Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: Embodiments provide electronic methods and systems for improving edge case classifications. The method performed by a server system includes accessing an input sample dataset including first labeled training data associated with a first class, and second labeled training data associated with a second class, from a database. Method includes executing training of a first autoencoder and a second autoencoder based on the first and second labeled training data, respectively. Method includes providing the first and second labeled training data along with unlabeled training data accessed from the database to the first and second autoencoders. Method includes calculating a common loss function based on a combination of a first reconstruction error associated with the first autoencoder and a second reconstruction error associated with the second autoencoder. Method includes fine-tuning the first autoencoder and the second autoencoder based on the common loss function.

Abstract: A pluggable trust architecture addresses the problem of establishing trust in hardware. The architecture has low impact on system performance and comprises a simple, user-supplied, and pluggable hardware element. The hardware element physically separates the untrusted components of a system from peripheral components that communicate with the external world. The invention only allows results of correct execution of software to be communicated externally.

Abstract: De-normalized data structure files generation systems and methods are provided. The system obtains files from sources wherein each file include records, parses files to validate records and attributes in the records, identifies a set of similar files from the validated files, and append two or more files from the set of similar files to obtain one or more consolidated files. Each of the one or more consolidate files corresponds to a specific category. The system further a predefined logic validation on each of the one or more consolidated files to obtain a logic validated file for each of the one or more consolidated files. Each logic validated file obtained for the one or more consolidated files include validated records. The system further generates a de-normalized data structure file including de-normalized records by merging each of the logic validated files to be used for generating intelligence reports.

Abstract: A pluggable trust architecture addresses the problem of establishing trust in hardware. The architecture has low impact on system performance and comprises a simple, user-supplied, and pluggable hardware element. The hardware element physically separates the untrusted components of a system from peripheral components that communicate with the external world. The invention only allows results of correct execution of software to be communicated externally.

Abstract: One embodiment includes generating a polymer partitioning model that determines a concentration of the polymer in a brine phase of the microemulsion system and a concentration of the polymer in an aqueous component of a microemulsion phase of the microemulsion system. The embodiment includes determining a viscosity of the brine phase of the microemulsion system using the concentration of the polymer in the brine phase of the microemulsion system, determining a viscosity of the aqueous component of the microemulsion phase of the microemulsion system using the concentration of the polymer in the aqueous component of the microemulsion phase of the microemulsion system, and determining a viscosity of the microemulsion phase of the microemulsion system using the viscosity of the aqueous component of the microemulsion phase of the microemulsion system. The embodiment includes using determined viscosities to determine performance of a chemical enhanced oil recovery process scenario.

Abstract: A method for predicting phase behavior includes determining a hydrophilic-lipophilic difference based on a ratio of salinity to optimum salinity in the microemulsion system. The method further includes determining a mean solubilization ratio as a direct function of the hydrophilic-lipophilic difference at a same state as an optimum solubilization. The method also includes predicting phase behavior based on the determined mean solubilization ratio. The method additionally includes injecting a surfactant into a reservoir according to the predicted phase behavior.

Abstract: A pluggable trust architecture addresses the problem of establishing trust in hardware. The architecture has low impact on system performance and comprises a simple, user-supplied, and pluggable hardware element. The hardware element physically separates the untrusted components of a system from peripheral components that communicate with the external world. The invention only allows results of correct execution of software to be communicated externally.

Abstract: De-normalized data structure files generation systems and methods are provided. The system obtains files from sources wherein each file include records, parses files to validate records and attributes in the records, identifies a set of similar files from the validated files, and append two or more files from the set of similar files to obtain one or more consolidated files. Each of the one or more consolidate files corresponds to a specific category. The system further a predefined logic validation on each of the one or more consolidated files to obtain a logic validated file for each of the one or more consolidated files. Each logic validated file obtained for the one or more consolidated files include validated records. The system further generates a de-normalized data structure file including de-normalized records by merging each of the logic validated files to be used for generating intelligence reports.

Abstract: A pluggable trust architecture addresses the problem of establishing trust in hardware. The architecture has low impact on system performance and comprises a simple, user-supplied, and pluggable hardware element. The hardware element physically separates the untrusted components of a system from peripheral components that communicate with the external world. The invention only allows results of correct execution of software to be communicated externally.