Feature Extraction Method Based on Social Network Analysis

Due to rapid development of Internet technology and electronic business, fraudulent activities have increased.One of the ways to cope with damages of them is fraud detection.In this field, there is a need for methods accurate and fast.Therefore, a novel and efficient feature extraction method based on social network analysis called FEMBSNA is propo

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Impact of globalization on money laundering

This article addresses the complex relationship between money laundering and globalization.The way that global economy facilitated money laundering activities, the challenges of cross-border transactions and review the measures put in 3DS place to fight against this illicit practice are analyzed and examined.Money laundering is a complex and pervas

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Technical Development of the CeCi Social Robot

This research presents the technical considerations for implementing the CeCi (Computer Electronic Communication Interface) social robot.In this case, this robot responds to the need to achieve technological development in an emerging country with the aim of social impact Candle Trimmer and social interaction.There are two problems with the social

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Impulsive Action and Impulsive Choice Are Differentially Expressed in Rats Depending on the Age at Exposure to a Gambling Task

Impulsivity is considered an important feature associated with the development of numerous psychiatric disorders, including addictions.In the behavioral approach, impulsivity can be broadly divided into two distinct subtypes: impulsive action and choice.In the present study, we used a rodent version of the gambling task (rGT) to examine how impulsi

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