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Naoki Ogawa
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2020 – today
- 2024
- [j7]Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity. J. Robotics Mechatronics 36(2): 353-364 (2024) - 2023
- [j6]Keita Shimizu, Kazuya Murakami, Naoki Ogawa, Hideko Akai, Jun Shintake:
Polyvinyl chloride-added dibutyl adipate for high-performance electrohydrodynamic pumps. Frontiers Robotics AI 10 (2023) - [j5]Naoki Ogawa, Masateru Ohta, Mitsunori Ikeguchi:
Conformational Selectivity of ITK Inhibitors: Insights from Molecular Dynamics Simulations. J. Chem. Inf. Model. 63(24): 7860-7872 (2023) - [j4]Takaaki Higashi, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning. Sensors 23(3): 1657 (2023) - [c10]Yuya Moroto, Rintaro Yanagi, Naoki Ogawa, Kyohei Kamikawa, Keigo Sakurai, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression. ACM Multimedia 2023: 9399-9401 - 2022
- [j3]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection. Sensors 22(1): 382 (2022) - [i1]Tomoyuki Yokouchi, Satoshi Sugimoto, Bivas Rana, Shinichiro Seki, Naoki Ogawa, Yuki Shiomi, Shinya Kasai, Yoshichika Otani:
Pattern recognition with neuromorphic computing using magnetic-field induced dynamics of skyrmions. CoRR abs/2204.13260 (2022) - 2021
- [j2]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' Knowledge. IEEE Access 9: 65234-65245 (2021) - [j1]Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, Miki Haseyama:
Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection. J. Imaging 7(12): 273 (2021) - [c9]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data. ICCE-TW 2021: 1-2 - [c8]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures. ICIP 2021: 1014-1018 - 2020
- [c7]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Distress Level Classification of Road Infrastructures via CNN Generating Attention Map. LifeTech 2020: 97-98
2010 – 2019
- 2019
- [c6]Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation. GCCE 2019: 764-765 - 2013
- [c5]Takahiro Kenmotsu, Naoki Ogawa, Rinko Kubota, Kenji Yoshida, Yukihiro Kagawa, Yoshiaki Watanabe, Yuko Yoshikawa, Kenichi Yoshikawa:
Double-strand breaks on a genomic DNA caused by ultrasound: Evaluation by single DNA observation. MHS 2013: 1-3 - 2010
- [c4]Mitsuru Sakiyama, Kazuki Hasegawa, Yuya Sato, Kazuhiro Watanabe, Naoki Ogawa, Mayumi Matsushita, Hidehiko Hayashi, Akinori Minazuki:
A Study on Knowledge-Creation of "Moshiokuri" among Nurses. ACIS-ICIS 2010: 427-432 - [c3]Minami Shibagaki, Naoki Ogawa, Minoru Hashimoto:
Modeling of a contraction type PVC gel actuator. ROBIO 2010: 1434-1439
2000 – 2009
- 2009
- [c2]Naoki Ogawa, Minoru Hashimoto, Midori Takasaki, Toshihiro Hirai:
Characteristics evaluation of PVC gel actuators. IROS 2009: 2898-2903 - 2008
- [c1]Misaki Yamano, Naoki Ogawa, Minoru Hashimoto, Midori Takasaki, Toshihiro Hirai:
A contraction type soft actuator using poly vinyl chloride gel. ROBIO 2008: 745-750
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