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: "an internet of things framework for smart energy in buildings designs prototype and experiments"
  Abstract: Smart energy in buildings is an important research area of Internet of Things (IoT). As important parts of the smart grids, the energy efficiency of buildings is vital for the environment and global sustainability. Using a LEED-gold-certificated green office building, we built a unique IoT experimental testbed for our energy efficiency and building intelligence research. We first monitor and collect 1-year-long building energy usage data and then systematically evaluate and analyze them. The results show that due to the centralized and static building controls, the actual running of green buildings may not be energy efficient even though they may be “green” by design. Inspired by “energy proportional computing” in modern computers, we propose an IoT framework with smart location-based automated and networked energy control, which uses smartphone platform and cloud-computing technologies to enable multiscale energy proportionality including building-, user-, and organizational-level energy proportionality. We further build a proof-of-concept IoT network and control system prototype and carried out real-world experiments, which demonstrate the effectiveness of the proposed solution. We envision that the broad application of the proposed solution has not only led to significant economic benefits in term of energy saving, improving home/office network intelligence, but also bought in a huge social implication in terms of global sustainability.

Connected through hyperedge HE-1 (induced by source paper "iot platforms for 5g network and practical considerations a survey"):
  with members:
    - "fog computing based radio access networks issues and challenges"
    - "fronthauling for 5g lte u ultra dense cloud small cell networks"
    - "collaborative mobile edge computing in 5g networks new paradigms scenarios and challenges"
    - "network function virtualization state of the art and research challenges"
    - "fog computing focusing on mobile users at the edge"
    - "a survey on internet of things from industrial market perspective"
    - "five disruptive technology directions for 5g"

Connected through hyperedge HE-2 (induced by source paper "energy efficient thermal comfort control in smart buildings via deep reinforcement learning"):
  with members:
    - "continuous control with deep reinforcement learning"

Connected through hyperedge HE-3 (induced by source paper "the internet of things fog and cloud continuum integration and challenges"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "mathbb echo an adaptive orchestration platform for hybrid dataflows across cloud and edge"
    - "an iot endpoint system on chip for secure and energy efficient near sensor analytics"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "from network sharing to multi tenancy the 5g network slice broker"
    - "internet of things iot a vision architectural elements and future directions"
    - "optimal power cost management using stored energy in data centers"

Connected through hyperedge HE-4 (induced by source paper "iot for green building management"):
  with members:
    - "sensor fusion for public space utilization monitoring in a smart city"
    - "automatic hvac control with real time occupancy recognition and simulation guided model predictive control in low cost embedded system"
    - "ssd single shot multibox detector"
    - "speed accuracy trade offs for modern convolutional object detectors"

Connected through hyperedge HE-5 (induced by source paper "smart buildings as cyber physical systems data driven predictive control strategies for energy efficiency"):
  with members:
    - "deep learning in neural networks"
    - "learning agent for a heat pump thermostat with a set back strategy using model free reinforcement learning"
    - "experimental analysis of data driven control for a building heating system"
    - "representation learning a review and new perspectives"

Connected through hyperedge HE-6 (induced by source paper "internet of things aided smart grid technologies architectures applications prototypes and future research directions"):
  with members:
    - "5g mobile cellular networks enabling distributed state estimation for smart grids"
    - "a cloud based and restful internet of things platform to foster smart grid technologies integration and re usability"
    - "context aware computing for the internet of things a survey"
    - "smart grid communications overview of research challenges solutions and standardization activities"
    - "relaying technologies for smart grid communications"
    - "internet of things applications and challenges in technology and standardization"

Connected through hyperedge HE-7 (induced by source paper "distributed real time hvac control for cost efficient commercial buildings under smart grid environment"):
  with members:
    - "decentralized and distributed temperature control via hvac systems in energy efficient buildings"
    - "distributed real time power balancing in renewable integrated power grids with storage and flexible loads"
    - "robust energy constrained frequency reserves from aggregations of commercial buildings"
    - "distributed real time energy management in data center microgrids"
    - "adaptive electricity scheduling in microgrids"

Connected through hyperedge HE-8 (induced by source paper "machine learning for internet of things data analysis a survey"):
  with members:
    - "deep learning in neural networks"
    - "deep residual learning for image recognition"

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.NI(Networking and Internet Architecture)