Abstract: A rechargeable power source in an autonomous vehicle (AV) adapted to traverse within a pipe network is charged, the charging using mechanical power derived from a flow of material within the pipe network. A sensor in the AV is powered from the charged rechargeable power source. Using power from the rechargeable power source, the AV is caused to traverse within the pipe network.

Abstract: An evapotranspiration mitigation method, system, and computer program product include checking a condition via a first sensor connected to an outside of a device to compute an evapotranspiration level and activating a roof opening of the device to deploy a roof from the device if the evapotranspiration level is greater than a pre-determined threshold.

Abstract: Systems and methods are described for supply chain vulnerability forecasting using external event data is described. The method may include identifying historic data from each entity of a plurality of entities connected in a supply chain, aggregating temporal-based information relating to the entities and to relations among the entities into one or more time periods based on the historic data, training a cognitive prediction model using the aggregated temporal-based information, generating a vulnerability score for each entity, generating a recommendation for at least one entity if the vulnerability score for the at least one entity is above a preset threshold, retraining the cognitive prediction model using changed data of the at least one entity, and adjusting the vulnerability score based on the retraining.

Abstract: A processor-implemented method for providing merchants business advice, the method including: providing a merchant with a dashboard, the dashboard including information related to the merchant's business and a communication link to the merchant's financial institution; receiving a request from the merchant via the dashboard, the request being for a service provided by the merchant's financial institution; processing the request from the merchant by using data about the merchant's business; and providing a response to the request for viewing at the dashboard by the merchant.

Abstract: A user guided data mining system includes: a database storing a network graph comprising a plurality nodes and edges, node attributes for the nodes, and edge attributes for the edges; and a data mining module configured to: request feedback from a user indicating at least one of the node attributes, visualize the network graph considering the indicated attributes, request feedback from the user indicating a part of the visualized network graph and a class of graph mining algorithm, and rank a plurality of different graph mining algorithms of the indicated class based on the indicated part.

Abstract: A user expertise classifying method, system, and computer program product, include analyzing an input by a user based on at least one of vocabulary, orthography, and grammar of the user input, processing user background data obtained from a database, and calculating an expertise score of the user based on the analyzed user input and the processed background data.

Abstract: A user expertise classifying method, system, and computer program product, include analyzing an input by a user based on at least one of vocabulary, orthography, and grammar of the user input, processing user background data obtained from a database, and calculating an expertise score of the user based on the analyzed user input and the processed background data.

Abstract: A mitigation action recommendation method, system, and computer program product, includes building a cognitive machine learning model for a conversational agent, querying a user, via the conversational agent, to create a profile of the user by comparing answers from the user to the cognitive machine learning model to determine missing data, and creating a new query, based on the cognitive machine learning model, to acquire, via the conversational agent, at least some of the missing data from the user to update the profile.

Abstract: A processor-implemented method for providing merchants business advice, the method including: providing a merchant with a dashboard, the dashboard including information related to the merchant's business and a communication link to the merchant's financial institution; receiving a request from the merchant via the dashboard, the request being for a service provided by the merchant's financial institution; processing the request from the merchant by using data about the merchant's business; and providing a response to the request for viewing at the dashboard by the merchant.

Abstract: Vulnerabilities in a supply chain are detected by creating a graphical representation of the supply chain containing a plurality of nodes and a plurality of edges between nodes. Each node is an entity in the supply chain, and each entity has an associated profile of properties for that entity. Each edge represents an interaction between two entities. The set of descriptive properties at each entity in the supply chain and each interaction between two entities are used to determine a current level of vulnerability to perturbations in the supply chain for a plurality of entities in the supply chain. Remedial actions to be taken in the supply chain can then be identified to reduce the current level of vulnerability for at least one entity in the supply chain.

Abstract: Personalized advertising is delivered to a subject at a time when the state of mind of the subject is most receptive to the receipt of advertising such that the content of the advertising is selected based on the state of mind of the subject at the time of delivery. Activities of a subject to receive the advertisement and indicators of physiological status of the subject are monitored, and the monitored activities and indicators of physiological status are used to determine a current state of mind of the subject. The current state of mind of the subject is used to select a delivery time for the advertisement, and the content for the advertisement that is personalized to the subject is selected based on the current state of mind of the subject at the delivery time. The advertisement containing the content is communicated to the subject at the delivery time.

Abstract: A method for surveilling a monitored environment includes classifying an individual detected in the monitored environment according to a role fulfilled by the individual within the monitored environment, generating a trajectory that illustrates movements and locations of the individual within the monitored environment, and detecting when the trajectory indicates an event that is inconsistent with an expected pattern for the role.

Abstract: A user expertise classifying method, system, and computer program product, include analyzing an input by a user based on at least one of vocabulary, orthography, and grammar of the user input, processing user background data obtained from a database, and calculating an expertise score of the user based on the analyzed user input and the processed background data.

Abstract: A system, method and program product for a query-based interface in a cognitive computing platform. A system is provided that includes a query processor that inputs a query for an identified user and determines a set of results for inclusion in a cognitive response based on a set of information sources; a modality selection system that selects an interface modality for the cognitive response based on user profile data and at least one external input; and a response formatting system that determines a response format for the set of results in the cognitive response, wherein the response format is determined based on confidence levels determined from social networking information associated with the identified user.

Abstract: At least one computer processor obtains access to a relationship network and a network of a different kind than the relationship network. The at least one computer processor also obtains a user query and carries out a multiple heterogeneous networks search on the relationship network and the network of the different kind than the relationship network, by executing on the at least one computer processor a multiple heterogeneous network search module, to obtain a ranked output list responsive to the user query.

Abstract: A user guided data mining system includes: a database storing a network graph comprising a plurality nodes and edges, node attributes for the nodes, and edge attributes for the edges; and a data mining module configured to: request feedback from a user indicating at least one of the node attributes, visualize the network graph considering the indicated attributes, request feedback from the user indicating a part of the visualized network graph and a class of graph mining algorithm, and rank a plurality of different graph mining algorithms of the indicated class based on the indicated part.

Abstract: A method for surveilling a monitored environment includes classifying an individual detected in the monitored environment according to a role fulfilled by the individual within the monitored environment, generating a trajectory that illustrates movements and locations of the individual within the monitored environment, and detecting when the trajectory indicates an event that is inconsistent with an expected pattern for the role.

Abstract: A method for surveilling a monitored environment includes classifying an individual detected in the monitored environment according to a role fulfilled by the individual within the monitored environment, generating a trajectory that illustrates movements and locations of the individual within the monitored environment, and detecting when the trajectory indicates an event that is inconsistent with an expected pattern for the role.

Abstract: A method for surveilling a monitored environment includes classifying an individual detected in the monitored environment according to a role fulfilled by the individual within the monitored environment, generating a trajectory that illustrates movements and locations of the individual within the monitored environment, and detecting when the trajectory indicates an event that is inconsistent with an expected pattern for the role.

Abstract: A work process may be implemented based on social and enterprise networks. Candidate workers involved in the work process may be identified. A work-social network may be generated by merging social network information and work network information associated with the candidate workers. An overlap between the work-social network and the work process may be maximized or minimized by ranking the nodes representing the candidate workers in the work-social network. A set of top ranked nodes may be output as a list of selected workers to perform the work process.