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 "crescendo an infrastructure free ubiquitous cellular network based localization system"):
  Abstract: A ubiquitous outdoor localization system that is easy to deploy and works equally well for all mobile devices is highly-desirable. The GPS, despite its high accuracy, cannot be reliably used for this purpose since it is not available on low-end phones nor in areas with low satellite coverage. The application of classical fingerprinting approaches, on the other hand, is prohibited by excessive maintenance and deployment costs. In this paper, we propose Crescendo, a cellular network-based outdoor localization system that does not require calibration or infrastructure support. Crescendo builds on techniques borrowed from computational geometry to estimate the user's location. Specifically, given the network cells heard by the mobile device it leverages the Voronoi diagram of the network sites to provide an initial ambiguity area and incrementally reduces this area by leveraging pairwise site comparisons and visible cell information. Evaluation of Crescendo in both an urban and a rural area using real data shows median accuracies of 152m and 224m, respectively. This is an improvement over classical techniques by at least 18% and 15%, respectively.

Includes members:
  Member "the diversity and scale matter ubiquitous transportation mode detection using single cell tower information":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "trans sense real time transportation schedule estimation using smart phones")
  Member "semmatch road semantics based accurate map matching for challenging positioning data":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "mining user behaviour from smartphone data a literature review")
  Member "lanequest an accurate and energy efficient lane detection system":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "real time lane id estimation using recurrent neural networks with dual convention")
  Member "map a crowd sensing system for automatic map semantics identification":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "coltrane convolutional trajectory network for deep map inference")
  Member "dejavu an accurate energy efficient outdoor localization system":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "zero calibration device free localization for the iot based on participatory sensing")
  Member "cellsense an accurate energy efficient gsm positioning system":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "trans sense real time transportation schedule estimation using smart phones")

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)