International conference proceedings - Kobayashi Yosuke

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  1. Tomato Fruit Evolution and Maturity estimation from RGB Time-lapse Observation via Modern Structure from Motion and Instance Segmentation

    Stefan Baar, Yosuke Kobayashi, Shinya Watanabe，Proc. of 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)，2024.11，Himeji

  2. Combining Close Range UAVs and Gaussian Splatting for High-Speed Tomato Leaf Size Estimation and Counting

    Stefan Baar, Yosuke Kobayashi, Shinya Watanabe，Proc of 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)，2024.10，Kitakyusyu

  3. Continuous Displacement Monitoring of Residential Area by Ground-Based SAR

    Yuta Izumi, Motoyuki Sato, Fathin Nurzaman, Koki Urano, Shima Kawamura, Yosuke Kobayashi，Proc of IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium，2024.07

  4. Feature Extraction of Flame Images Using Self-Attention Model

    Koki Hashiyada, Stefan Baar,Kentaro Sakakibara and Nobuhiro Yazawa and Yosuke Kobayashi，Proc. The 12th IEEE Global Conference on Consumer Electronics (GCCE 2023)，2023.10

  5. APPLICATION OF ELASTICNET MODELING FOR MANAGEMENT OF RESERVOIR UNDER UNCERTAINTY OF INFLOWS

    Shoma Wakasaya, Makoto Nakatsugawa and Yosuke Kobayashi，Proceedings of the 40th IAHR World Congress，2023.08

  6. A Patient Voice Detection Method by Continuous Learning Adapted to Various Types of Noise from a Magnetic Resonance Imaging Device

    Kanade Wakamatsu, Kenji Muto, Yosuke Kobayashi，Proc. 29th International Congress on Sound and Vibration，2023.07，Prague

  7. NOISY BOAT DISCRIMINATION METHOD USING MULTIMODAL DEEP LEARNING WITH ENVIRONMENTAL SOUND AND VIDEO

    Kohei Niwayama, Kenji Muto, Yosuke Kobayashi，Proc. seatuc 2023，2023.02

  8. DEVELOPMENT OF THE AI-BASED TECHNOLOGY FOR ESTIMATING THE STRUCTURE AND CONDITION OF CONVENTIONAL GEOTHERMAL RESERVOIRS

    Yusuke Yamaya, Norihiro Watanabe, Hiroshi Asanuma, Yosuke Kobayashi, Kazuya Ishitsuka, Mitsuru Utsugi, Keiichi Ishizu, Tatsuya Kajiwara, Takeshi Sugimoto, Ryoichi Saito, Anna Suzuki, Keigo Kitamura, Toru Mogi and Yusuke Ohta，Proc. GRE2022，2022.12

  9. Tomato Fruit Maturity Estimation From RGB Images

    Stefan Baar, Yosuke Kobayashi, Tatsuro Horie, Kazuhiko Sato and Shinya Watanabe，Proc. The 11th IEEE Global Conference on Consumer Electronics (GCCE 2022)，(p.628 ～ 629)，2022.10

  10. Convolutional Recurrent Neural Network-Based Boat Detection Method for Wind Noise Condition

    Kohei Niwayama, Kenji Muto, and Yosuke Kobayashi，Proc. The 11th IEEE Global Conference on Consumer Electronics (GCCE 2022)，(p.3 ～ 4)，2022.10

  11. Boat Noise Detection Using a Gated Recurrent Unit for Boat Notification System

    Haruki Yamaguchi, Kenji Muto, Yosuke Kobayashi，Proc. The 9th IEEE Global Conference on Consumer Electronics (GCCE 2020)，(p.603 ～ 604)，2020.10，Kobe

  12. Research on dam inflow prediction during severe flood using machine learning methods

    Nakatsugawa, M., Sakamoto, R., and Kobayashi, Y., ，Proc. 22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division (IAHR-APD 2020)，2020.09，Sapporo

  13. Introducing Music Score Conversion Application: from music notes to numbers

    Masako ASANO, Yosuke Kobayashi, Yuta kojima, Aya Fujita，Proc. World Congress of Music Therapy 2020，2020.07

  14. Comparison of STOI-type Intermediate Feature for Listening Difficulty Rating Prediction Model

    Keita Noguch, Yosuke Kobayashi, Jay Kishigami, and Kiyohiro Kurisu，Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019)，(p.885 ～ 886)，2019.10，Osaka

  15. Comparison of the Number of Training Data for Pix2Pix Voice Conversion System

    Hirokazu Akadomari, Yuhi Sato,and Yosuke Kobayashi，Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019)，(p.864 ～ 865)，2019.10，Osaka

  16. Encoding Content-Based Similarity in IPFS Pointer Names

    Ryota Nagaoka, Jay Kishigami and Yosuke Kobayashi，Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019)，(p.1142 ～ 1144)，2019.10，Osaka

  17. Prototype of Farm Environment Sensing System for State Estimation of Agricultural Crops

    Hiromu Watanabe, Yosuke Kobayashi, Tatsuro Horie and Kazuhiko Sato，Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019)，(p.322 ～ 323)，2019.10，Osaka

  18. Mobile Leaf Identification System using CNN applied to plants in Hokkaido

    Tatsuhiro Akiyama, Yosuke Kobayashi, Yuichi Sasaki, Kaori Sasaki, Takashi Kawaguchi and Jay Kishigami，Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019)，(p.333 ～ 334)，2019.10，Osaka

  19. HMM-based Speech Synthesizer for EasilyUnderstandable Speech Broadcasting

    Hirokazu Akadomari, Kosuke Ishikawa, Yosuke Kobayashi, Kengo Ohta and Junichi Kishigami， Proc. The 7th IEEE Global Conference on Consumer Electronics (GCCE 2018)，(p.714 ～ 715)，2018.10，Nara, Japan

  20. Listening Difficulty Meter Using Machine Learning for Assessment of Public-Address Systems

    Keita Noguch, Yosuke Kobayashi, Jay Kishigami and Kiyohiro Kurisu， Proc. The 7th IEEE Global Conference on Consumer Electronics (GCCE 2018)，(p.471 ～ 472)，2018.10，Nara, Japan

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