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: "enhancing mind controlled smart living through recurrent neural networks"
  Abstract: While smart living based on the controls of voices, gestures, mobile phones or the Web has gained momentum from both academia and industries, most of existing methods are not effective in helping the elderly or people with muscle disordered or motor disabilities. Recently, the Electroencephalography (EEG) signal based mind control has attracted much attentions, due to the fact that it enables users to control devices and to communicate to outer world with little participation of their muscle systems. However, the use of EEG signals face challenges such as low accuracy, arduous and time-consuming feature extraction. This paper proposes a 7-layer deep learning model that includes two layers of Long-Short Term Memory (LSTM) cells to directly classify raw EEG signals, avoiding the time-consuming pre-processing and feature extraction. The hyper-parameters are selected by an Orthogonal Array experiment method to improve the efficiency. Our model is applied to an open EEG dataset released by PhysioNet and achieves 95.05% accuracy over 5 categorical EEG raw data. The applicability of our proposed model is further demonstrated by two use cases of smart living in terms of assisted living with robotics and home automation.

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)