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 "gamification for education of the digitally native generation by means of virtual reality augmented reality machine learning and brain computing interfaces in museums"):
  Abstract: Particularly close attention is being paid today among researchers in social science disciplines to aspects of learning in the digital age, especially for the Digitally Native Generation. In the context of museums, the question is: how can rich learning experiences be provided for increasingly technologically advanced young visitors in museums? Which high-tech platforms and solutions do museums need to focus on? At the same time, the software games business is growing fast and now finding its way into non-entertainment contexts, helping to deliver substantial benefits, particularly in education, training, research, and health. This article outlines some aspects facing Digitally Native learners in museums through an analysis of several radically new key technologies: Interactivity, Wearables, Virtual Reality, and Augmented Reality. Special attention is paid to use cases for application of games-based scenarios via these technologies in non-leisure contexts and specifically for educational purposes in museums.

Includes members:
  Member "deep learning for fatigue estimation on the basis of multimodal human machine interactions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on deep learning based brain computer interface recent advances and new frontiers")
  Member "user driven intelligent interface on the basis of multimodal augmented reality and brain computer interaction for people with functional disabilities":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "prediction of physical load level by machine learning analysis of heart activity after exercises")
  Member "augmented coaching ecosystem for non obtrusive adaptive personalized elderly care on the basis of cloud fog dew computing paradigm":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "prediction of physical load level by machine learning analysis of heart activity after exercises")
  Member "automatized generation of alphabets of symbols":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "performance evaluation of deep learning networks for semantic segmentation of traffic stereo pair images")
  Member "music transcription by deep learning with data and artificial semantic augmentation":
    also connected through other hyperedges:
      (none)
  Member "performance analysis of open source machine learning frameworks for various parameters in single threaded and multi threaded modes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "response transformation and profit decomposition for revenue uplift modeling")

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.CY(Computers and Society)