HIGHLIGHTS
- who: Zijian Zhang and colleagues from the School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China have published the research work: A Multi-Dimensional Covert Transaction Recognition Scheme for Blockchain, in the Journal: Mathematics 2023, 11, 1015. of /2023/
- what: The authors first analyze convolutional neural network (CNN)-based and attention-based covert transaction recognition schemes and the authors explore the deep relationship between the appropriate extraction of features and the embedded fields of covert transactions. The experiments demonstrate that the precision and recall of the covert transaction recognition are higher than . . .
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