نتائج البحث - "Yasushi MINOWA"

1

Academic Journal

Identification of coniferous tree species using deep learning / 深層学習を用いた針葉樹の樹種判別

المؤلفون: Shun Nakatsukasa, Yasushi Minowa, 中司駿, 美濃羽靖

المصدر: 森林計画学会誌 / Japanese Journal of Forest Planning. 2022, 56(1):13

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2

Academic Journal

Model construction for estimating risk of driftwood by topographical factors

المؤلفون: Keiko Nagashima, Nene Kakihara, Yasushi Minowa

المصدر: The Japanese Forest Society Congress. 2022, :525

3

Academic Journal

Estimating site index of Japanese cypress forest using machine learning

المؤلفون: Hanano Mukai, Keiko Nagashima, Yasushi Minowa

المصدر: The Japanese Forest Society Congress. 2022, :264

4

Academic Journal

Relationship between sample size and classification accuracy for tree species identification based on leaf shape / 葉の形状特徴を用いた樹種判別におけるサンプルサイズと判別精度

المؤلفون: Tsukumo Nakanishi, Yasushi Minowa, 中西白, 美濃羽靖

المصدر: 森林計画学会誌 / Japanese Journal of Forest Planning. 2022, 55(2):61

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5

Academic Journal

A Deep Learning-Based Model for Tree Species Identification Using Pollen Grain Images

المؤلفون: Yasushi Minowa, Koharu Shigematsu, Hikaru Takahara

المصدر: Applied Sciences, Vol 12, Iss 24, p 12626 (2022)

مصطلحات موضوعية: AlexNet, Caffe, deep learning, F score, focal point, GoogLeNet, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/24/12626; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/56891272a42d44e98ca57813c9bc1174

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6

Academic Journal

Estimation of Tree Height and Volume Based on the Produced Hammering Sound Using Deep Learning / 深層学習を用いた樹幹からの打撃音に基づく樹高および材積の推定

المؤلفون: Makoto Wada, Tsumugi Tanaka, Yasushi Minowa, 和田誠, 田中紡, 美濃羽靖

المصدر: 日本森林学会誌 / Journal of the Japanese Forest Society. 2021, 103(5):351

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7

Academic Journal

Physical attenuation effects of forest spaces on noises / 森林空間がもたらす騒音に対する音の物理的減衰効果

المؤلفون: Akane Kaneda, Akihiro Miyagi, Mao Kawamura, Yasushi Minowa, Yuhka Mori, 宮城昭博, 川村真央, 森有花, 美濃羽靖, 金田茜

المصدر: 森林計画学会誌 / Japanese Journal of Forest Planning. 2021, 54(2):93

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8

Academic Journal

ALSデータとタイルポリゴンを使用した路網バッファー別材積の推定 / Estimating wood volume by road network buffer using ALS data and tile polygons

المؤلفون: Hiromi Shiota, Kazuhiro Tanaka, Keiko Nagashima, Yasushi Minowa, 塩田廣美, 田中和博, 美濃羽靖, 長島啓子

المصدر: The Japanese Forest Society Congress. 2021, :316

9

Academic Journal

Convolutional Neural Network Applied to Tree Species Identification Based on Leaf Images

المؤلفون: Yasushi Minowa, Yui Nagasaki

المصدر: Journal of Forest Planning. 2020, 26:1

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10

Academic Journal

Tree species identification based on venation patterns of leaf images photographed with a mobile device in the outdoors / 携帯端末で野外撮影した葉の葉脈情報を用いた樹種判別

المؤلفون: Keita Asao, Yasushi Minowa, 浅生啓太, 美濃羽靖

المصدر: 森林計画学会誌 / Japanese Journal of Forest Planning. 2020, 53(2):43

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11

Academic Journal

Association between Visual Stem Indicators in Tree Marking Operation for Natural Forest Management Under Selection System: An Analysis Using Bayesian Network / 天然林択伐施業の選木作業における立木外観指標間の関連性

المؤلفون: Hiroshi Inukai, Tohru Nakajima, Toshiaki Owari, Yasushi Minowa, 中島徹, 尾張敏章, 犬飼浩, 美濃羽靖

المصدر: 日本森林学会誌 / Journal of the Japanese Forest Society. 2019, 101(6):278

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12

Academic Journal

Identification of tree species using a machine learning algorithm based on leaf shape and venation pattern / 葉の形状および葉脈情報を用いた機械学習による樹種判別

المؤلفون: Masahiko Suguri, Moeko Ashida, Raki Takami, Yasushi Minowa, Yuhsuke Yoshimura, 吉村勇祐, 村主勝彦, 美濃羽靖, 芦田萌子, 高味楽生

المصدر: 森林計画学会誌 / Japanese Journal of Forest Planning. 2019, 53(1):1

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13

Academic Journal

ALSを利用したエコトープ別平均樹高の解析と推定－京丹波町スギ人工林ー / Analysis and Estimation of average tree height by ecotope from ALS

المؤلفون: Hiromi Shiota, Kazuhiro Tanaka, Keiko Nagashima, Yasushi Minowa, 塩田廣美, 田中和博, 美濃羽靖, 長島啓子

المصدر: The Japanese Forest Society Congress. 2018, :79

14

Academic Journal

Extraction of Decision Rules for Tree Marking in a Natural Forest under a Selection System A Machine Learning Approach. / 天然林択伐施業における選木規則の抽出

المؤلفون: Hiroshi Inukai, Tohru Nakajima, Toshiaki Owari, Yasushi Minowa, 中島徹, 尾張敏章, 犬飼浩, 美濃羽靖

المصدر: 日本森林学会誌 / Journal of the Japanese Forest Society. 2018, 100(6):208

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15

Academic Journal

Effects of Visual Stem Indicators and Tree Markers’ Experiences for Tree-marking Decisions in Natural Forest Management under the Selection System / 立木の外観指標と選木者の選木経験が天然林択伐施業の選木意思決定に及ぼす影響

المؤلفون: Hiroshi Inukai, Toru Nakajima, Toshiaki Owari, Yasushi Minowa, 中島徹, 尾張敏章, 犬飼浩, 美濃羽靖

المصدر: 日本森林学会誌 / Journal of the Japanese Forest Society. 2018, 100(2):37

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16

Academic Journal

ALS(Airborne Laser Scan)データを活用した地位指数の推定 / Estimation of site quality index by utilizing the data of ALS (Airborne Laser Scan)

المؤلفون: Hideaki Suzuki, Hiromi Shiota, Hiroyuki Okada, Kazuhiro Tanaka, Keiko Nagashima, Satoshi Yoshida, Yasushi Minowa, 吉田聡, 塩田廣美, 岡田広行, 田中和博, 美濃羽靖, 鈴木秀明, 長島啓子

المصدر: The Japanese Forest Society Congress. 2017, :55

17

Academic Journal

Tree marking techniques in the stand-based forest management system: Work behavior of tree markers under selection system / 林分施業法の選木技術－択伐施業における選木者の作業行動－

المؤلفون: Eiichi NOBU, Masaki MATSUI, Tetsuyuki KOBAYASHI, Toshiaki OWARI, Yasushi MINOWA, Yoshinori EGUCHI, 小林徹行, 尾張敏章, 延栄一, 松井理生, 江口由典, 美濃羽靖

المصدر: 北方森林研究 / Boreal Forest Research. 2018, 66:79

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18

Academic Journal

Examination of a Classification Model for Damaged Areas of Windfall Trees:Data Analysis for Damage Caused by Typhoon No. 23 in October 2004

المؤلفون: Yasushi Minowa, Yoko Hirao

المصدر: Journal of Forest Planning. 2015, 20(1):1

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19

Academic Journal

Generalizability and Accuracy of Site Index Estimation Model with Ensemble Learning / 集団学習アルゴリズムを用いた地位指数推定モデルの精度および汎化性の検証

المؤلفون: Kazuhiro TANAKA, Norifumi SUZUKI, Yasushi MINOWA, 田中和博, 美濃羽靖, 鈴木倫史

المصدر: 森林計画学会誌 / Japanese Journal of Forest Planning. 2009, 42(1):53

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20

Academic Journal

Tree marking techniques in the stand-based forest management system : A case analysis at a secondary forest dominated by Betula maximowicziana / 林分施業法の選木技術 : ウダイカンバ二次林の事例(会員研究発表論文)

المؤلفون: Kenji FUKUSHI, Shinichi TATSUMI, Takashi INOUE, Tohru NAKAJIMA, Toshiaki OWARI, Toshihide HIROKAWA, Yasushi MINOWA, Yoshinori EGUCHI, 中島徹, 井上崇, 尾張敏章, 広川俊英, 江口由典, 福士憲司, 美濃羽靖, 辰巳晋一

المصدر: 北方森林研究 / Boreal Forest Research. 2012, 60:77

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