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 "towards physiology aware dash bandwidth compliant prioritized clinical multimedia communication in ambulances"):
  Abstract: The ultimate objective of medical cyber-physical systems is to enhance the safety and effectiveness of patient care. To ensure safe and effective care during emergency patient transfer from rural areas to center tertiary hospitals, reliable and real-time communication is essential. Unfortunately, real-time monitoring of patients involves transmission of various clinical multimedia data including videos, medical images, and vital signs, which requires use of mobile network with high-fidelity communication bandwidth. However, the wireless networks along the roads in rural areas range from 4G to 2G to low speed satellite links, which poses a significant challenge to transmit critical patient information. #R##N#In this paper, we present a bandwidth-compliant criticality-aware system for transmission of massive clinical multimedia data adaptive to varying bandwidths during patient transport. Model-based clinical automata are used to determine the criticality of clinical multimedia data. We borrow concepts from DASH, and propose physiology-aware adaptation techniques to transmit more critical clinical data with higher fidelity in response to changes in disease, clinical states, and bandwidth condition. In collaboration with Carle's ambulance service center, we develop a bandwidth profiler, and use it as proof of concept to support our experiments. Our preliminary evaluation results show that our solutions ensure that most critical patient's clinical data are communicated with higher fidelity.

Includes members:
  Member "physiology aware rural ambulance routing":
    also connected through other hyperedges:
      (none)
  Member "a mobile geo communication dataset for physiology aware dash in rural ambulance transport":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the power of d choices in scheduling for data centers with heterogeneous servers")
  Member "a pathophysiological model driven communication for dynamic distributed medical best practice guidance systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "physiology aware rural ambulance routing")
  Member "adaptive 360 vr video streaming divide and conquer":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "prediction communication and computing duration optimization for vr video streaming")
  Member "r storm resource aware scheduling in storm":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a scheduling algorithm to maximize storm throughput in heterogeneous cluster")
  Member "sink a middleware for synchronization of heterogeneous software interfaces":
    also connected through other hyperedges:
      (none)
  Member "probe and adapt rate adaptation for http video streaming at scale":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "understanding video streaming algorithms in the wild")
  Member "rate adaptation and admission control for video transmission with subjective quality constraints":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a survey on qoe oriented wireless resources scheduling")

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.NI(Networking and Internet Architecture)