human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "echowear smartwatch technology for voice and speech treatments of patients with parkinson s disease"
  Abstract: About 90 percent of people with Parkinson's disease (PD) experience decreased functional communication due to the presence of voice and speech disorders associated with dysarthria that can be characterized by monotony of pitch (or fundamental frequency), reduced loudness, irregular rate of speech, imprecise consonants, and changes in voice quality. Speech-language pathologists (SLPs) work with patients with PD to improve speech intelligibility using various intensive in-clinic speech treatments. SLPs also prescribe home exercises to enhance generalization of speech strategies outside of the treatment room. Even though speech therapies are found to be highly effective in improving vocal loudness and speech quality, patients with PD find it difficult to follow the prescribed exercise regimes outside the clinic and to continue exercises once the treatment is completed. SLPs need techniques to monitor compliance and accuracy of their patients exercises at home and in ecologically valid communication situations. We have designed EchoWear, a smartwatch-based system, to remotely monitor speech and voice exercises as prescribed by SLPs. We conducted a study of 6 individuals; three with PD and three healthy controls. To assess the performance of EchoWear technology compared with high quality audio equipment obtained in a speech laboratory. Our preliminary analysis shows promising outcomes for using EchoWear in speech therapies for people with PD. #R##N#Keywords: Dysarthria; knowledge-based speech processing; Parkinson's disease; smartwatch; speech therapy; wearable system.

Connected through hyperedge HE-1 (induced by source paper "a survey of fog computing and communication current researches and future directions"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "coding for distributed fog computing"
    - "the fog makes sense enabling social sensing services with limited internet connectivity"
    - "wireless caching technical misconceptions and business barriers"
    - "ifogsim a toolkit for modeling and simulation of resource management techniques in internet of things edge and fog computing environments"
    - "fog computing based radio access networks issues and challenges"
    - "the price of fog a data driven study on caching architectures in vehicular networks"

Connected through hyperedge HE-2 (induced by source paper "smartear smartwatch based unsupervised learning for multi modal signal analysis in opportunistic sensing framework"):
  with members:
    - "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"
    - "smart fog fog computing framework for unsupervised clustering analytics in wearable internet of things"
    - "soa fog secure service oriented edge computing architecture for smart health big data analytics"
    - "fog computing in medical internet of things architecture implementation and applications"
    - "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data"
    - "a multi smartwatch system for assessing speech characteristics of people with dysarthria in group settings"

Connected through hyperedge HE-3 (induced by source paper "smart fog fog computing framework for unsupervised clustering analytics in wearable internet of things"):
  with members:
    - "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"
    - "fog computing in medical internet of things architecture implementation and applications"
    - "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data"
    - "harmonic sum based method for heart rate estimation using ppg signals affected with motion artifacts"
    - "fit a fog computing device for speech teletreatments"
    - "a multi smartwatch system for assessing speech characteristics of people with dysarthria in group settings"
    - "fog data enhancing telehealth big data through fog computing"

Connected through hyperedge HE-4 (induced by source paper "fog computing in medical internet of things architecture implementation and applications"):
  with members:
    - "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"
    - "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data"
    - "harmonic sum based method for heart rate estimation using ppg signals affected with motion artifacts"
    - "foggis fog computing for geospatial big data analytics"
    - "fit a fog computing device for speech teletreatments"
    - "a multi smartwatch system for assessing speech characteristics of people with dysarthria in group settings"
    - "fog data enhancing telehealth big data through fog computing"

Connected through hyperedge HE-5 (induced by source paper "fog computing based sdi framework for mineral resources information infrastructure management in india"):
  with members:
    - "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"
    - "fog computing in medical internet of things architecture implementation and applications"
    - "foggis fog computing for geospatial big data analytics"
    - "comparative analysis of spatialhadoop and geospark for geospatial big data analytics"
    - "fit a fog computing device for speech teletreatments"
    - "fog computing principles architectures and applications"
    - "fog data enhancing telehealth big data through fog computing"

Connected through hyperedge HE-6 (induced by source paper "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"):
  with members:
    - "two bit networks for deep learning on resource constrained embedded devices"
    - "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data"
    - "fit a fog computing device for speech teletreatments"
    - "fog data enhancing telehealth big data through fog computing"

Connected through hyperedge HE-7 (induced by source paper "harmonic sum based method for heart rate estimation using ppg signals affected with motion artifacts"):
  with members:
    - "a robust diarization system for measuring dominance in peer led team learning groups"
    - "a speaker diarization system for studying peer led team learning groups"
    - "fit a fog computing device for speech teletreatments"
    - "a multi smartwatch system for assessing speech characteristics of people with dysarthria in group settings"
    - "photoplethysmography based heart rate monitoring in physical activities via joint sparse spectrum reconstruction"
    - "troika a general framework for heart rate monitoring using wrist type photoplethysmographic signals during intensive physical exercise"
    - "fog data enhancing telehealth big data through fog computing"

Connected through hyperedge HE-8 (induced by source paper "comparative analysis of spatialhadoop and geospark for geospatial big data analytics"):
  with members:
    - "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data"
    - "harmonic sum based method for heart rate estimation using ppg signals affected with motion artifacts"
    - "foggis fog computing for geospatial big data analytics"
    - "fit a fog computing device for speech teletreatments"
    - "a multi smartwatch system for assessing speech characteristics of people with dysarthria in group settings"
    - "fog data enhancing telehealth big data through fog computing"
    - "the anatomy of big data computing"

Question: Please tell me which class the center node 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.CY(Computers and Society)