we present a traffic anomaly detection algorithm based on intuitionistic fuzzy time series graph mining. For multi-dimensional attribute entropy of network traffic data, we establish multiple parallel ...

For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

In this paper, we strive to learn jointly optimized user scheduling and hybrid precoding policy with graph neural network (GNN), which has emerged ... optimized scheduling and precoding by numerical ...

Doing hackerrank python challenges regularly makes you a better problem solver. Using the HackerRank community can give you ...

However, most of these methods lack scalability and cannot be applied in dynamic environments. To address this research gap, we propose a hybrid algorithm called GraphPack to solve the strip packing ...