ホーム > 西尾 真由子/ Nishio, Mayuko

西尾 真由子

Nishio, Mayuko

システム情報系 , 准教授
Faculty of Engineering, Information and Systems , Associate Professor

https://www.kz.tsukuba.ac.jp/~nishio/

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Optical Flow‐Based Structural Anomaly Detection in Seismic Events From Video Data Combined With Computational Cost Reduction Through Deep Learning Sifan Wang; Taisei Saida; Mayuko Nishio
      Structural Control and Health Monitoring (2025)
  2. 2. Mainshock–aftershock seismic fragility assessment of civil structures: A state‐of‐the‐art review Muhammad Rashid; Mayuko Nishio
      Earthquake Engineering and Resilience 3: 548 (2024) Semantic Scholar
  3. 3. 視点重要度を考慮するUAV橋梁点検の飛行経路最適化と仮想空間内3Dモデルでの検証 佐藤駿成; 西尾真由子
      Artificial Intelligence and Data Science 5: 175 (2024)
  4. 4. System fragility analysis of highway bridge using multi-output Gaussian process regression surrogate model Taisei Saida; Muhammad Rashid; Mayuko Nishio
      Advances in Structural Engineering (2024) Semantic Scholar
  5. 5. Anomaly detection in structural dynamic systems via nonlinearity occurrence analysis using video data Sifan Wang; Mayuko Nishio
      Mechanical Systems and Signal Processing 216: 111506 (2024) Semantic Scholar
  6. 6. Enhancing prediction of landslide dam stability through AI models: A comparative study with traditional approaches Xianfeng Li; Mayuko Nishio; Kentaro Sugawara; Shoji Iwanaga (+4 著者) Pang-jo Chun
      Geomorphology 454: 109120 (2024) Semantic Scholar
  7. 7. Component‐level point cloud completion of bridge structures using deep learning Gen Matono; Mayuko Nishio
      Computer-Aided Civil and Infrastructure Engineering (2024) Semantic Scholar
  8. 8. Review for structural damage evaluation from video data in disasters focusing on structrual nonlinearity : from vision-based system identification to damage detection Wang, S; Nishio, M
      Smart Structures and Systems 33: 263 (2024)
  9. 9. 高速な深層学習メッシュフリー数値解析のためのニューラルモード分解の定式化と自由表面流れの再構成 的野 玄; 西尾 真由子
      日本計算工学会論文集 20241003: (2024)
  10. 10. Gaussian Process Regression Surrogate Model for Seismic Vulnerability Assessment of Highway Bridge Structure System Taisei Saida; Rashid Muhammad; Mayuko Nishio
      Lecture Notes in Civil Engineering 520 - 529 (2023)
  11. 11. System fragility evaluation of a curved highway bridge structure considering multi-direction seismic excitations Muhammad Rashid; Mayuko Nishio
      Advances in Structural Engineering (2023) Semantic Scholar
  12. 12. Surrogate Model Development for Slope Stability Analysis Using Machine Learning Xianfeng Li; Mayuko Nishio; Kentaro Sugawara; Shoji IwanagaPang-jo Chun
      Sustainability 15: 10793 (2023) Semantic Scholar
  13. 13. Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties Taisei Saida; Mayuko Nishio
      Computers & Structures 281: 107014 (2023) Semantic Scholar
  14. 14. TL-GPRSM: A python software for constructing transfer learning Gaussian process regression surrogate model with explainability Taisei Saida; Mayuko Nishio
      Software Impacts 100515 (2023) Semantic Scholar
  15. 15. CNN-based segmentation frameworks for structural component and earthquake damage determinations using UAV images Taisei Saida; Muhammad Rashid; Yudai Nemoto; Shota Tsukamoto (+1 著者) Mayuko Nishio
      Earthquake Engineering and Engineering Vibration 22: 359 (2023) Semantic Scholar
  16. 16. Gaussian process regression surrogate model for dynamic analysis to account for uncertainties in seismic loading Taisei Saida; Mayuko Nishio
      Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023 (2023) Semantic Scholar
  17. 17. 局所損傷を有する構造物のデータ同化性能評価に向けた画像ひずみ分布計測の適用性検討 佐藤 開; 西尾 真由子
      構造工学論文集Ａ 69A: 139 (2023)
  18. 18. Damage Evaluation in Earthquake Events by Nonlinearity Extraction from Video Data: Experiment Verification Sifan Wang; Mayuko Nishio
      (2023)
  19. 19. Finite Element Modeling of Thin-Walled Steel Structural Members from 3D Point Clouds Tomoya Nakamizo; Mayuko Nishio
      (2023)
  20. 20. System Fragility Analysis of a Horizontally Curved Multi-span Highway Bridge Structure Muhammad Rashid; Mayuko Nishio
      (2023)
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書籍等出版物情報はまだありません。

  1. 1. PINNを用いた圧密沈下予測とパラメータの推定 久保栞; 西尾真由子; 井上純哉; 宮本崇; 全邦釘
    第23回計測自動制御学会システムインテグレーション部門講演会SI2022 2022年12月
  2. 2. Capacity evaluation of existing bridges by integration of SHM data and numerical analysis
    11th International Conference on Structural Health Monitoring of Intelligent Infrastructure 2022年8月 招待有り
  3. 3. Physics-Informed Neural Networks for Prediction of Ground Settlement
    15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022年8月
  4. 4. System Fragility Analysis of a Geometrically Complex Bridge System for Seismic Risk Evaluation of Existing Highway Bridge Network
    8th World Conference on Structural Control and Monitoring 2022年7月
  5. 5. Dynamic response evaluation of an existing bridge structure based on Finite Element Modelling Rashid, M; Nishio, M
    9th Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2021) 2021年9月
  6. 6. 地震発生後の車両通行性に着目した既存橋梁システムのフラジリティ解析 サキャ 摩耶; 西尾 真由子
    第23回応用力学シンポジウム 2020年5月16日
  7. 7. Bayesian posterior distributions of nonlinear model parameters by using varying seismic responses Tran, T; Nishio, M
    Engineering Mechanics Institute (EMI) Conference 2018 2018年5月29日
  8. 8. 深層カーネル学習サロゲートモデルによる高次元不確定性をもつ構造信頼性解析の効率化 才田 大聖; 西尾 真由子
    第28回計算工学講演会
  9. 9. PINN 構造振動解析の AR によるリアルタイム可視化 奥田 東子; 西尾 真由子; 才田 大聖; 的野 玄
    第28回計算工学講演会
  10. 10. 地震荷重特徴抽出を備えた深層カーネル学習代替モデルによる地震リスク解析の効率化 才田 大聖; 西尾 真由子
    第26回応用力学シンポジウム
  11. 11. PINNを用いたリアルタイム構造振動解析の構築 奥田 東子; 西尾 真由子
    第26回応用力学シンポジウム
  12. 12. Detect and evaluate undesired nonlinearities in engineering structural dynamics
    IUTAM Symposium on Nonlinear dynamics for design of mechanical systems across different length/time scales
  13. 13. SPH法に基づく微分演算を内包した深層学習による粒子法代替モデルの説明性向上 的野 玄; 才田 大聖; 西尾 真由子
    第28回計算工学講演会

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