human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "fuzzy cellular model for on line traffic simulation"
  Abstract: This paper introduces a fuzzy cellular model of road traffic that was intended for on-line applications in traffic control. The presented model uses fuzzy sets theory to deal with uncertainty of both input data and simulation results. Vehicles are modelled individually, thus various classes of them can be taken into consideration. In the proposed approach, all parameters of vehicles are described by means of fuzzy numbers. The model was implemented in a simulation of vehicles queue discharge process. Changes of the queue length were analysed in this experiment and compared to the results of NaSch cellular automata model.

Connected through hyperedge HE-1 (induced by source paper "a traffic model based on fuzzy cellular automata"):
  with members:
    - "selective data collection in vehicular networks for traffic control applications"
    - "performance evaluation of road traffic control using a fuzzy cellular model"
    - "a real time vehicle detection algorithm for vision based sensors"

Connected through hyperedge HE-2 (induced by source paper "uncertainty dependent data collection in vehicular sensor networks"):
  with members:
    - "selective data collection in vehicular networks for traffic control applications"
    - "fuzzy cellular model of signal controlled traffic stream"
    - "performance evaluation of road traffic control using a fuzzy cellular model"

Connected through hyperedge HE-3 (induced by source paper "selective data collection in vehicular networks for traffic control applications"):
  with members:
    - "performance evaluation of road traffic control using a fuzzy cellular model"
    - "model based event detection in wireless sensor networks"

Connected through hyperedge HE-4 (induced by source paper "fuzzy cellular model of signal controlled traffic stream"):
  with members:
    - "performance evaluation of road traffic control using a fuzzy cellular model"
    - "a real time vehicle detection algorithm for vision based sensors"

Question: Please tell me which class the center node 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.ET(Emerging Technologies)