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 "abnormality detection inside blood vessels with mobile nanomachines"):
  Abstract: Motivated by the numerous healthcare applications of molecular communication within Internet of Bio-Nano Things (IoBNT), this work addresses the problem of abnormality detection in a blood vessel using multiple biological embedded computing devices called cooperative biological nanomachines (CNs), and a common receiver called the fusion center (FC). Due to blood flow inside a vessel, each CN and the FC are assumed to be mobile. In this work, each of the CNs perform abnormality detection with certain probabilities of detection and false alarm by counting the number of molecules received from a source, e.g., infected tissue. These CNs subsequently report their local decisions to a FC over a diffusion-advection blood flow channel using different types of molecules in the presence of inter-symbol interference, multi-source interference, and counting errors. Due to limited computational capability at the FC, OR and AND logic based fusion rules are employed to make the final decision after obtaining each local decision based on the optimal likelihood ratio test. For the aforementioned system, probabilities of detection and false alarm at the FC are derived for OR and AND fusion rules. Finally, simulation results are presented to validate the derived analytical results, which provide important insights.

Includes members:
  Member "on flow induced diffusive mobile molecular communication first hitting time and performance analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "diffusive mobile mc with absorbing receivers stochastic analysis and applications")
  Member "stochastic channel modeling for diffusive mobile molecular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")
  Member "advanced target detection via molecular communication":
    also connected through other hyperedges:
      (none)
  Member "cooperative abnormality detection via diffusive molecular communications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "symbol by symbol maximum likelihood detection for cooperative molecular communication")
  Member "diffusive mobile molecular communications over time variant channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "diffusive mobile mc with absorbing receivers stochastic analysis and applications")
  Member "modeling duct flow for molecular communication":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "chemical reactions based microfluidic transmitter and receiver for molecular communication")
  Member "abnormality detection in correlated gaussian molecular nano networks design and analysis":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "symbol by symbol maximum likelihood detection for cooperative molecular communication")
  Member "channel estimation for diffusive molecular communications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")

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.IT(Information Theory)