Abstract: Methods and systems are presented for performing comprehensive and accurate matching of user accounts with one or more known entities based on image-linking graphs. Images related to each known entity are retrieved from one or more online sources. Faces are extracted from the images. Based on attributes of the faces in the images, an image-linking graph is generated for the entity. When a user account is determined to be a potential match for the entity based on text-based attributes, an image associated with the account may be obtained. If the image matches with any one of the faces in the image-linking graph, an action is performed to the user account based on a position of the matched face in the image-linking graph.

Abstract: Unmanned aerial vehicles are provided. In one aspect, the unmanned aerial vehicle includes a four-bar linkage mechanism in mechanical communication with a pair of wings. An electrical subsystem includes an actuator in mechanical communication with the four-bar-linkage mechanism. The actuator is in electrical communication with a capacitor. A plurality of solar panels is in electrical communication with the capacitor, which is configured to harvest non-battery energy from the plurality of solar panels to power the actuator for controlling the four-bar linkage mechanism to operate the pair of wings.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sub-phenotyping acute respiratory distress syndrome (ARDS) patients using machine learning are described. An example system may obtain training data comprising ARDS patient records, determine a number of ARDS patient sub-phenotypes based on the ARDS patient records using latent profile analysis, and then execute an iterative process for determining an optimal ARDS classifier for patient sub-phenotyping. The system may select the optimal ARDS classifier from the optimal modes of the plurality of machine learning classifiers by comparing the performance metrics and deploy the optimal ARDS classifier for ARDS patient sub-phenotyping and providing personalized treatment based on the optimal ARDS classifier.

Abstract: Methods and systems are presented for performing comprehensive and accurate matching of user accounts with one or more known entities based on image-linking graphs. Images related to each known entity are retrieved from one or more online sources. Faces are extracted from the images. Based on attributes of the faces in the images, an image-linking graph is generated for the entity. When a user account is determined to be a potential match for the entity based on text-based attributes, an image associated with the account may be obtained. If the image matches with any one of the faces in the image-linking graph, an action is performed to the user account based on a position of the matched face in the image-linking graph.

Abstract: Methods and systems are presented for performing comprehensive and accurate matching of user accounts with one or more known entities based on image-linking graphs. Images related to each known entity are retrieved from one or more online sources. Faces are extracted from the images. Based on attributes of the faces in the images, an image-linking graph is generated for the entity. When a user account is determined to be a potential match for the entity based on text-based attributes, an image associated with the account may be obtained. If the image matches with any one of the faces in the image-linking graph, an action is performed to the user account based on a position of the matched face in the image-linking graph.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: Methods and systems are presented for performing comprehensive and accurate matching of user accounts with one or more known entities based on image-linking graphs. Images related to each known entity are retrieved from one or more online sources. Faces are extracted from the images. Based on attributes of the faces in the images, an image-linking graph is generated for the entity. When a user account is determined to be a potential match for the entity based on text-based attributes, an image associated with the account may be obtained. If the image matches with any one of the faces in the image-linking graph, an action is performed to the user account based on a position of the matched face in the image-linking graph.

Abstract: Unmanned aerial vehicles are provided. In one aspect, the unmanned aerial vehicle includes a four-bar linkage mechanism in mechanical communication with a pair of wings. An electrical subsystem includes an actuator in mechanical communication with the four-bar-linkage mechanism. The actuator is in electrical communication with a capacitor. A plurality of solar panels is in electrical communication with the capacitor, which is configured to harvest non-battery energy from the plurality of solar panels to power the actuator for controlling the four-bar linkage mechanism to operate the pair of wings.

Abstract: A plurality of first entities have been previously associated with a predefined activity. By performing a clustering algorithm on the first entities, a subset of the first entities is identified that have met a predefined criterion. Via a Natural Language Processing (NLP) technique, a multi-dimensional matrix is generated. The matrix has a plurality of vectors associated with attributes of the subset of the first entities. A neural network model is trained with the multi-dimensional matrix. A plurality of second entities are on a list that contains entities that have been flagged for engaging in, or having engaged, the predefined activity. Based on the trained neural network model, a prediction is made whether scanning the second entities against a plurality of third entities for matches will cause a number of alerts having a predefined characteristic to exceed a predefined threshold. The alerts correspond to matches that needs further investigation.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: Method and apparatus for communicating information regarding distributed generator (DG) systems.