nkysdb: なかよし論文データベース

古木 宏和 様の 共著関連データベース

Search this DB
using Google

+(A list of literatures under single or joint authorship with "古木 宏和")

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

    22: 古木 宏和

    4: 千木良 雅弘

    3: 倉上 健, 宮村 滋, 菅田 大輔, 鈴木 毅彦

    2: 中村 吉男, 吉田 一也, 坂本 琉, 堀松 崇, 宇津木 慎司, 安藤 伸, 寺田 圭宏, 山本 義幸, 松田 知也, 檜垣 大助, 田村 浩行, 竹内 祐太朗, 笠間 友博

    1: スレン ソッキアン, 一言 正之, 三木 拓也, 中川 渉, 加藤 暁之, 北川 眞一, 坂本 遥峰, 大山 誠, 太田 英将, 守随 治雄, 宮田 雄一郎, 小川 洋, 山田 和生, 川口 泰廣, 平田 康人, 徳永 博, 木下 篤彦, 末武 晋一, 松澤 真, 林 義隆, 櫻井 亘, 櫻本 智美, 益子 将和, 福田 謙太郎, 稲垣 裕, 網野 功輔, 藤平 大, 鈴木 聡樹


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

    2001: せん断方位の繰り返し反転による未固結堆積物の破壊構造(ポスターセッション) [Net] [Bib]
    Deformation microstructures in soft sediments by repeated shear inversion [Net] [Bib]

    2002: 花崗岩の風化初期段階におけるマイクロクラックの形成と花崗岩タイプとの関係 [Net] [Bib]
    The relationship between formation of microcracks in early weathering stage of granite and granite type [Net] [Bib]

    2005: 周縁部強度を未知数とした3次元安定解析手法の研究 [Net] [Bib]
    Study of the three dimensional stability analysis considering marginal friction effect estimated by back analysis [Net] [Bib]

    2013: 平成23年台風12号で発生した長殿地区深層崩壊発生斜面における岩盤破砕構造 [Net] [Bib]
    Crushed rock structure of the deep seated catastrophic landslide at Nagatono induced by typhoon 1112 [Net] [Bib]

    2016: 震生湖をつくった地すべりは神奈川から東京に広く分布する東京軽石層内にすべり面をもっていた(HDS17 04) [Net] [Bib]
    Shinseiko landslide induced by the great Kanto Earthquake had a sliding surface in the Tokyo Pumice, which is widely distributed in Kanagawa and Tokyo areas (HDS17 04) [Net] [Bib]

    2017: 1923年関東地震による震生湖地すべりの地質構造とその意義 [Net] [Bib]
    Geological Structure of the Shinseiko Landslide Induced by the 1923 Kanto Earthquake and its Significance [Net] [Bib]

    2019: ディープラーニングによる地すべり地形の自動抽出 精度と教師データの関係 [Net] [Bib]
    Automatic Extraction of Landslide Topography Using Deep Learning Relationship Between Accuracy and Training Data [Net] [Bib]

    2019: 南予地方で発生した土砂災害と地質特徴との関係~ローモンタイトの崩壊への影響~ [Net] [Bib]
    Relationship between geological features and sediment disasters that occurred in southern Ehime Prefecture The influence of laumontite on slope failures [Net] [Bib]

    2020: III. 斜面災害の調査報告 1 5. 埼玉県秩父地区 埼玉県西部で発生した斜面崩壊の特徴 [Net] [Bib]
    Characteristics of landslide disasters in the Neogene sedimntary rock distribution area in western Saitama Prefecture [Net] [Bib]

    2020: III. 斜面災害の調査報告 2 1. 宮城県丸森地区(1) 台風19号による宮城県丸森町で発生した斜面災害の調査結果 [Net] [Bib]
    Survey report of the landslide disaster in Marumori Town, Miyagi Prefecture caused by Typhoon No.19 (Hagibis) 2019 [Net] [Bib]

    2020: Long term rates of gravitational slope deformations on a low angle fault that forms a dip slope in the Shimanto Belt, in the Kanto Mountains (HDS09 06) [Net] [Bib]

    2020: 令和元年東日本台風による埼玉県西部で発生した斜面崩壊の特徴 [Net] [Bib]
    Characteristics of landslide disasters in the Neogene sedimentary rock distribution area in northern Saitama Prefecture [Net] [Bib]

    2021: 3次元地形情報を用いた深層学習による地すべり移動体抽出-学習データに用いる地形図と抽出精度の関係- [Net] [Bib]
    Extraction of landslide mass by deep learning using 3D topographical information : Significance of topographic map representation as training data [Net] [Bib]

    2022: 機械学習を活用した土質調査に関する基礎的研究 [Net] [Bib]
    Basic study on soil investigation applying machine learning [Net] [Bib]

    2022: 空間的不均一性・連続性に関する正規化処理による地すべり移動体の深層生成 [Net] [Bib]
    Deep generative model of landslide mass using spatial non uniformity and continuity of landslides [Net] [Bib]

    2023: ハイパースペクトルカメラと機械学習を用いた鉱物同定手法の研究 [Net] [Bib]
    A study of mineral classification methods using hyperspectral cameras and machine learning [Net] [Bib]

    2023: 応用地質分野における情報工学との協働-鉱物判定の自動化を例に(HRE12 04) [Net] [Bib]
    Collaboration between Information Technology and Applied Geology Automation identification method for minerals as an example (HRE12 04) [Net] [Bib]

    2023: 機械学習を用いた打音による地質材料区分の推定及び性能評価 [Net] [Bib]
    Estimation and Evaluation of Geologic Material Classification from Hammered Sounds Using Machine Learning [Net] [Bib]

    2023: 深層学習モデルによる地すべり移動体の画像生成における不確実性評価と性能向上手法の提案 [Net] [Bib]
    Uncertainty evaluation and proposals for performance improvement methodologies in image generation of landslide mass by deep learning models [Net] [Bib]

    2024: ハイパースペクトルカメラによる材料区分と目視判定可視化の試み [Net] [Bib]
    A study of mineral classification methods using hyperspectral cameras and machine learning [Net] [Bib]

    2024: 岩盤等級判定へのAI活用事例 ~先人の知見をAIで学習・可視化し,議論する~ [Net] [Bib]
    Al Application to Rock classification [Net] [Bib]

    2024: 打音による岩盤材料区分のAI判定とその精度検証 [Net] [Bib]
    Rock material classification by percussion using AI technology and verification of its accuracy [Net] [Bib]

About this page: