Abstract: A provider computing system can include at least one processing circuit having at least one processor coupled to at least one memory device. The at least one memory device can store instructions thereon that, when executed by the at least one processor, cause the at least one processing circuit to detect initiation of a session to access an account by a user device of a user, detect correlations between an event and one or more previous occurrences of one or more events similar to the event, generate a plurality of actions to address the event, transmit one or more signals to cause the user device to display a user interface including selectable elements to indicate the plurality of actions, receive an indication of a selection of a selectable element of the selectable elements, and implement an action to address the event.

Abstract: A vent assembly for use with an oven. The vent assembly includes polymeric end caps that are ultrasonically molded to a metal bracket. The metal bracket is coupled to a lower fin and an upper fin. The polymeric end caps include support surfaces for holding sections of the lower fin, the upper fin, and the metal bracket.

Abstract: Embodiments of the disclosure are directed to advanced integrated circuit (IC) structure fabrication and, in particular, to IC structures with graphene contacts. Other embodiments may be disclosed or claimed.

Abstract: A method, user device, and computer-readable storage media for registering and activating accounts is provided. A method includes: transmitting, by a user device to a computing system, an input from a user regarding opening an account at an institution associated with the computing system; establishing, by the user device, a communication session based on exchanging encryption keys between the user device and the computing system; in response to establishing the communication session, automatically installing, by the user device, a client application; displaying, via the client application on the user device, a graphical user interface (GUI) comprising a request for a user verification; transmitting, by the user device via the communication session, a received user verification to the computing system; and receiving, by the user device, an indication of an activation of the account at the institution from the computing system.

Abstract: A method, system, and computer program product for automated artificial intelligence (AI) factsheet generation for modeling and model customization in speech to text (STT) services. The method receives audio data for a user. The audio data contains human speech. Text data is generated, using a first speech to text model, to represent the human speech of the audio data. A set of transcription errors of the first speech to text model are identified. A set of AI factsheets are generated to describe model metadata for the first speech to text model. Based on the set of transcription errors and the set of AI factsheets, the method generates a second speech to text model customized to the user.

Abstract: Described herein are fouling control compositions including cationic alkyl polyglycosides to reduce microbial and/biofilm growth in a water system. The described compositions and methods of using the same are found to be more effective than those methods or compositions including commonly used single quaternary compounds for reducing microbial or biofilm growth in water systems.

Abstract: A system and method for outbound call campaign management model in a contact center using a generative artificial intelligence which processes prompts such as “Schedule a follow-up call with client X,” understanding intent and context. Leveraging pre-trained language understanding, it interfaces with campaign components, scheduling calls or updating client information. The model dynamically adapts to varying scenarios, enhancing efficiency and personalization. The system employs secure interfaces, integrates with contact center tools, and undergoes continuous improvement through periodic retraining, ensuring optimal performance and compliance with evolving campaign requirements. Overall, it streamlines outbound call operations, automating actions and facilitating smoother interactions for a more productive and customer-centric contact center environment.

Abstract: The present invention relates to a method for thermal video surveillance based on an Encoder-Decoder-induced feature pooling module. The method is explained as follows: An input thermal image that is to be processed, by a pre-trained ResNet-152 deep learning network, wherein the network comprises several convolutional layers, batch normalization layers, and a rectified linear unit (ReLU) function to extract features at low, mid and high levels, and the in-depth target features; receiving, by a feature pooling module (FPM), from the deep learning network, wherein the feature pooling module comprises of a max pooling layer, a convolutional layers, and various atrous convolutional layers for extracting the target features in higher dimensional features space at multi-scales; obtaining higher dimensional features space by a decoder network, wherein the decoder network is configured to project the higher dimensional features into image space for the generation of a probability mask.

Abstract: A method for detecting and processing egress inter-PLMN SBI request messages without 3gpp-Sbi-Originating-Network-Id headers includes receiving, by a proxy NF serving a plurality of PLMNs, an egress inter-PLMN SBI request message without an 3gpp-Sbi-Originating-Network-Id header. The method further includes determining an originating network identifier from the message, from DNS, or from a database record. The method further includes adding a 3gpp-Originating-Network-Id header to the message, populating the header with the originating network identifier, and forwarding the message to or towards a target PLMN.

Abstract: A semantic similarity based configurable system for automatic scenario detection in customer-agent conversations is disclosed. The system understands intent from the vector space semantic similarity between speaker sentences, which is agnostic to the use of synonyms and tolerates a large amount of paraphrasing. This approach scales easily to a large number of customers and can be fed more data to increase accuracy and precision. Furthermore, the system is configurable in real-time so that the client is able to control which intents are detected and how. In some embodiments, the semantic similarity based configurable system comprises a scenario detection system, a conversation tag system, a bi-encoder, and a cross-encoder, where the scenario detection system receives inputs of sample phrases and customer-agent utterances and generates results. The sample phrases may be phrases and keywords that describe a scenario expressing the behavior of a customer or call agent.

Abstract: Systems and methods for peer-to-peer secure document exchange are disclosed. The system may allow a document provider to securely transmit a certified document to a document verifier using decentralized storage. The verifier system may generate a session key pair and transmit a session public key to a trusted API provider. The trusted API provider may generate a session nonce. The verifier system may transmit the session nonce to the provider system. The provider system may use the session nonce to retrieve the session public key. The provider system may encrypt a certified document using the session public key and store the encrypted certified document in the decentralized storage. The verifier system may retrieve the encrypted certified document by polling the trusted API provider based on the session nonce. The verifier system may decrypt the encrypted certified document using the session private key.

Abstract: A method for automatically generating and distributing firewall rules to filter service-based interface (SBI) messages relating to new or updated services includes maintaining a repository of firewall rules for updating a ruleset used by a core network firewall to filter SBI messages transmitted in a core network. The method further includes automatically retrieving, from an online archive of Third Generation Partnership Project (3GPP) standards documents, definitions of service operations performed on SBI interfaces in the core network. The method further includes automatically generating firewall rules based on the definitions of the service operations. The method further includes storing the firewall rules in the repository of firewall rules. The method further includes automatically distributing the firewall rules in the repository of firewall rules to the core network firewall.

Abstract: Methods, systems, and computer program products for cognitive disambiguation of problem-solving tasks involving a power grid are provided herein. A computer-implemented method includes capturing user feedback pertaining to relevance of remote terminal unit measurements related to a grid event through user interface interactions carried out by the user, wherein the user interface is communicatively linked to at least one computing device; automatically inferring rules related to the grid event to curate remote terminal unit measurements across iterations of analysis by recognizing irrelevant data and/or distractions in a visual display associated with the user interface, wherein said automatically inferring comprises implementing machine learning via the at least one computing device based on the user feedback; and outputting candidate solutions to a problem-solving task involving the grid based on the inferred rules, wherein said outputting is carried out by the at least one computing device.

Abstract: At least one example embodiment provides a computer-implemented method for evaluating at least one image data set of an imaging region of a patient, wherein at least one evaluation information describing at least one medical condition in an anatomical structure of the imaging region is determined.

Abstract: A semantic similarity based configurable system for automatic scenario detection in customer-agent conversations is disclosed. The system understands intent from the vector space semantic similarity between speaker sentences, which is agnostic to the use of synonyms and tolerates a large amount of paraphrasing. This approach scales easily to a large number of customers and can be fed more data to increase accuracy and precision. Furthermore, the system is configurable in real-time so that the client is able to control which intents are detected and how. In some embodiments, the semantic similarity based configurable system comprises a scenario detection system, a conversation tag system, a bi-encoder, and a cross-encoder, where the scenario detection system receives inputs of sample phrases and customer-agent utterances and generates results. The sample phrases may be phrases and keywords that describe a scenario expressing the behavior of a customer or call agent.

Abstract: A new and distinct cultivar of Sansevieria plant named ‘HANSOTI55’ is disclosed, characterized by a dark grey-green marginal band 2 to 17 mm wide but occasionally up to 25 mm wide on both edges of the leaf. These dark bands along the edge give attractive definition to the leaf and the added green makes for a stronger plant. The dark foliage also has bright cream variegation with a broad central lighter grey-green band along the length of the leaf overlaid or veiled by a creamy overlayer, giving excellent colour to the plant Leaves of mature plants are less erect compared to the parent and even more reclined when compared to most other Sansevieria in the “Compact Sansevieria Group”. The new cultivar can be classified in the Compact Sansevieria Group. The new variety is a Sansevieria, typically produced as an ornamental plant.

Abstract: A new and distinct cultivar of Sansevieria plant named ‘HANSOTI56’ is disclosed, characterized highly variegated foliage with an overall bright creamy yellow coloration of the leaf and a contrasting, broad central greyish-green band. The new cultivar can be classified in the Compact Sansevieria Group type Sansevieria and reaches about 25 to 30 cm in height at maturity, making it a shorter cultivar in this group. Plants are ready to sell in about 3 to 4 months from a rooted liner, having 10 to 15 leaves. Foliage is softer, thinner and more pliable than typical in the Compact Sansevieria Group. The new variety is a Sansevieria, typically produced as an ornamental plant.

Abstract: A new and distinct cultivar of Sansevieria plant named ‘HANSOTI57’ is disclosed, characterized by foliage with a dark grey-green marginal band of 2 to 12 mm wide, occasionally up to 15 mm wide and a bright creamy yellow marginal band of 3 to 10 mm wide. Between these dark green bands is a broad band of distinctive greyed-green and cream striations. Between the green bands along the margin and the central and is a zone of bright creamy green of varying width. The new cultivar can be classified in the Compact Sansevieria Group type Sansevieria and reaches about 20 to 25 cm in height at maturity, making it a shorter cultivar in this group. Saleable plants have 7 to 9 leaves at 3 to 4 months old. The new variety is a Sansevieria, typically produced as an ornamental plant.

Abstract: A new and distinct cultivar of Sansevieria plant named ‘HANSOTI58’ is disclosed, characterized by bright cream variegated foliage with broad central lighter grey-green band along the length of the leaf, veiled by a creamy overlayer and a base cream background color of the leaf between the border bands and the central band. Foliage has a prominent, dark grey-green marginal band, 2 to 15 mm wide but occasionally up to 25 mm wide distinguishes this invention from its parent ‘Ghost’ and adds significant photosynthetic capacity and so strength and growth speed to this new cultivar compared to ‘Ghost’. The new cultivar can be classified in the Compact Sansevieria Group. The new variety is a Sansevieria, typically produced as an ornamental plant.

Abstract: A new and distinct cultivar of Sansevieria plant named ‘HANSOTI60’ is disclosed, characterized by unique terete light grey-green foliage with darker green linear markings in the form of green rings or bands along the circumference of the leaf, contrasting with the light silvery-grey-green background. Tips are somewhat stiff, soft, and non-aggressive. ‘Hansoti60’, unlike most commercial Sansevieria cultivars known to the Inventor, comes true to type from adventitious shoots from leaf cuttings and the resulting pups are of a rosette form even when just few weeks old and quite small so they can be used in various smaller size pots Overall, ‘Hansoti60’ presents as a silvery light grey-green, rather stiff, terete leaved pot plant. The new cultivar can be classified in the “Novelty Sansevieria Group”. The new variety is a Sansevieria, typically produced as an ornamental plant.