Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.

Abstract: Examples described herein include systems, methods, instructions, and other implementations for data security with integrated installment payment systems. In one example, account security system receives a checkout communication that includes data describing a validated checkout system of a merchant system. A client token is transmitted in response to an authentication that the checkout communication is from the validated checkout system, and an account communication including the client token and secure client information is received from a client device. An installment payment communication associated with the secure transaction is received from a system other than a merchant system involved in the transaction. The secure transaction is then facilitated following receipt of the installment payment communication.

Abstract: A method performed by at least one computing device. The method includes receiving a credit request from a self-checkout device before a customer completes an instore checkout process and sending a request for a Uniform Resource Locator (“URL”) to one or more authentication computing devices. The authentication computing device(s) send the URL to the mobile device. The method includes sending a credit application to the mobile device after the customer selects the URL, receiving a submission of the credit application from the mobile device, approving credit based on the submission, and forwarding a code to the mobile device. The code indicates that the credit is to be used to complete the instore checkout process when scanned by the scanner.

Abstract: Examples described herein include systems, methods, instructions, and other implementations for data security with integrated installment payment systems. In one example, account security system receives a checkout communication that includes data describing a validated checkout system of a merchant system. A client token is transmitted in response to an authentication that the checkout communication is from the validated checkout system, and an account communication including the client token and secure client information is received from a client device. An installment payment communication associated with the secure transaction is received from a system other than a merchant system involved in the transaction. The secure transaction is then facilitated following receipt of the installment payment communication.

Abstract: A method performed by at least one computing device. The method includes receiving a credit request from a self-checkout device before a customer completes an instore checkout process and sending a request for a Uniform Resource Locator (“URL”) to one or more authentication computing devices. The authentication computing device(s) send the URL to the mobile device. The method includes sending a credit application to the mobile device after the customer selects the URL, receiving a submission of the credit application from the mobile device, approving credit based on the submission, and forwarding a code to the mobile device. The code indicates that the credit is to be used to complete the instore checkout process when scanned by the scanner.

Abstract: Examples described herein include systems, methods, instructions, and other implementations for data security with integrated installment payment systems. In one example, account security system receives a checkout communication that includes data describing a validated checkout system of a merchant system. A client token is transmitted in response to an authentication that the checkout communication is from the validated checkout system, and an account communication including the client token and secure client information is received from a client device. An installment payment communication associated with the secure transaction is received from a system other than a merchant system involved in the transaction. The secure transaction is then facilitated following receipt of the installment payment communication.

Abstract: A software asset management service obtains software asset information from various computer systems of a service provided by a service provider and available to customers of the service provider. Based on the obtained software asset information from the computer systems, the service updates a database to specify this information. The service then receives a request to generate a report of software assets for computing resources associated with a customer of a service provider. This may cause the service to access the database to obtain the software asset information for the specified computing resources. Once the service has obtained the necessary information from the database, the service generates the requested report.

Abstract: A method performed by at least one computing device. The method includes receiving a credit request from a self-checkout device before a customer completes an instore checkout process and sending a request for a Uniform Resource Locator (“URL”) to one or more authentication computing devices. The authentication computing device(s) send the URL to the mobile device. The method includes sending a credit application to the mobile device after the customer selects the URL, receiving a submission of the credit application from the mobile device, approving credit based on the submission, and forwarding a code to the mobile device. The code indicates that the credit is to be used to complete the instore checkout process when scanned by the scanner.

Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.

Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.

Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.