A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source
Biological validity, test-retest reliability, and behavioral relevance of the single-subject brain volumetric similarity network. [PDF]
Kim M, Kim YJ, Chun MM, Yoo K.
europepmc +1 more source
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
Subtyping insomnia disorder with a population graph attention autoencoder: revealing two distinct biotypes. [PDF]
Zhang H +5 more
europepmc +1 more source
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Longitudinal analysis of hippocampal subfield atrophy and network centrality associated with cognitive decline in Alzheimer's disease progression. [PDF]
Lim S, Lee Y.
europepmc +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
Correction to "Natural Gas and Biogenic CH<sub>4</sub> Emissions from an Urban Center, Sakai, Japan, Based on Simultaneous Measurements of CH<sub>4</sub> and C<sub>2</sub>H<sub>6</sub> fluxes Based on the Eddy Covariance Method". [PDF]
Ueyama M +4 more
europepmc +1 more source
Insight into Genome-Wide Associations of Growth Trajectories Using a Hierarchical Non-Linear Mixed Model. [PDF]
Zhang Y, Yang L, Cui W, Yang R.
europepmc +1 more source

