48results about How to "Fast and accurate result" patented technology

A dynamically generated small grammar is used for text editing using voice commands in a hand-held electronic device where memory requirements do not allow a large grammar to be used. However, the text is dictated using a large grammar, which can reside in the electronic device or in a remote site. When an editing session begins, words in the dictated text are added to the small grammar. As such, words to be deleted or replaced can be located, for example. When a voice command calls for a text-modifying word, the text-modifying word is obtained from the small grammar if possible. Otherwise it is obtained from the large grammar. During the editing session, as more text-modifying words are used to modify the text, these words are also added to the small grammar. At the end of the editing session, the dynamically generated part of the small grammar is removed.

Detailed resource information, including a resource preference indication, may be stored for a set of potentially available resource units. The system may store, for each resource unit, at least one performance metric score value. For each resource unit, a back-end application computer server may automatically access the performance metric score value in a resource performance metric computer store. Based on the at least one performance metric score value, the back-end application computer server may automatically update a state of the resource preference indication in an available resource computer store and automatically arrange to adjust at least one output parameter in accordance with the updated state of the resource preference indication. According to some embodiments, a diagnosis grouping platform groups similar claims handled by the panel of medical service providers, and a rating platform reviews performance of each medical service provider in the panel based on groups of similar claims.

Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

An unmanned aerial vehicle interactive apparatus based on a deep learning posture estimation is provided. The apparatus (10) comprises: a shooting unit (11) for shooting an object video; a key frame extraction unit (12) for extracting a key frame image relating to an object from the shot object video; a posture estimation unit (13) for recognizing an object posture with respect to the key frame image based on an image recognition algorithm of a deep convolutional neural network; and an unmanned aerial vehicle operation control unit (14) for converting the recognized object posture into a control instruction so as to control the operation of the unmanned aerial vehicle. A human posture estimation is used to control the unmanned aerial vehicle conveniently. Moreover, in the key frame extraction and posture estimation, faster and more accurate results can be obtained by using the deep convolution neural network algorithm.

Disclosed are systems for and methods of registering (i.e., aligning) a deformable image with a reference image subject to a spatially variant flexibility model and / or a non-Gaussian smoothing model. These systems and methods allow for the consideration of differences between the ways in which structures of interest may move within a patient. The registration includes modifying the deformable image to match similar features in the reference image. The systems include a deformation engine configured for performing a deformation algorithm subject to the spatially variant flexibility and / or smoothing models.

A motion control apparatus for measuring and scanning an object. The motion control apparatus includes a base. The motion control apparatus also includes an object support assembly that is coupled to the base. The object support assembly receives the object to be scanned and measured. The motion control apparatus includes a scanner track that extends above from the base. The scanner and object are moveable about multiple axes to position to the scanner with respect to the object for viewing the object by the scanner for obtaining measurements of the object.

A data processing system and method for assisting in searching items on Internet and to a method related to invoicing a user based on the action taken on the search results. An optimized transactional process for the selection of an appropriate parameter for action and the take decision on the basis of results obtained. For example in a robotic control, technical process control in an industrial environment, database searches and analysis in respect of trademarks, or in a control military defence hardware. The system offers a search service configured to check if a user took action on the search result it is configured to invoice the user for example, a searched new trademark was later registered by a searcher, and invoice the searcher later if the trademark was registered afterwards.

Disclosed are systems for and methods of registering (i.e., aligning) a deformable image with a reference image subject to a spatially variant flexibility model and / or a non-Gaussian smoothing model. These systems and methods allow for the consideration of differences between the ways in which structures of interest may move within a patient. The registration includes modifying the deformable image to match similar features in the reference image. The systems include a deformation engine configured for performing a deformation algorithm subject to the spatially variant flexibility and / or smoothing models.

According to some embodiments, an automated resource allocation interface may receive, for a plurality of resource allocation categories, a selected sub-category from a set of potential sub-categories. Based on the selected sub-categories, a resource allocation score may be calculated, and the enterprise system may be assigned to a resource allocation level. A back-end application computer server may access electronic records representing a plurality of potential associations and, for each potential association, a set of attribute variables. Based on the set of attribute variables, a present total number of associations may be generated. Based on the assigned resource allocation level and the set of attribute variables, a future change to the total number of associations may be forecast. Based on the forecasted future change to the total number of associations, a predicted performance value associated with the enterprise system may be calculated and transmitted to generate a user interface display.

According to some embodiments, an automated scoring analysis computer may access information in a historical data store, including sets of attribute values and prior results for a plurality of prior associations, to create a scoring model. An indication of a selected potential association from a potential association data store may be received, including a set of attribute values. The scoring analysis computer may then calculate a risk score for the selected potential association based on the scoring model. A front-end application computer server may automatically select a workflow path from a plurality of potential workflow paths.

A data store may contain electronic records representing a plurality of potential associations and, for each potential association, an electronic record identifier and a set of attribute values. An automated electronic record classification computer may classify electronic records from the data store into sub-sets of related records. An automated scoring analysis computer may retrieve, for each electronic record in a classified sub-set, the set of attribute values and calculate at least one attribute analysis score (based on attribute values of other electronic records in the same sub-set). A back-end application computer server may retrieve attribute values along with an attribute analysis score associated with an electronic record of interest and automatically retrieve third-party data. Data associated with an interactive user interface display, including the at least one attribute analysis score and the third-party data, may then be via a distributed communication network.

An existing risk relationship data store may contain electronic records representing a plurality of existing risk relationships and, for each existing risk relationship, an electronic record identifier and a set of existing attribute values including an existing resource value. A back-end application computer server may receive an indication of a selected risk relationship and display at least some of the associated existing attribute values. The server may receive adjustments to some of the existing attribute values, and displayed information may be automatically and dynamically configured based on the received adjustments and a pre-determined logic rule. When an adjusted attribute value differs from an existing attribute value by more than a threshold amount, a confirmation signal from a user device may be requested. When adjustments have been completed, the server may automatically estimate an adjusted resource value based on the existing resource value, the adjusted attribute values, and an estimation algorithm.

A method and system for managing carrier vessel information are provided. A carrier path and shipment planning system receives carrier information associated with individual carrier vessels from a plurality of carrier information sources. Based on the carrier information the carrier path and shipment planning system processes the carrier information to form complete path scenarios. The carrier path and shipment planning system associates control rules to the complete path scenarios to determine one or more candidate paths. The carrier path and shipment planning system can then generate various interfaces for identifying selected, ranked paths, information associated with a competitive marketplace and availability information for contracting for cargo shipment. A user can then further manipulate the user interfaces for scenario planning or filtering available selections.

A motion control apparatus for measuring and scanning an object. The motion control apparatus includes a base. The motion control apparatus also includes an object support assembly that is coupled to the base. The object support assembly receives the object to be scanned and measured. The motion control apparatus includes a scanner track that extends above from the base. The scanner and object are moveable about multiple axes to position to the scanner with respect to the object for viewing the object by the scanner for obtaining measurements of the object.

A system to provide an automated risk analysis tool via a back-end application computer server of an enterprise may include an existing risk relationship data store containing electronic records that represent a plurality of existing risk relationships between the enterprise and a plurality of users (e.g., an electronic record identifier and a set of historic resource values associated with risk attributes). The system may receive an indication of a selected risk relationship between the enterprise and a selected entity and retrieve the electronic record associated with the selected risk relationship. The system can then receive an indication of a user selected revenue base for a most recent evaluation time period along with a user selectable normalization parameter. Historic resource values may be normalized based on the received user selectable normalization parameter and then be output to support an interactive display including entity risk information.

A system to provide an automated risk relationship resource allocation tool via back-end application computer server of an enterprise. A resource allocation data store may contain electronic records representing requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation and retrieve, from the resource allocation data store, the electronic record associated with the selected requested resource allocation. The server may execute a machine learning algorithm to generate an overall score for the selected requested resource allocation and generate a request health index via an analytic model for the entity associated with the selected requested resource allocation. The system may then support a graphical interactive user interface display via a distributed communication network, the interactive user interface display providing resource allocation data including the overall score and the request health index.

The present invention provides self-driven AI based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.

Mediums, apparatus, computer program code, and means may be provided to customize electronic records associated with a distributed communication network via an automated back-end application computer server. According to some embodiments, a relational database management system database and a plurality of database tables linked to the relational database management system database may be accessed. The back-end application computer server may retrieve electronic record layout information and utilize pre-determined logic associated with the plurality of linked tables, including logic that matches multiple pointers within a single pair of linked tables, to automatically insert accessed data into a customized electronic record in accordance with the electronic record layout information. The customized electronic record may then be transmitted to be rendered via an interactive user interface display.

Mediums, apparatus, computer program code, and means may be provided to assign electronic records to verification process subset levels via an automated back-end application computer server. According to some embodiments, the server may access a data store having electronic records that represent a plurality of risk associations and, for each risk association, a set of attribute variables. Based on the set of attribute variables and a predictive model, the server may predict a future amount for each of the electronic records. Based on the future amounts, the server may automatically assign each of the electronic records to: a first level verification process subset, a second level verification process subset, or a third level verification process subset. The server may then create a results log and transmit indications associated with the results log to generate an interactive user interface display.

Some embodiments are directed to an automated transaction-based risk assignment. A risk relationship data store may contain electronic records that represent a plurality of risk relationships between an enterprise and a plurality of entities, and each record may include a relationship identifier and attribute resource values associated with risk attributes. A back-end application computer server may receive an indication of a transaction between a first and second entity and interact with the first entity to create a definition document for the transaction. The server may also receive from the first entity an indication that a transaction-based risk relationship should be created with the enterprise in connection with the transaction. Responsive to the received indication, the server may automatically establish attribute resource values associated with risk attributes based on data in the definition document and store the established attribute resource values associated with risk attributes in the risk relationship data store.

An original risk relationship data store may contain records representing potential risk relationships (and each record may include an identifier and original risk attribute values). An adjusted risk relationship data store may contain records representing the plurality of potential risk relationships and at least some risk attribute values may have been adjusted from the original risk attribute value. A computer server may receive, from a remote user device, a selected potential risk relationship and retrieve the appropriate records from the original and adjusted risk relationship data stores. The server may then execute a comparison tool to automatically identify risk attribute values from the adjusted risk relationship data store that differ from the original risk attribute values and flag those values to the remote user device. After receiving information to explain each difference, a summary of the automatically identified risk attribute values, including the information to explain each difference, may be transmitted.

A planned resource allocation data store may contain electronic records representing a plurality of planned resource allocations for an enterprise. An actual resource allocation data store may contain electronic records representing a plurality of actual resource allocations. A back-end application computer server may receive, from a remote user device associated with a first user identifier, data about planned and actual resource allocations and update the data stores. The computer server may also receive an indication of a period of time to be analyzed and access information in the planned and actual resource allocation data stores associated with the first user identifier and the period of time. A total planned occupancy value and a total actual occupancy value may then be calculated and displayed via an interactive user interface based on the accessed information.

Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

According to some embodiments, a risk relationship data store may contain electronic records, each electronic record representing a risk relationship between an enterprise and a risk relationship provider (e.g., an insurer), and including, for each risk relationship, an electronic record identifier and a set of roof attribute values. A back-end application computer server may receive, from a third-party data source, roof information for a roof of a building associated with a risk relationship. The computer server may then correlate the received roof information with a particular electronic record in the risk relationship data store. A roof attribute value of the particular electronic record may be updated in accordance with the roof information received from the third-party data source, and a predictive analytics engine of the computer server may then calculate a roof risk score associated with the particular electronic record.

The invention provides a method of analysing the consistency of stool, including the steps of: providing stool of an infant, capturing, with a portable device comprising a camera, an image of the stool, providing the captured image to an input layer of a pre-trained convolutional neural network, CNN, processing the captured image using the CNN to obtain, from a final layer of the CNN, a classification vector and to obtain information about a predicted score from the classification vector, wherein at least the final layer of the CNN has been customized so that each element of the classification vector corresponds to a score of a stool analysis scale, and storing information about the predicted store.

Embodiments may be associated with a network status insight system implemented via a back-end application computer server. A network provider data store may contain electronic records, each electronic record representing a network provider of an enterprise. An enterprise data store may contain electronic records, each electronic record representing a remote analysis entity of the enterprise (e.g., a remote employee or worker). The computer server may receive, from the enterprise data store, information about analysis entities of the enterprise and, from the network provider data store, information about networks used by the enterprise. The computer may also receive, from a third-party outage detector platform information about outages associated with the enterprise (e.g., network outages and / or power outages). A network status algorithm may then be applied to correlate the received information to generate enterprise network status results (e.g., for display on an insight dashboard and / or a risk assessment prediction for the enterprise).

A data analytics system may include a first risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a first risk relationship provider. Similarly, a second risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a second risk relationship provider. A back-end application computer server may include a data mining engine that analyzes a set of electronic records in the first and second risk relationship data stores to identify flags corresponding to risk drivers. A predictive analytics engine may then calculate a risk score associated with the set of electronic records based on the associated entity attribute values and the identified flags corresponding to risk drivers. An insight platform may automatically generate a recommended action for the enterprise to lower the calculated risk score.

A system to provide a risk relationship transaction automation tool via a back-end application computer server of an enterprise. The system may include a risk relationship data store that contains electronic records representing transactions associated with requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation transaction and retrieve, from the risk relationship data store, the electronic record associated with the selected requested resource allocation transaction. The server may then execute a medical code decision model. According to some embodiments, the system may also support a graphical interactive user interface display via a distributed communication network, the interactive user interface display providing resource allocation transaction data.

A computer server may receive an indication of a selected potential relationship and retrieve, from a use case configuration data store, an electronic record for that relationship. The first entity may then construct computer system configurations in accordance with use case parameters. The computer server may be used to evaluate the constructed computer system configurations, and an entity score result for the first entity may be stored into the use case configuration data store. The computer server may also retrieve, from a quality function deployment data store, an electronic record associated with the first entity and update a uniform scoring matrix by assigning weighted score values for the first entity in connection with a set of platform capabilities. An entity selection tool may be executed to automatically select a recommended entity based on the score results and scoring matrixes, and an indication of the recommended entity may be transmitted.