contribute to simulating the effect, and imparting the fitness benefits, of walking on a sandy beach or on a giving or uneven surface regardless of the actual hardness of the surface.

Abstract: A shoe having a toe region, a middle region, a heel region, and a multi-layer, multi-density midsole wherein an upper layer of the midsole has a bottom surface that has a longitudinal convexity and a longitudinal concavity, the longitudinal convexity typically occupying a substantial portion of the toe region or a substantial portion of the toe region and middle region, and the longitudinal concavity typically occupying a substantial portion of the heel region, the longitudinal convexity and the longitudinal concavity collectively contributing to simulating the effect, and imparting the fitness benefits, of walking on a sandy beach or on a giving or uneven surface regardless of the actual hardness of the surface.