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6 papers · 1 filter
Sapiens Chain: A Blockchain-based Cybersecurity Framework
Yu Han, Zhongru Wang, Qiang Ruan +1
Recently, cybersecurity becomes more and more important due to the rapid development of Internet. However, existing methods are in reality highly sensitive to attacks and are far m…
Research on CRO's Dilemma In Sapiens Chain: A Game Theory Method
Jinyu Shi, Zhongru Wang, Qiang Ruan +2
In recent years, blockchain-based techniques have been widely used in cybersecurity, owing to the decentralization, anonymity, credibility and not be tampered properties of the blo…
Efficient Spiking Neural Networks with Logarithmic Temporal Coding
Ming Zhang, Nenggan Zheng, De Ma +2
A Spiking Neural Network (SNN) can be trained indirectly by first training an Artificial Neural Network (ANN) with the conventional backpropagation algorithm, then converting it in…
Deep Learning with Long Short-Term Memory for Time Series Prediction
Yuxiu Hua, Zhifeng Zhao, Rongpeng Li +3
Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies…
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
Xianfu Chen, Zhifeng Zhao, Celimuge Wu +4
With the cellular networks becoming increasingly agile, a major challenge lies in how to support diverse services for mobile users (MUs) over a common physical network infrastructu…
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application
Yujing Hu, Qing Da, Anxiang Zeng +2
In e-commerce platforms such as Amazon and TaoBao, ranking items in a search session is a typical multi-step decision-making problem. Learning to rank (LTR) methods have been widel…