Search Results

Deep learning convolutional neural networks with three dimensional depth sensor imaging in scoliosis detection --An algorithm to reduce the detection of false porisive cases and mild cases--.

• Authors : Terufumi Kokabu^1,2 ; Hideki Shigematsu³; Hiroyuki Tanaka⁴

• Source: Journal of Spine Research. 2024, Vol. 15 Issue 11, p1341-1347. 7p.

Record details

Full-endoscopic Posterior Cervical Foraminotomy のラーニングカーブに関する検討.

• Authors : 米山励子¹ ; 大森一生¹; 李徳哲¹

• Source: Journal of Spine Research. 2024, Vol. 15 Issue 8, p1067-1072. 6p.

Record details

Automated Measurement of Spinal Alignment for Scoliosis Using Deep Learning.

• Authors : Nozomu Nakajima¹ ; Takahito Fujimori²; Yuki Suzuki³

• Source: Journal of Spine Research. 2024, Vol. 15 Issue 11, p1313-1320. 8p.

Record details

学習時のディストラクタ刺激の類似性とカテゴリは 物体の記憶に影響するか.

• Authors : 太田直斗¹; 北神慎司²

• Source: Japanese Journal of Cognitive Psychology. 2024, Vol. 22 Issue 1, p29-39. 11p.

Record details

個別最適な学びと協働的な学びに基づく心理教育の実践・研究の方法論 に関する展望.

• Authors : 新井　雅¹

• Source: Japanese Journal of Developmental Psychology / Hattatsu Shinrigaku Kenkyū. Dec2024, Vol. 35 Issue 4, p240-255. 16p.

Record details

First-principles based data-driven strain engineering for ferroelectrics via active machine learning: A nonlinear piezoelectric constitutive equation

• Authors : Susumu MINAMI; Yasuaki MARUYAMA; Yoshimasa ABE

Subjects: ferroelectrics; machine learning; piezoelectric properties

• Source: Nihon Kikai Gakkai ronbunshu, Vol 91, Iss 941, Pp 24-00184-24-00184 (2025)

Record details

サツマイモ栽培における未利用資源「ホヤ殻」 施用の影響：SDGsを意識した学習教材の検討.

• Authors : 御手洗洋蔵¹ ; 阿部建太²; 谷口（山田）亜樹子²

• Source: Food Agriculture Environment (F.A.E.). 2024, Issue 37, p15-20. 6p.

Record details

Visual Assessment of Learning Support Points and Validation of Effects of Learning Content Related to Harvesting and Sorting of Yuzu Fruit.

• Authors : Tomoaki Kitazawa^1,2; Yuu Tanimoto^1,3 ; Takuya Hirose^1,4

• Source: Agricultural Information Research / Nougyou Jouhou Kenkyuu. 2024, Vol. 33 Issue 2, p65-72. 8p.

Record details

Abnormality detection of sliding surface and exploration suitable sensor data for condition monitoring by calculating contribution using machine learning

• Authors : Ryo NAKASHIMA; Tomomi HONDA; Tomohiko KON

Subjects: tribology; machine learning; condition monitoring

• Source: Nihon Kikai Gakkai ronbunshu, Vol 90, Iss 939, Pp 24-00042-24-00042 (2024)

Record details

学習成果の可視化に関する試案（5） --［-n］［刃］に関するアンケート調査の結果を中心にー

• Authors : 大島吉郎¹

• Source: Bulletin of Daito Bunka University. Humanities / Daito Bunka Daigaku Kiyo. Jimbun Kagaku. 2025, Vol. 63, p127-140. 14p.

Record details