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Detecting online transaction fraud is a basic study of the new era of electronic transactions. Because the payment patterns of customers and the fraud behaviour of offenders are continually changing, improving the consistency of the fraud detection model and ensuring its stability is exceedingly challenging. In this report, we will look at We concentrate on acquiring deep feature representations of legal and fraud transactions from the perspective of a deep neural network’s loss function in this report. Our aim is to increase the separability and discrimination of features in order to boost the efficiency and stability of our fraud detection platform, with the rapid evolution of the technology, the world is turning to use online transaction instead of cash in their daily life, which opens the door to many new ways for fraudsters to use these cards in a nefarious manner. Global losses are projected to reach $35 billion by 2020, according to the Nilson report. To guarantee that users of these credit cards are secure, the credit card issuer should provide a program that protects them from any threats they can experience. As a result, we illustrate our framework for predicting whether transactions are genuine or illegitimate using Kaggel’s IEEE-CIS Fraud Detection dataset. BiLSTM-MaxPooling-BiGRUM is the name of our model. Long bi-directional gated repeated unit and long bi-directional memory term (BiLSTM) are used in axPooling (BiGRU).

X-ray diffraction and high-precision scanning electron microscopy methods were used to study the long-term evolution of the defect structure of diffusion filter-membranes Pd-Y. Analysis of X-ray diffraction data and microelectronic photographs showed that the recovery of the dislocation structure in the membranes was not uniform. Differences in the processes of hydrogen conservation in the structure of membranes are determined reversible hydrogen doping. Preservation by alloy of superstructural ordered regions was detected.

The development of advanced technologies is related to the preparation and application of rare-earth metals. The tendency of development of rare-earth metal (REM) industry in Russia consists in tending to shed its dependence on the importation of REMs, to organize their production and products based on them in the required quantities, and to find new application fields for REMs. The aim of the present study is to elaborate the purification technologies of scandium and scandium hydride and to approbate its application as breakable additions to powder mixtures for the preparation of Nd-Fe-B permanent magnets. It is demonstrated the possibility to control the grains size of the 2-14-1 phase in Nd-Fe-B with the ScH∼2 addition. Moreover, our systematic studies are aimed at the development of corrosion-resistant Ag-free Pd-based REM-containing alloys with the high hydrogen permeability for the separation of high-purity hydrogen from hydrogen-containing mixtures. In the present study, the hydrogen permeability and mechanical properties of Pd-Sc thin foils prepared with special-purity scandium are discussed