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雨澤 勇太 様の 共著関連データベース

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+(A list of literatures under single or joint authorship with "雨澤 勇太")

共著回数と共著者名 (a list of the joint author(s))

    20: 雨澤 勇太

    11: 内出 崇彦

    9: 椎名 高裕

    6: 小菅 正裕

    5: 前田 拓人, 堀川 晴央

    4: 今西 和俊, 深山 覚, 緒方 淳, 黒田 大貴

    2: 佐藤 圭浩, 寒河江 皓大

    1: 佐脇 泰典, 大坪 誠, 大類 樹, 宮川 歩夢, 平松 良浩, 春山 太一, 松野 有希, 石田 早裕美, 笠原 敬二, 野口 科子, 高野 智也


発行年とタイトル (Title and year of the issue(s))

    2017: 秋田県森吉山周辺における散乱体位置の推定 散乱波へのセンブランス解析の適用 (S06 05) [Net] [Bib]
    Estimate of the scatterer location around the Moriyoshi zan volcano in Akita prefecture: application of semblance analysis to scattered waves (S06 05) [Net] [Bib]

    2018: 秋田県森吉山周辺において観測されたS S散乱波の波形形状の時間変化(S21 P03) [Net] [Bib]
    Temporal change in S S scattered waveforms observed around the Moriyoshi zan volcano in Akita prefecture (S21 P03) [Net] [Bib]

    2019: 森吉山地域の群発地震に見られる特徴的な散乱波群の波形形状の時間変化とその要因(S09P 21) [Net] [Bib]
    Temporal changes in the scattered wave packets associated with earthquake swarm activity beneath the Moriyoshi volcano (S09P 21) [Net] [Bib]

    2020: 函館市付近の浅部低周波地震と通常地震が混在する地震活動を対象とした稠密地震観測(SSS13 P06) [Net] [Bib]
    Seismic observation for an anomalous activity of shallow low frequency events mixed with normal earthquakes at Hakodate (SSS13 P06) [Net] [Bib]

    2020: 群発地震の継続期間と震源マイグレーションの拡散係数の関係(S09 16) [Net] [Bib]
    Relationship between migration diffusivity and the duration of earthquake swarms (S09 16) [Net] [Bib]

    2021: 森吉山の群発地震における地震活動および波形相関の時空間変化(S09 14) [Net] [Bib]
    Spatio temporal change in seismicity and waveform correlation of an earthquake swarm at Moriyoshi volcano (S09 14) [Net] [Bib]

    2022: 後続波を用いた茨城県北部における地殻内反射面の推定(S06 07) [Net] [Bib]
    An estimation of the crustal reflector in the north Ibaraki area using S wave later phases (S06 07) [Net] [Bib]

    2022: 長期継続している能登半島北東部の群発地震-震源マイグレーションの評価および駆動メカニズムの考察-(S09 05) [Net] [Bib]
    Long living earthquake swarm at the NE of Noto peninsula –Hypocenter migration and driving mechanism– (S09 05) [Net] [Bib]

    2022: 1次元畳み込みニューラルネットワークによるS波後続波の自動検出(S21P 01) [Net] [Bib]
    Automatic detection of S wave later phase by 1D convolutional neural network (S21P 01) [Net] [Bib]

    2023: 地殻内断層面の客観的検出に向けて:震源分布二段階クラスタリング法の適用(S21P 10) [Net] [Bib]
    Hypocenter based Visualization of Multiscale Earthquake Faults: Application to Crustal Earthquakes in Japan Islands (S21P 10) [Net] [Bib]

    2023: 時空間ハフ変換による震央マイグレーションの抽出: 能登半島北東部の群発地震への適用(SSS10 P11) [Net] [Bib]
    Extraction of epicentral migration by a space time Hough transform: Application to earthquake swarm beneath the NE Noto Peninsula, Japan (SSS10 P11) [Net] [Bib]

    2023: 深層学習を活用した日本列島内陸におけるS波後続波の網羅的検出(S21P 05) [Net] [Bib]
    Comprehensive detection of later phase in S coda throughout the inland Japanese archipelago with deep learning (S21P 05) [Net] [Bib]

    2023: 深層学習モデルに基づくS波後続波の網羅的検出―森吉山地域の群発地震への適用―(SCG55 06) [Net] [Bib]
    Comprehensive detection of S wave later phase with deep learning: Application for a seismic swarm around the Moriyoshi volcano (SCG55 06) [Net] [Bib]

    2023: 能登半島北東部の群発地震に伴う震源マイグレーションの駆動過程(S22P 03) [Net] [Bib]
    Driving processes behind hypocenter migration associated with earthquake swarms in the northeastern Noto Peninsula, Japan (S22P 03) [Net] [Bib]

    2023: 茨城県北部における地殻内反射面と地殻深部構造に対する解釈(SSS08 P03) [Net] [Bib]
    Deep crustal structure in the north Ibaraki area inferred from a distribution of the crustal reflector (SSS08 P03) [Net] [Bib]

    2023: 震源位置および発震機構解データから断層群を推定するための有限混合モデル(SCG55 P10) [Net] [Bib]
    A finite mixture model for inferring a fault network from hypocentral locations and focal mechanisms (SCG55 P10) [Net] [Bib]

    2024: S波反射波から解釈される地殻深部の流体分布と地震発生層下限深さとの関係 [Net] [Bib]

    2024: S波後続波の網羅的検出に基づく日本列島内陸部における地殻内反射面の探索(S06P 14) [Net] [Bib]
    An explore of crustal reflector based on comprehensive detection of S wave later phase in Japan (S06P 14) [Net] [Bib]

    2024: 令和6 年能登半島地震に先行して長期継続した群発地震 [Net] [Bib]
    Long lived earthquake swarm preceded the 2024 Noto Peninsula earthquake [Net] [Bib]

    2024: 後続波と機械学習を活用した地震発生領域における不均質構造探査(SSS05 03) [Net] [Bib]
    Exploring the strong heterogeneities in the seismogenic environment using seismic later phase and machine learning (SSS05 03) [Net] [Bib]

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