Abstract: An example method includes receiving training data for training of a machine learning model. The training data includes a plurality of pairs of datasets. Each of the pairs of datasets includes a reference dataset and a sample dataset. The reference dataset is indicative of first results of a first plastic sample analysis and the sample dataset is indicative of second results of a second plastic sample analysis. Each of the pairs of datasets further includes an indication, for each of the pairs of datasets, that features of the sample dataset and the reference dataset are a match. The method further includes training a machine learning model based on the training data to determine matches between datasets. The method further includes receiving a new sample dataset. The method further includes determining, using the trained machine learning model, that the new sample dataset matches another dataset.

Abstract: Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.

Abstract: Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.

Abstract: Systems and methods for using machine learning to dynamically assess performance of products and suppliers in the marketplace are disclosed. According to certain aspects, an electronic device may train a plurality of intermediate machine learning models and an aggregate machine learning model using various marketplace data associated with products and suppliers. The electronic device may analyze information associated with a given product or a given supplier using the trained machine learning models to predict a performance of the product or supplier, as well as determine various recommendations associated with the design, testing, inspection, and/or distribution of products.

Abstract: Systems and methods for dynamically determining potentially applicability of product regulation updates to product profiles. According to certain aspects, an electronic device may access new or updated product regulation updates for various jurisdictions as well as product profiles associated with certain products. The electronic device may employ various data analysis technologies to determine which product regulation updates are potentially applicable to which product profiles. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, make selections, and interface and integrate with external systems to exchange information and insights.

Abstract: Systems and methods for dynamically determining potentially applicability of product regulation updates to product profiles. According to certain aspects, an electronic device may access new or updated product regulation updates for various jurisdictions as well as product profiles associated with certain products. The electronic device may employ various data analysis technologies to determine which product regulation updates are potentially applicable to which product profiles. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, make selections, and interface and integrate with external systems to exchange information and insights.

Abstract: Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.

Abstract: A system and method for monitoring and alerting of a working equipment proximity to a utility system. The invention provides a device on the working equipment with sensors and GPS location capabilities to determine location and/or movement event data of the equipment. The invention further includes the establishment of an imaginary buffer boundary established around the utility components to use in combination with the event data to provide a reference for alerts to be triggered. Alerts are automatically provided by the system and method at the working equipment and/or a remote operator dashboard.

Abstract: An automated and intelligent quantitative system and method for assessing risk in infrastructure systems including, but not limited to, gas, electric, water, sewer, transportation, and/or telecommunication systems. The invention incorporates a graph-based data structure of multiple infrastructure systems. The graph-based data structure includes a multi-layered structure with each layer having nodes for components of one of the multiple infrastructure systems, and edge links between related pairs of the nodes. A spatio-temporal and ontological reasoner performs spatial and temporal reasoning on the graph-based data structure to identify nodes of the graph-based data structure likely affected by the new activity event.

Abstract: An automated and intelligent quantitative system and method for assessing risk in infrastructure systems including, but not limited to, gas, electric, water, sewer, transportation, and/or telecommunication systems. The invention incorporates a graph-based data structure of multiple infrastructure systems. The graph-based data structure includes a multi-layered structure with each layer having nodes for components of one of the multiple infrastructure systems, and edge links between related pairs of the nodes. A spatio-temporal and ontological reasoner performs spatial and temporal reasoning on the graph-based data structure to identify nodes of the graph-based data structure likely affected by the new activity event.

Abstract: A system and method for monitoring and alerting of a working equipment proximity to a utility system. The invention provides a device on the working equipment with sensors and GPS location capabilities to determine location and/or movement event data of the equipment. The invention further includes the establishment of an imaginary buffer boundary established around the utility components to use in combination with the event data to provide a reference for alerts to be triggered. Alerts are automatically provided by the system and method at the working equipment and/or a remote operator dashboard.