Rchr
J-GLOBAL ID：202401007471214370
Update date: Aug. 26, 2024
Neettiyath Umesh
ニータヤッツ ウメシュ | Neettiyath Umesh
Affiliation and department：
Homepage URL (1)：
https://www.linkedin.com/in/umeshneettiyath
Research theme for competitive and other funds (1)：
- 2022 - 2025 Multimodal inference of coral and seagrass distribution using combined seafloor imagery and satellite remote sensing data
Papers (11)：
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Umesh Neettiyath, Harumi Sugimatsu, Tetsu Koike, Kazunori Nagano, Tamaki Ura, Blair Thornton. Multirobot Multimodal Deep Sea Surveys: Use in Detailed Estimation of Manganese Crust Distribution. IEEE Robotics & Automation Magazine. 2024
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Umesh Neettiyath, Mehul Sangekar, Kazunori Nagano, Tetsu Koike, Blair Thornton, Harumi Sugimatsu, Hikari Hino, Akiko Suzuki. Enhancing the Coverage of Underwater Robot Based Mn-crust Survey Area by Using a Multibeam Sonar. 2023 IEEE International Symposium on Underwater Technology, UT 2023. 2023
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Yuki Sekimori, Umesh Neettiyath, Chihaya Kawamura, Sehwa Chun, Toshihiro Maki. Observability analysis of acoustic positioning for multi-agent underwater vehicles. 2023 IEEE International Symposium on Underwater Technology, UT 2023. 2023
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Umesh Neettiyath, Harumi Sugimatsu, Blair Thornton. Seafloor Classification Based on an AUV Based Sub-Bottom Acoustic Probe Data for Mn-Crust Survey. Oceans Conference Record (IEEE). 2023
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Umesh Neettiyath, Blair Thornton, Harumi Sugimatsu, Takayuki Sunaga, Junya Sakamoto, Hikari Hino. Automatic Detection of Buried Mn-crust Layers Using a Sub-bottom Acoustic Probe from AUV Based Surveys. Oceans Conference Record (IEEE). 2022
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MISC (1)：
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Neettiyath Umesh, Sugimatsu Harumi, Koike Tetsu, Nagano Kazunori, Ura Tamaki, Blair Thornton. 2023A-OS4-5 Deep-sea mineral resource survey by multiple Platforms-Toward the scalable estimation of Cobalt Rich Ferromanganese Crust distribution-. Conference Proceedings The Japan Society of Naval Architects and Ocean Engineers. 2023. 37. 37. 191-196
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