output
20062026
most citedProperties of Nuclear and Neutron Matter and Thermodynamic Consistency in a Nonlinear Mean-field Approximation

14 citations

19 papers

cond-mat.mtrl-sci2026

Substrate-dependent electrical transport in individual single-walled carbon nanotubes grown across SiO and hexagonal boron nitride

Yuanjia Liu, Taiki Inoue, Yoshihiro Kobayashi

The electronic transport properties of carbon nanotubes (CNTs) are strongly affected by their surrounding environment, making the underlying substrate a critical factor for device…

cs.CV2026

PlantPose: Universal Plant Skeleton Estimation via Tree-constrained Graph Generation

Xinpeng Liu, Hiroaki Santo, Yosuke Toda +1

Accurate estimation of plant skeletal structures (e.g., branching structures) from images is essential for smart agriculture and plant science. Unlike human skeletons with fixed to…

eess.SP2026

Vector Similarity Search-Based MCS Selection in Massive Multi-User MIMO-OFDM

Fuga Kobayashi, Takumi Takahashi, Shinsuke Ibi +3

This paper proposes a novel modulation and coding scheme (MCS) selection framework that integrates mutual information (MI) prediction based on vector similarity search (VSS) for ma…

cs.CV2026

High-fidelity Multi-view Normal Integration with Scale-encoded Neural Surface Representation

Tongyu Yang, Heng Guo, Yasuyuki Matsushita +3

Previous multi-view normal integration methods typically sample a single ray per pixel, without considering the spatial area covered by each pixel, which varies with camera intrins…

nucl-ex2026

Influence of secondary neutrons on alpha-particle induced reaction cross section measurement below the Coulomb barrier

Yamato Fujii, Naohiko Otuka, Kenta Sugihara +3

The influence of the secondary neutrons on measurements of alpha-particle activation cross sections below the Coulomb barrier was studied for the Pt(,x)$^\mathrm{…

eess.SP2025★ 1 cited

Graph Signal Denoising Using Regularization by Denoising and Its Parameter Estimation

Hayate Kojima, Hiroshi Higashi, Yuichi Tanaka

In this paper, we propose an interpretable denoising method for graph signals using regularization by denoising (RED). RED is a technique developed for image restoration that uses…