07_math.bib

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@inproceedings{07_math-crowd_analysis-2023_Liu,
  pdf = {../20_pdf/07_math/0700_crowd_analysis/2023_Liu.pdf},
  author = {Xiufeng Liu and Huan Huo and Xu Cheng and Yongping Liu and Yanyan Yang and Nielsen, {Per Sieverts}},
  booktitle = {Proceedings of the 26th International Conference on Extending Database Technology (EDBT)},
  editor = {},
  title = {Understanding crowd energy consumption behaviors},
  year = {2023},
  doi = {10.48786/edbt.2023.68},
  pages = {799-802},
  keys = {07_math}
}

@misc{07_math-0702_hybrid_system-2025_Odunlami,
  pdf = {../20_pdf/07_math/0702_hybrid_system/2025_Odunlami.pdf},
  keys = {07_math},
  title = {Hybrid dynamical systems modeling of power systems},
  author = {B. G. Odunlami and M. Netto and Y. Susuki},
  year = {2025},
  eprint = {2509.02822},
  archiveprefix = {arXiv},
  primaryclass = {eess.SY},
  note = {薄先生が共著},
  url = {https://arxiv.org/abs/2509.02822}
}

@article{07_math-0703_etc-1991_mukai,
  pdf = {../20_pdf/07_math/0703_etc/1991_mukai.pdf},
  keys = {07_math},
  author = {向殿政男},
  title = {ファジィ理論とその応用},
  journal = {工業教育},
  issn = {1883-9002},
  publisher = {公益社団法人 日本工学教育協会},
  year = {1991},
  month = {1},
  volume = {39},
  number = {1},
  pages = {1_48-53},
  doi = {10.4307/jsee1953.39.1_1_48},
  url = {https://cir.nii.ac.jp/crid/1390016991333291776}
}

@article{07_math-0700_crowd_analysis-Yonetani_Yonetani,
  pdf = {../20_pdf/07_math/0700_crowd_analysis/Yonetani_Yonetani.pdf},
  keys = {07_math},
  author = {米谷竜},
  title = {連合学習入門},
  journal = {精密工学会誌},
  issn = {09120289},
  publisher = {公益社団法人 精密工学会},
  year = {2021},
  month = {08},
  volume = {87},
  number = {8},
  pages = {662-665},
  doi = {10.2493/jjspe.87.662},
  url = {https://cir.nii.ac.jp/crid/1390570408615404928}
}

@article{07_math-0700_crowd_analysis-2025_Tang,
  pdf = {../20_pdf/07_math/0700_crowd_analysis/2025_Tang.pdf},
  keys = {07_math},
  author = {Tang, Qingwei and Sun, Wei and Liu, Zhi and Xiao, Yang and Yuan, Xiaohui and Zhao, Chanjuan},
  journal = {IEEE Transactions on Transportation Electrification},
  title = {Collaborative Stability and Benefit Optimization of V2G Based on Multi-agent Graph Reinforcement Learning with Privacy Protection},
  year = {2025},
  volume = {},
  number = {},
  pages = {1-17},
  keywords = {Privacy;Reactive power;Power system stability;Voltage control;Vehicle-to-grid;Transportation;Training;Renewable energy sources;Regulation;Reactive power control;Active and Reactive Power Control;Electric Vehicles;EV;Multi-agent Reinforcement Learning;Federated Learning;Graph Convolutional Networks;Multi-objective optimization},
  doi = {10.1109/TTE.2025.3611807}
}

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