nkysdb: なかよし論文データベース

松野 哲士 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 "松野 哲士")

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

14: 松野 哲士

9: 土屋 範芳, 宇野 正起

7: 岡本 敦

3: 加藤 湧也

2: Mindaleva Diana, ミンダレヴァ ディアナ, 島田 智久

1: Astin Nurdiana, Diana Mindaleva, ゲリ アゴロイ, ディアナ ミンダレワ, 奈良 拓実, 山崎 慎一, 星田 昌慶, 東野 文子, 河上 哲生, 足立 達郎

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

2020: 機械学習を用いた玄武岩起源変成岩の原岩化学組成および物質移動量の推定(MGI39 P04) [Net] [Bib]
Estimation of mass transfer and protolith composition for mafic metamorphic rocks using machine learning (MGI39 P04) [Net] [Bib]

2021: High mobility of Sr and Ba in subduction related metamorphism: Application of Machine learning mass transfer analyses to mafic shists, the Sanbagawa belt (SMP25 02) [Net] [Bib]

2022: Elemental mobility during seafloor alteration of oceanic crust revealed by machine learning approach (SCG56 02) [Net] [Bib]

2022: Machine Learning Geochemical Discrimination of Muddy Tsunami Deposits in NE Japan by Using SVM, Random Forest, and UMAP. (MGI34 P06) [Net] [Bib]

2022: 海洋底変質に伴う定量的な元素移動量とその支配パラメーター：北西太平洋と南太平洋の元素移動形態の相違 [Net] [Bib]
Intensity evaluation of of element transfer and its controlling parameters: Differences between Northwest and South Pacific oceanic plates. [Net] [Bib]

2023: Quantifying metamorphic elemental transfer history for fluid rock interaction by combining machine learning and mineral records (MIS13 13) [Net] [Bib]

2023: 変成岩・火成岩の化学組成に対する機械学習の適用：定量的元素濃度変化量の推定による沈み込み帯流体流動の解明にむけて [Net] [Bib]
Machine learning application to igneous and metamorphic rock compositions: Quantitative estimation of compositional changes recorded in subduction related metamorphic rocks [Net] [Bib]

2023: 機械学習によるREEパターン識別を用いた金属トレーサビリティ技術 : タングステン鉱物から原材料まで(HTT15 06) [Net] [Bib]
Metal Traceability Technology Using REE Pattern Identification Rare Earth Patterns by Machine Learning : From Tungsten Minerals to Raw Materials (HTT15 06) [Net] [Bib]

2023: 機械学習を用いたREEパターン識別によるタングステン鉱物から製品までの金属トレーサビリティ技術 [Net] [Bib]
Metal traceability technology from tungsten minerals to products by REE pattern identification using machine learning [Net] [Bib]

2023: 機械学習を用いた東日本及び中部地方における津波堆積物の多次元地化学データの包括的解析(MGI29 P01) [Net] [Bib]
Comprehensive Analysis of Multidimensional Geochemical Data of Tsunami Deposits in Eastern and Central Japan Using Machine Learning (MGI29 P01) [Net] [Bib]

2023: 火山性深部低周波地震とマグマ貫入の関連可能性を示す地質学的記録：高温変成岩中のマグマ貫入の記録 [Net] [Bib]
Geological records of magma intrusion possibly related to subvolcanic deep low frequency earthquakes [Net] [Bib]

2024: タングステン鉱物から製品材料までの高次元化学組成データの次元圧縮によるトレーサビリティ技術の開発(HRE13 03) [Net] [Bib]
Development of traceability technology by dimensional compression of high dimensional chemical composition data from tungsten minerals to product materials (HRE13 03) [Net] [Bib]

2024: 掘削カッティングスを用いた長石温度計による地熱貯留層の温度構造推定：葛根田花崗岩による検討 [Net] [Bib]
Estimation of the thermal structure of geothermal reservoirs by feldspar geothermometer using drilling cuttings: Case study for Kakkonda granite [Net] [Bib]

2024: 泥質 苦鉄質片岩の岩相境界に残された沈み込み帯上盤プレートの流体流路の痕跡(SCG46 12) [Net] [Bib]
Traces of fluid pathway in underplating oceanic crust left at the lithologic boundary of pelitic and mafic schist (SCG46 12) [Net] [Bib]