Methodologies articles

Detection of Martian dust storms using mask regional convolutional neural networks

Rasha Alshehhi, Claus Gebhardt

Classification of Imbalanced Cloud Image Data Using Deep Neural Networks-Performance Improvement Through a Data Science Competition-

Matsuoka D

Development of high-resolution future ocean regional projection datasets for coastal applications in Japan

Nishikawa S, Wakamatsu T, Ishizaki H, Sakamoto K, Tanaka Y, Tsujino H, Yamanaka G, Kamachi M, Ishikawa Y

Visualization of the morphology and mode of occurrence of Cenomanian rudists within drillcore by X-ray CT scanning and 3D modeling

Yamanaka M, Sano S, Al Zaabi H, Fujioka H, Iryu Y

Ocean carbon pump decomposition and its application to CMIP5 earth system model simulations

Akira Oka

Estimation of temporal and spatial variation of sound speed in ocean from GNSS-A measurements for observation using moored buoy

Kinugasa N, Tadokoro K, Kato T, Terada Y

Automated collection of single species of microfossils using a deep learning–micromanipulator system

Itaki T, Taira Y, Kuwamori N, Maebayashi T, Takeshima S, Toya K

Development of a system for efficient content-based retrieval to analyze large volumes of climate data

Nakagawa Y, Onoue Y, Kawahara S, Araki F, Koyamada K, Matsuoka D, Ishikawa Y, Fujita M, Sugimoto S, Okada Y, Kawazoe S, Watanabe S, Ishii M, Mizuta R, Murata A, Kawase H

New method of temperature and conductivity sensor calibration with improved efficiency for screening SBE41 CTD on Argo floats

Hosoda S, Hirano M, Hashimukai T, Asai S, Kawakami N

Theoretical basis of the algorithms and early phase results of the GCOM-C (Shikisai) SGLI cloud products

Nakajima TY, Ishida H, Nagao TM, Hori M, Letu H, Higuchi R, Tamaru N, Imoto N, Yamazaki A