Abstract: A fluid curtain system for a vehicle mounted sensor includes a sensor member including a first end, a second end, and a sensing surface. The sensing surface is arranged between the first end and the second end. A fluid curtain generator is arranged at one of the first end and the second end of the sensor member. The fluid curtain generator is operable to generate and direct multiple streams of fluid at the sensor, the multiple streams of fluid forming a fluid curtain across the sensing surface.

Abstract: Certain aspects of the present disclosure provide techniques for ranking users based on similarity. One example method generally includes receiving a request to view a list of users similar to a user based on personal information and receiving user data generated based on attribute data and financial data associated with the user comprising value data of the user. The method further includes obtaining clusters comprising value data of a plurality of users based on mapped data of the plurality of users and determining, by comparing the value data of the user data with the value data of the clusters, a cluster of vectors similar to the user data. The method further includes generating, based on a list of user identifiers using a distance function, a ranked list of similar users and transmitting the ranked list of similar users to a user device for display.

Abstract: Systems and methods are provided that, in some embodiments that extract user data from at least one data warehouse. The user data is sorted within each dimension, and partitions each dimension into bins. Clusters are defined as each bin that includes user data for a number of users that exceeds a threshold. Clusters are determined for every combination of dimensions. Each combination of clusters that exceed the threshold is defined as clusters that are formed from multiple dimensions. All clusters and other clusters are stored into a cluster definition table. The clusters are used to analyze the profile of specific users.

Abstract: Certain aspects of the present disclosure provide techniques for ranking users based on similarity. One example method generally includes receiving a request to view a list of users similar to a user based on personal information and receiving user data generated based on attribute data and financial data associated with the user comprising value data of the user. The method further includes obtaining clusters comprising value data of a plurality of users based on mapped data of the plurality of users and determining, by comparing the value data of the user data with the value data of the clusters, a cluster of vectors similar to the user data. The method further includes generating, based on a list of user identifiers using a distance function, a ranked list of similar users and transmitting the ranked list of similar users to a user device for display.

Abstract: A method for measuring financial health involves aggregating financial data from different data sources into a single financial data warehouse; extracting multiple customer financial characteristics from the financial data warehouse to build multiple financial profiles for a plurality of known customers; training a predictive machine learning model using the multiple financial profiles of multiple known customers to obtain a trained model; generating a grade mapping table using the trained model and a pre-defined business rule; applying the trained model to the financial data of a user to obtain a financial health score set; applying the grade mapping table to the financial data of the user to obtain a financial health grade set; and presenting the financial health grade set and the financial health score set to the user via a multimedia user interface.

Abstract: A tennis-ball collector which includes a chassis, a drive train, an energy source, wheels, and a motor. The tennis-ball collector is useful for collecting scattered tennis balls after a game or practice without the need to bend and pick them up by hand. The device moves balls using a vacuum system or a drive belt.

Abstract: User data from users/consumers is transformed into machine learning training data including historical offer attribute model training data, historical offer performance model training data, and user attribute model training data associated with two or more users/consumers, and, in some cases, millions, tens of millions, or hundreds of millions or more, users/consumers. The machine learning training data is then used to train one or more offer/attribute matching models in an offline training environment. A given current user's data and current offer data are then provided as input data to the offer/attribute matching models in an online runtime/execution environment to identify current offers predicted to have a threshold level of user interest. Recommendation data representing these offers is then provided to the user and the current user's actions with respect to the recommended offers is monitored and used as online training data.

Abstract: Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.

Abstract: A method for welding at least one hanger to a fork. A friction welding process may be used to create a weld between the hanger and the fork, after which the heat-affected zone (HAZ) may be allowed to cool. Preferably the cooling occurs until martensite is formed, after which a post-tempering current is applied to the HAZ.

Abstract: Systems and methods are provided that, in some embodiments that extract user data from at least one data warehouse. The user data is sorted within each dimension, and partitions each dimension into bins. Clusters are defined as each bin that includes user data for a number of users that exceeds a threshold. Clusters are determined for every combination of dimensions. Each combination of clusters that exceed the threshold is defined as clusters that are formed from multiple dimensions. All clusters and other clusters are stored into a cluster definition table. The clusters are used to analyze the profile of specific users.

Abstract: A tennis-ball collector which includes a chassis, a drive train, an energy source, wheels, and a motor. The tennis-ball collector is useful for collecting scattered tennis balls after a game or practice without the need to bend and pick them up by hand. The device moves balls using a vacuum system or a drive belt.

Abstract: Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.

Abstract: Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.

Abstract: In accordance with an embodiment, sensor structure has a first, second, and third laminated structures. The second laminated structure is positioned between the first laminated structure and the third laminated structure. The first laminated structure includes a first portion of a first sensing element and the third laminated structure includes a second portion of the first sensing element. The second laminated structure includes spacer elements that can be used to adjust the sensitivity of the sensor structure.

Abstract: A system and method for use with a data management service provides aggregated statistics derived from a large amount of user data extracted from one or more transaction management systems. The aggregated statistics are based on client queries from client systems. The queries request statistical information about a queried user grouping. An input interpreter module uses machine learning to modify the queried user grouping into a plurality of improved user groupings. A statistics calculator module performs a set of calculations on the user data based on the improved user groupings, and returns the results to an output preparer module. The output preparer module uses machine learning to determine which aggregated statistic to return to the client system.

Abstract: A hunter safety device for transporting firearms from ground level to an elevated position. It attaches to the stock of a weapon which is in turn attached a sling. A tether attaches the weapon from the sling to an elevated platform position. Once installed, it prevents a falling weapon from contacting the ground. The device consists of three layers including an inner layer made of a non-slip material interior, a middle layer made of a tough type of material, an outside/exterior layer made of a durable material such as vinyl, for the exterior to be exposed to atmosphere, and a closure mechanism; an edge method like sewing or adhesive which secures the three layers; and an elastic strap encircles the three layers. The tether strap then is connected to the layers at one end and to a tree/tree stand at the other to safely secure the weapon.

Abstract: A hunter safety device for transporting firearms from ground level to an elevated position. It attaches to the stock of a weapon which is in turn attached a sling. A tether attaches the weapon from the sling to an elevated platform position. Once installed, it prevents a falling weapon from contacting the ground. The device consists of three layers including an inner layer made of a non-slip material interior, a middle layer made of a tough type of material, an outside/exterior layer made of a durable material such as vinyl, for the exterior to be exposed to atmosphere, and a closure mechanism; an edge method like sewing or adhesive which secures the three layers; and an elastic strap encircles the three layers. The tether strap then is connected to the layers at one end and to a tree/tree stand at the other to safely secure the weapon.

Abstract: In accordance with an embodiment, sensor structure has a first, second, and third laminated structures. The second laminated structure is positioned between the first laminated structure and the third laminated structure. The first laminated structure includes a first portion of a first sensing element and the third laminated structure includes a second portion of the first sensing element. The second laminated structure includes spacer elements that can be used to adjust the sensitivity of the sensor structure.

Abstract: An automated tennis ball collector which includes a chassis, a drive train, an energy source, a plurality of wheels, and at least one motor. The automated tennis ball collector is useful for collecting scattered tennis balls after a game or practice without the need to bend and pick them up by hand.

Abstract: In accordance with an embodiment, a circuit element includes a flexible foldable substrate having portions of a first inductor formed on first and second major surfaces of the flexible substrate. In accordance with another embodiment, a first electrically conductive trace having a first terminal, a second terminal, and a first annular-shaped portion between the first terminal and the second terminal is formed on a first portion of the first major surface. A second electrically conductive trace having a first terminal, a second terminal, a first annular-shaped portion between the first terminal and the second terminal of the second electrically conductive trace, and a second annular-shaped portion between the first terminal and the second terminal of the second electrically conductive trace is formed on the second major surface. The first electrically conductive trace is coupled to the second electrically conductive trace by a thru-via.