output
20162026
most citedOn the limits of coercivity in permanent magnets

38 citations

38 papers

cs.NI2026

Host-Driven Flowlet Balancing with Segment Routing over IPv6

Ryo Nakamura, Hiroki Kano, Tomoko Okuzawa

This paper proposes a fully host-driven method for flowlet balancing with Segment Routing over IPv6 (SRv6). In modern data center networks, load balancing plays a pivotal role in e…

cs.LG2026

Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams

Kota Nakamura, Koki Kawabata, Yasuko Matsubara +1

Given real-time sensor data streams obtained from machines, how can we continuously predict when a machine failure will occur? This work aims to continuously forecast the timing of…

cs.RO2026★ 5 cited

Evaluation of Impression Difference of a Domestic Mobile Manipulator with Autonomous and/or Remote Control in Fetch-and-Carry Tasks

Takashi Yamamoto, Hiroaki Yaguchi, Shohei Kato +1

A single service robot can present two distinct agencies: its onboard autonomy and an operator-mediated agency, yet users experience them through one physical body. We formalize th…

stat.ME2025

A Primer on Bayesian Parameter Estimation and Model Selection for Battery Simulators

Yannick Kuhn, Masaki Adachi, Micha Philipp +2

Physics-based battery modelling has emerged to accelerate battery materials discovery and performance assessment. Its success, however, is still hindered by difficulties in alignin…

cond-mat.mtrl-sci2025

Impact of Lattice Distortions on Magnetocrystalline Anisotropy and Magnetization in (NdPr)FeB Alloys

Haruki Okumura, Takashi Miyake, Taro Fukazawa +6

NdFeB -- a widely used permanent magnet -- has magnetocrystalline anisotropy constants that differ between the bulk and interface regions. This study explores the effe…

cs.RO2025

ARMimic: Learning Robotic Manipulation from Passive Human Demonstrations in Augmented Reality

Rohan Walia, Yusheng Wang, Ralf Römer +3

Imitation learning is a powerful paradigm for robot skill acquisition, yet conventional demonstration methods--such as kinesthetic teaching and teleoperation--are cumbersome, hardw…