Abstract: Financial Fraud Detection Model (FFDM) is used to develop an advanced detection framework utilizing Graph Neural Networks (GNNs) to accurately identify fraudulent transactions within the ...
Abstract: The current deep learning-based target detection algorithms have problems such as the network perception domain being limited, poor adaptation to scale changes, feature mismatch in feature ...
A new research paper reframes the simulation hypothesis, asking whether reality could be simulated and what science can test.
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