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 "neuromemristive circuits for edge computing a review"):
  Abstract: The volume, veracity, variability, and velocity of data produced from the ever increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure. Increasing the data processing capability of edge computing devices at lower power requirements can reduce several overheads for cloud computing solutions. This paper provides the review of neuromorphic CMOS-memristive architectures that can be integrated into edge computing devices. We discuss why the neuromorphic architectures are useful for edge devices and show the advantages, drawbacks, and open problems in the field of neuromemristive circuits for edge computing.

Includes members:
  Member "long short term memory networks in memristor crossbar arrays":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mixed precision deep learning based on computational memory")
  Member "learning in memristive neural network architectures using analog backpropagation circuits":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "wafer quality inspection using memristive lstm ann dnn and htm")
  Member "neuron inspired data encoding memristive multi level memory cell":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "learning in memristive neural network architectures using analog backpropagation circuits")
  Member "hierarchical temporal memory using memristor networks a survey":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning in memristive neural network architectures using analog backpropagation circuits")
  Member "binary weighted memristive analog deep neural network for near sensor edge processing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "learning in memristive neural network architectures using analog backpropagation circuits")
  Member "design of cmos memristor circuits for lstm architecture":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning in memristive neural network architectures using analog backpropagation circuits")
  Member "memristive lstm network hardware architecture for time series predictive modeling problem":
    also connected through other hyperedges:
      (none)
  Member "approximate probabilistic neural networks with gated threshold logic":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "practical implementation of memristor based threshold logic gates")

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.ET(Emerging Technologies)