Abstract: A computer-implemented method, computer system, and computer program product for threat management. A set of features used by a machine learning model is collected by the computer system to determine a threat type for an access attempt when the access attempt is detected. A cluster is determined, by the machine learning model in the computer system, for the access attempt using the set of features, wherein the machine learning model implements clustering to determine the cluster for the access attempt, and wherein the cluster for the access attempt corresponds to the threat type for the access attempt. A set of actions is performed by the machine learning model in the computer system based on the threat type determined for the access attempt.

Abstract: An apparatus has a memory with processor-executable instructions and a processor operatively coupled to the memory. The apparatus receives datasets including time series data points that are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content, and selects, based on the determined characteristic, a set of entrant forecasting models from a pool of forecasting models stored in the memory. Next, the processor trains each entrant forecasting model with the time series data points to produce a set of trained entrant forecasting models. The processor executes each trained entrant forecasting model to generate a set of forecasted values indicating estimations of the feature of the given entity. Thereafter the processor selects at least one forecasting model from the set of trained entrant forecasting models based on computed accuracy evaluations performed over the set of forecasted values.

Abstract: A computer-implemented method, computer system, and computer program product for threat management. A set of features used by a machine learning model is collected by the computer system to determine a threat type for an access attempt when the access attempt is detected. A cluster is determined, by the machine learning model in the computer system, for the access attempt using the set of features, wherein the machine learning model implements clustering to determine the cluster for the access attempt, and wherein the cluster for the access attempt corresponds to the threat type for the access attempt. A set of actions is performed by the machine learning model in the computer system based on the threat type determined for the access attempt.

Abstract: An apparatus has a memory with processor-executable instructions and a processor operatively coupled to the memory. The apparatus receives datasets including time series data points that are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content, and selects, based on the determined characteristic, a set of entrant forecasting models from a pool of forecasting models stored in the memory. Next, the processor trains each entrant forecasting model with the time series data points to produce a set of trained entrant forecasting models. The processor executes each trained entrant forecasting model to generate a set of forecasted values indicating estimations of the feature of the given entity. Thereafter the processor selects at least one forecasting model from the set of trained entrant forecasting models based on computed accuracy evaluations performed over the set of forecasted values.

Abstract: A microwave appliance provides safe heating of packaged food products at an efficiency greater than 90%. A temperature sensor positioned about a product holder is configured to sense a temperature of the package. A product identification scanner identifies a type of food product, a type of packaging, and/or a size of packaging being inserted into the microwave appliance. The product identification may be used to obtain a dielectric constant and/or electrical conductivity of the product. An electric field detector verifies that a suitable product has been inserted into the microwave appliance and is used to estimate a volume of the packaged food product. Accordingly, even partially full packaged food products may be safely re-heated to a desired temperature. As opposed to a time-based operation with traditional microwave appliances, operation of the microwave appliance may be adjusted based on the product identification scanner, temperature sensor, and electric field detector.

Abstract: The present disclosure relates generally to a beverage nucleator system that can initiate ice crystal nucleation by application of a directed flow of pressurized gas to the exterior of the fluid container containing a supercooled beverage. More specifically, the present disclosure relates to a beverage nucleator system for a supercooled beverage container which may include a frame having a beverage container aperture for receiving a beverage container therein and a gas outlet positioned within the beverage container aperture for directing a flow of pressurized gas at a beverage container received therein.

Abstract: A display device includes a housing with a grid assembly received therein. A plurality of light assemblies is coupled to the grid assembly, for example in a grid pattern to create a dynamic display area. Each of light assemblies has an actuator assembly, with each one of the actuator assemblies being individually controllable to move the corresponding light assembly between a retracted state and a plurality of extended states. A controller is coupled to each of the plurality of light assemblies and programmed to control the actuator assemblies to move the light assemblies between the retracted state and the plurality of extended states.

Abstract: A display device includes a housing with a grid assembly received therein. A plurality of light assemblies is coupled to the grid assembly, for example in a grid pattern to create a dynamic display area. Each of light assemblies has an actuator assembly, with each one of the actuator assemblies being individually controllable to move the corresponding light assembly between a retracted state and a plurality of extended states. A controller is coupled to each of the plurality of light assemblies and programmed to control the actuator assemblies to move the light assemblies between the retracted state and the plurality of extended states.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: An apparatus has a memory with processor-executable instructions and a processor operatively coupled to the memory. The apparatus receives datasets including time series data points that are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content, and selects, based on the determined characteristic, a set of entrant forecasting models from a pool of forecasting models stored in the memory. Next, the processor trains each entrant forecasting model with the time series data points to produce a set of trained entrant forecasting models. The processor executes each trained entrant forecasting model to generate a set of forecasted values indicating estimations of the feature of the given entity. Thereafter the processor selects at least one forecasting model from the set of trained entrant forecasting models based on computed accuracy evaluations performed over the set of forecasted values.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: An apparatus has a memory with processor-executable instructions and a processor operatively coupled to the memory. The apparatus receives datasets including time series data points that are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content, and selects, based on the determined characteristic, a set of entrant forecasting models from a pool of forecasting models stored in the memory. Next, the processor trains each entrant forecasting model with the time series data points to produce a set of trained entrant forecasting models. The processor executes each trained entrant forecasting model to generate a set of forecasted values indicating estimations of the feature of the given entity. Thereafter the processor selects at least one forecasting model from the set of trained entrant forecasting models based on computed accuracy evaluations performed over the set of forecasted values.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: Bicyclic heterocyclic derivatives of formula I useful in inhibiting PDGF receptor mediated biological activity. wherein A is and R1, R1a, R2, R3, R4, R5, R6 and X are as defined herein.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: The present invention is directed to the preparation of oxygenated, unsaturated hydrocarbon compounds, such as derivatives of furfural or hydroxymethyl furfural produced by aldol condensation with a ketone or a ketoester, as well as methods of deoxidatively reducing those compounds with hydrogen under acidic conditions to provide saturated hydrocarbons useful as fuels.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.