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Shigeho Kakehi

Japan Fisheries Research and Education Agency

SCHOLARLY PAPERS

2

DOWNLOADS

92

TOTAL CITATIONS

0

Scholarly Papers (2)

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1.

In-Situ Verification of a Deep-Learning-Based Larval Identification System for the Pacific Oyster Magallana Gigas

Number of pages: 31 Posted: 21 Dec 2023
Shigeho Kakehi, Takayuki Sekiuchi, Kosuke Suzuki, Takayuki Koizumi, Ken-ichi Ueda, Mai Togawa, Akihiro Moriyama, Soichiro Ueno, Yutaka Takeuchi and Hiroshi Ito
Japan Fisheries Research and Education Agency, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 49 (1,074,648)

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Pacific oyster, larval identification, object detection, deep learning, identification accuracy, Matsushima Bay

2.

Classification of Water Masses in the Subarctic Pacific and Adjacent Seas Using Satellite-Derived Light Absorption Spectra of Chromophoric Dissolved Organic Matter

Number of pages: 68 Posted: 21 Dec 2023
Joji Oida, Toru Hirawake, Youhei Yamashita, Hiroto Abe, Jun Nishioka, Hisatomo Waga, Daiki Nomura and Shigeho Kakehi
affiliation not provided to SSRN, National Institute of Polar Research, Hokkaido University, Hokkaido University, Hokkaido University, University of Alaska Fairbanks, Hokkaido University and Japan Fisheries Research and Education Agency
Downloads 43 (1,183,237)

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Water mass, Chromophoric dissolved organic matter (CDOM), ocean color remote sensing, Supervised machine learning technique, Chlorophyll-a