human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "an autonomous spectrum management scheme for unmanned aerial vehicle networks in disaster relief operations"):
  Abstract: This paper studies the problem of spectrum shortage in an unmanned aerial vehicle (UAV) network during critical missions such as wildfire monitoring, search and rescue, and disaster monitoring. Such applications involve a high demand for high-throughput data transmissions such as real-time video-, image-, and voice- streaming where the assigned spectrum to the UAV network may not be adequate to provide the desired Quality of Service (QoS). In these scenarios, the aerial network can borrow an additional spectrum from the available terrestrial networks in the trade of a relaying service for them. We propose a spectrum sharing model in which the UAVs are grouped into two classes of relaying UAVs that service the spectrum owner and the sensing UAVs that perform the disaster relief mission using the obtained spectrum. The operation of the UAV network is managed by a hierarchical mechanism in which a central controller assigns the tasks of the UAVs based on their resources and determine their operation region based on the level of priority of impacted areas and then the UAVs autonomously fine-tune their position using a model-free reinforcement learning algorithm to maximize the individual throughput and prolong their lifetime. We analyze the performance and the convergence for the proposed method analytically and with extensive simulations in different scenarios.

Includes members:
  Member "a solution for dynamic spectrum management in mission critical uav networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "a survey on hardware based security mechanisms for internet of things":
    also connected through other hyperedges:
      (none)
  Member "ring oscillator and its application as physical unclonable function puf for password management":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "overview of blakley s secret sharing scheme":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "a reputation based stackelberg game model to enhance secrecy rate in spectrum leasing to selfish iot devices":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on hardware based security mechanisms for internet of things")
  Member "leader follower based coalition formation in large scale uav networks a quantum evolutionary approach":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "wildfire monitoring in remote areas using autonomous unmanned aerial vehicles")
  Member "traffic light control using deep policy gradient and value function based reinforcement learning":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "gamma reward a novel multi agent reinforcement learning method for traffic signal control")
  Member "waveform and spectrum management for unmanned aerial systems beyond 2025":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "cache assisted broadcast relay wireless networks a delivery time cache memory tradeoff")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.LG(Machine Learning)