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 "analog multiplier design with cmos memristor circuits"):
  Abstract: CMOS-transistors circuits have been used as a conventional approach for designing an analog multiplier in modern era of industrial electronics. However, previous studies have shown, that based on the working region of transistors, such as saturation or weak inversion regions, the circuit may face issues with output ranges and accuracy. One possible solution to that problem could be choosing CMOS-memristors as a basis for the circuit. Although memristor research is still a growing and promising field, one could argue that its implementation could bring many benefits such as increased circuit density and superior computation speeds, etc. Additionally, the era of Moore's Law of downscaling the size of transistors is to eventually come to an end. No one knows whether the end of a scaling paradigm is to happen within the next five or twenty years. Hence, the research on this particular subject is quite important. This paper proposes an analog multiplier design with CMOS and memristive components. Mainly, the aim of the paper is to compare the power consumption and overall characteristic of the multiplier such as the accuracy and the output range to that of the conventional multiplier. The designed circuit is expected to be suitable for low power applications, and it is built using 18um CMOS technology. The circuit simulations will be conducted using SPICE software. Finally, the effects of channel modulation and temperature on the multiplier performance will be discussed.

Includes members:
  Member "neuron inspired data encoding memristive multi level memory cell":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "neuromemristive circuits for edge computing a review")
  Member "feature extraction without learning in an analog spatial pooler memristive cmos circuit design of hierarchical temporal memory":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "neuromemristive circuits for edge computing a review")
  Member "memristor load current mirror circuit":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sense amplifier design using cmos memristor circuits")

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)