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: "design of low cost compact and weather proof whole sky imagers for high dynamic range captures"
  Abstract: Ground-based whole sky imagers are popular for monitoring cloud formations, which is necessary for various applications. We present two new Wide Angle High-Resolution Sky Imaging System (WAHRSIS) models, which were designed especially to withstand the hot and humid climate of Singapore. The first uses a fully sealed casing, whose interior temperature is regulated using a Peltier cooler. The second features a double roof design with ventilation grids on the sides, allowing the outside air to flow through the device. Measurements of temperature inside these two devices show their ability to operate in Singapore weather conditions. Unlike our original WAHRSIS model, neither uses a mechanical sun blocker to prevent the direct sunlight from reaching the camera; instead they rely on high-dynamic-range imaging (HDRI) techniques to reduce the glare from the sun.

Connected through hyperedge HE-1 (induced by source paper "high dynamic range imaging for cloud segmentation"):
  with members:
    - "systematic study of color spaces and components for the segmentation of sky cloud images"
    - "rough set based color channel selection"
    - "estimation of solar irradiance using ground based whole sky imagers"

Connected through hyperedge HE-2 (induced by source paper "nighttime sky cloud image segmentation"):
  with members:
    - "systematic study of color spaces and components for the segmentation of sky cloud images"
    - "color based segmentation of sky cloud images from ground based cameras"

Connected through hyperedge HE-3 (induced by source paper "rough set based color channel selection"):
  with members:
    - "systematic study of color spaces and components for the segmentation of sky cloud images"
    - "color based segmentation of sky cloud images from ground based cameras"

Connected through hyperedge HE-4 (induced by source paper "correlating satellite cloud cover with sky cameras"):
  with members:
    - "systematic study of color spaces and components for the segmentation of sky cloud images"
    - "analyzing cloud optical properties using sky cameras"

Connected through hyperedge HE-5 (induced by source paper "analyzing cloud optical properties using sky cameras"):
  with members:
    - "correlating satellite cloud cover with sky cameras"

Connected through hyperedge HE-6 (induced by source paper "detecting rainfall onset using sky images"):
  with members:
    - "estimation of solar irradiance using ground based whole sky imagers"

Connected through hyperedge HE-7 (induced by source paper "short term prediction of localized cloud motion using ground based sky imagers"):
  with members:
    - "systematic study of color spaces and components for the segmentation of sky cloud images"

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.CV(Computer Vision and Pattern Recognition)