Results 181 to 190 of about 1,421,171 (369)

A Random Sampling O(n) Force-calculation Algorithm for Graph Layouts

, 2019
Robert Gove
openalex   +1 more source

Probabilistic Graph Layout for Uncertain Network Visualization

IEEE Transactions on Visualization and Computer Graphics, 2017
C. Schulz, Arlind Nocaj, Jochen Görtler, O. Deussen, U. Brandes, D. Weiskopf   +5 more
semanticscholar   +1 more source

Optisense: Computational Optimization for Strain Sensor Placement in Wearable Motion Tracking Systems

Advanced Intelligent Systems, EarlyView.
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim, Juhyung Ahn, Jieun Seo, Steve Park, Joo Yong Sim   +4 more
wiley   +1 more source

Engineering shortest paths and layout algorithms for large graphs

, 2005
Thomas Willhalm
openalex   +1 more source

Iterative Data Curation for Machine Learning‐Based Inverse Design of Active Composite Plates for Four‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +4 more
wiley   +1 more source

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking

Advanced Intelligent Systems, EarlyView.
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

Pangenome graph layout by Path-Guided Stochastic Gradient Descent. [PDF]

Bioinformatics
Heumos S, Guarracino A, Schmelzle JM, Li J, Zhang Z, Hagmann J, Nahnsen S, Prins P, Garrison E.   +8 more
europepmc   +1 more source

Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts

Amit Agarwal, Priyaranjan Pattnayak, Bhargava Kumar, Hitesh Patel   +3 more
openalex   +1 more source

Visual Representation of Multiple Associations in Data using Constrained Graph Layout

, 2009
Weijia Xu, Jaya Sreevalsan‐Nair
openalex   +1 more source

Orientation and layout problems on graphs, with applications [PDF]

, 2010
Emiliano Traversi
openalex   +1 more source