From the 3 of 18 papers with an AI index.
4 citations
- The University of TokyoJP5 papers
- Nagoya UniversityJP4 papers
- Institute of Science Tokyo3 papers
- Hiroshima UniversityJP2 papers
- Juntendo UniversityJP2 papers
- Nara Institute of Science and TechnologyJP2 papers
- National Institute of InformaticsJP2 papers
- Tohoku UniversityJP2 papers
- Borough of Manhattan Community CollegeUS1 paper
- British Columbia Institute of TechnologyCA1 paper
- Bunkyo UniversityJP1 paper
- California State University SystemUS1 paper
18 papers
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…
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,…
Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals
Shuntaro Suzuki, Shunya Nagashima, Komei Sugiura
The paper introduces Cortical-SSM, a deep state space model that decodes motor imagery EEG signals by integrating temporal, spatial, and frequency information, achieving higher acc…
Causality Constraints on Black Hole Thermodynamics in Nonlinear Electrodynamics
Yoshihiko Abe, Maxime Médevielle, Toshifumi Noumi +1
The paper investigates how enforcing causality (no superluminal propagation) in nonlinear electrodynamics leads to monotonic relationships between the mass‑to‑charge ratio and entr…