nkysdb: なかよし論文データベース
伊藤 伸一 様の 共著関連データベース
+(A list of literatures under single or joint authorship with "伊藤 伸一")
共著回数と共著者名 (a list of the joint author(s))
33: 伊藤 伸一
30: 長尾 大道
16: 加納 将行
6: 小原 一成, 平田 直, 酒井 慎一, 金子 亮介, 鶴岡 弘
5: 山田 圭吾
4: 森川 耕輔
2: 上木 賢太, 中川 茂樹, 堀 宗朗, 安藤 康伸, 松村 太郎次郎, 桑山 靖弘
1: 中原 明生, 中尾 篤史, 仲小路 理史, 宮武 勇登, 平賀 岳彦, 松村 充, 松田 孟留, 楠井 俊朗, 湯川 諭, 石川 大智
発行年とタイトル (Title and year of the issue(s))
2016: レプリカ交換モンテカルロ法を用いた首都圏地震動イメージング
Seismic wavefield imaging based on the replica exchange Monte Carlo method
2017: Diffusion creep and grain growth in forsterite +15vol% enstatite aggregate (SCG74 02)
2018: Seismic Wavefield Imaging of Long Period Ground Motion in the Tokyo Metropolitan Area, Japan (MGI27 10)
2019: 大規模4次元変分法データ同化に基づくスロースリップ断層面における摩擦特性不均一性の不確実性評価(S09P 23)
Uncertainty quantification via large scale 4DVar data assimilation for frictional inhomogeneity in a slow slipping fault (S09P 23)
2020: Bayesian modeling of the equation of state for liquid iron under high P and high T conditions corresponding to the Earth’s outer core (MGI39 08)
2020: Prediction of Aftershocks With Gaussian Process Regression: Application to the 2004 Chuetsu Earthquake (STT52 04)
2020: Twin Experiment of 4DVar Capable of Uncertainty Quantification Based on Seismic Wavefield Propagation (STT52 P06)
2020: Uncertainty Quantification for Inhomogeneous Frictional Features in a Slow Slipping Fault Based on a Large Scale Four Dimensional Variational Data Assimilation (STT52 02)
2020: 畳み込みニューラルネットワークに基づく地震波形画像からの深部低周波 微動検出に向けた数値実験(S24P 06)
Numerical experiments towards detection of deep low frequency tremors from seismic waveform images via convolutional neural network (S24P 06)
2021: Adjoint based uncertainty quantification of frictional inhomogeneity on slow slipping fault (STT37 P06)
2021: Bayesian modeling of the equation of state by integration of various data sets for liquid iron in Earth’s outer core (MGI33 P02)
2021: Convolutional Neural Network to Detect Deep Low Frequency Tremors from Seismic Waveform Images (STT37 P02)
2021: Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression (STT37 P04)
2021: ガウス過程回帰を用いた本震直後における余震分布の推定(S23 12)
Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression (S23 12)
2021: シンプレクティックアジョイント法に基づく超高精度不確実性定量化法と地震学への応用(S23 02)
Symplectic adjoint based exact uncertainty quantification method and its applications to seismology (S23 02)
2021: スパース観測による地震波動場再構成に向けたセンサー選択 (第一報: 支配方程式の線形化モデルに基づく手法の提案とその評価)(STT37 05)
Sensor Selection for Seismic Wavefield Reconstruction based on Sparse Observation (Part I. Proposal and Evaluation on Method based on Linearized Model of Governing Equation) (STT37 05)
2021: スパース観測による地震波動場再構成に向けたセンサー選択 (第二報: データ駆動型低次元モデルに基づく手法に関する初期検討)(STT37 P07)
Sensor selection for seismic wavefield reconstruction based on sparse observation (Part II: Preliminary study on method based on data driven low dimensional model) (STT37 P07)
2021: 地震連続波形画像からの深部低周波微動検出に向けた畳み込みニューラルネットワークの構築(S22 01)
Construction of Convolutional Neural Network to Detect Deep Low Frequency Tremors from Seismic Waveform Images (S22 01)
2022: Fast and high precision estimation for temporal variation of aftershocks immediately after a main shock with Gaussian process regression (STT40 P01)
2022: Symplectic adjoint based uncertainty quantification method for large scale data assimilation problems (MGI29 P03)
2022: シンプレクティックアジョイント法に基づくスロースリップ断層面の摩擦不均一性の不確実性評価(S23P 02)
Symplectic adjoint based uncertainty quantification of frictional inhomogeneity on slow slipping fault (S23P 02)
2022: シンプレクティックアジョイント法に基づくスロースリップ断層面上の摩擦空間不均一性の不確実性評価(STT40 P07)
Symplectic adjoint based uncertainty quantification of frictional inhomogeneity on slow slipping fault (STT40 P07)
2022: データ駆動型低次元モデルとスパース観測による地震波動場再構成手法の提案(STT40 P04)
Proposal of Seismic Wavefield Reconstruction Method based on Data Driven Reduced Order Model and Sparse Observation (STT40 P04)
2022: データ駆動型低次元モデルを用いた圧縮センシングの地震波動場再構成への適用(S23 07)
Application of compressed sensing using data driven reduced order model to seismic wavefield reconstruction (S23 07)
2022: プロセス駆動型地震波動場再構成に向けた物理モデルパラメタ感度に基づく観測点選択手法の開発(S23 06)
Development of Observation Site Selection Method based on Sensitivity to Physical Model Parameters toward Process driven Seismic Wavefield Reconstruction (S23 06)
2022: プロセス駆動型地震波動場再構成に向けた物理モデルパラメタ推定のための観測点選択手法の提案(STT40 P05)
Proposal of Selection Method of Observation Sites for Physical Model Parameter Estimation toward Process Driven Seismic Wavefield Reconstruction (STT40 P05)
2022: 収縮亀裂パターンの動的統計則に現れる相転移的性質(SCG49 01)
Transition properties in dynamical and statistical features of shrinkage induced crack patterns (SCG49 01)
2022: 畳み込みニューラルネットワークによる地震波形古記録からの深部低周波微動の検出(STT40 05)
Detection of Deep Low Frequency Tremors from Past Seismograms Based on Convolutional Neural Network (STT40 05)
2022: 畳み込みニューラルネットワークに基づく西南日本で得られた地震波形紙記録からの深部低周波微動の検出(S21 02)
Detection of Deep Low Frequency Tremors from Continuous Paper Records at a Station in Southwest Japan About 50 Years Ago Based on Convolutional Neural Network for Seismogram Images (S21 02)
2023: Detection of Deep Low Frequency Tremors from Continuous Paper Records at a Station in Southwest Japan About 50 Years Ago Based on Convolutional Neural Network (STT44 P05)
2023: アジョイント法を用いたマントルの熱対流の復元(SCG56 01)
Reconstruction of mantle thermal convection using adjoint based data assimilation (SCG56 01)
2023: プロセス駆動型地震波動場再構成に向けた物理モデルパラメタ推定のための観測点選択(STT44 P08)
Observation Site Selection for Physical Model Parameter Estimation toward Process Driven Seismic Wavefield Reconstruction (STT44 P08)
2024: 深層学習を用いた地震波形データからの低周波微動を特徴づける確率微分方程式表現の獲得(STT38 P07)
Acquisition of stochastic differential equation representations to characterize low frequency tremors in seismic waveform data using deep learning (STT38 P07)