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 "a unified framework for joint mobility prediction and object profiling of drones in uav networks"):
  Abstract: In recent years, using a network of autonomous and cooperative unmanned aerial vehicles (UAVs) without command and communication from the ground station has become more imperative, in particular in search-and-rescue operations, disaster management, and other applications where human intervention is limited. In such scenarios, UAVs can make more efficient decisions if they acquire more information about the mobility, sensing and actuation capabilities of their neighbor nodes. In this paper, we develop an unsupervised online learning algorithm for joint mobility prediction and object profiling of UAVs to facilitate control and communication protocols. The proposed method not only predicts the future locations of the surrounding flying objects, but also classifies them into different groups with similar levels of maneuverability (e.g. rotatory, and fixed-wing UAVs) without prior knowledge about these classes. This method is flexible in admitting new object types with unknown mobility profiles, thereby applicable to emerging flying Ad-hoc networks with heterogeneous nodes.

Includes members:
  Member "on greedy routing in dynamic uav networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "wildfire monitoring in remote areas using autonomous unmanned aerial vehicles")
  Member "dronecells improving 5g spectral efficiency using drone mounted flying base stations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "trajectory design for multiple uav assisted wireless networks")
  Member "optimal measurement policy for predicting uav network topology":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "wildfire monitoring in remote areas using autonomous unmanned aerial vehicles")
  Member "a coalition formation approach to coordinated task allocation in heterogeneous uav networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "wildfire monitoring in remote areas using autonomous unmanned aerial vehicles")
  Member "amateur drone monitoring state of the art architectures key enabling technologies and future research directions":
    also connected through other hyperedges:
      (none)
  Member "survey of important issues in uav communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "throughput maximization of mixed fso rf uav aided mobile relaying with a buffer")
  Member "dynamic routing for flying ad hoc networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "securing fleets of consumer drones at low cost")
  Member "internet of things applications animal monitoring with unmanned aerial vehicle":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "path planning for uav mounted mobile edge computing with deep reinforcement learning")

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.NI(Networking and Internet Architecture)