975 citations
- The University of TokyoJP429 papers
- Kyoto UniversityJP151 papers
- RIKENJP142 papers
- Tokyo Institute of TechnologyJP134 papers
- High Energy Accelerator Research OrganizationJP100 papers
- Tohoku UniversityJP100 papers
- Nagoya UniversityJP97 papers
- The University of OsakaJP96 papers
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- Japan Science and Technology AgencyJP68 papers
- UNSW SydneyAU63 papers
- Centre National de la Recherche ScientifiqueFR62 papers
2,391 papers
Correlation Between Nighttime Light and Various Statistical Indicators in Japan
Shoichi Otomo
This manuscript is an English translation and extended version of a paper originally published in Japanese(otomo 2021) Recent years have seen a rapid expansion in applying satellit…
Qu-Trefoil: Large-Scale Quantum Circuit Simulator Working on FPGA With SATA Storages
Kaijie Wei, Hideharu Amano, Ryohei Niwase +2
Quantum circuits are fundamental components of quantum computing, and state-vector-based quantum circuit simulation is a widely used technique for tracking qubit behavior throughou…
Small Area Estimation under Spatial Regimes: Spatially Clustered Fay-Herriot Models for Agricultural Indicators
Paolo Maranzano, Raffaele Mattera, Shonosuke Sugasawa
Area-level small area estimation (SAE) models, such as the Fay--Herriot (FH) model, borrow strength across domains through covariates and random effects, but they can struggle when…
Analysis of Regional Disparities of Location of Sports Facilities and Sports Education Using Scientific Satellite Data
Shoichi Otomo
This manuscript is an English translation and extended version of a paper originally published in Japanese (Otomo, 2024). With the advancement of information and communication tech…
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of COVID-19 chest CT volumes using improved 3D MLP-Mixer. Novel coronavirus disease 2019 (COVID-19) spreads over the world, c…
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of chest CT volumes based on likelihood of COVID-19 cases. Novel coronavirus disease 2019 (COVID-19) spreads over the world,…