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: "coupling of crop assignment and vehicle routing for harvest planning in agriculture"
  Abstract: A method for harvest planning based on the coupling of crop assignment with vehicle routing is presented. Given multiple fields (up to hundreds), a path network connecting fields, multiple depots at which a number of harvesters are initially located, the main question addressed is: which crop out of a set of different crops to assign to each field. It must be answered by every farm manager at the beginning of every yearly work-cycle starting with plant seeding and ending with harvesting. Rather than solving a pure assigment problem, we also account for connectivity between fields. In practice, fields are often located distant apart. Traveling costs of machinery and limited harvesting windows demand optimized operation and route planning. The proposed method outputs crop assignment to fields and simultaneously determines an optimized sequence in which to service fields of the same crop during harvest. The described scenario is of particular relevance for larger farms and groups of farms that collaborate and share machinery. We derive integer programming (IP) based exact algorithms. For large numbers of fields, where exact algorithms are not tractable anymore, elements of clustering and the solution of local Traveling Salesman Problems (TSP) are added, thereby rendering the method heuristic, but also large-scale applicable.

Connected through hyperedge HE-1 (induced by source paper "design and implementation of a novel precision irrigation robot based on an intelligent path planning algorithm"):
  with members:
    - "lifelong federated reinforcement learning a learning architecture for navigation in cloud robotic systems"
    - "federated imitation learning a novel framework for cloud robotic systems with heterogeneous sensor data"
    - "a comprehensive survey on transfer learning"

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.SY(Systems and Control)