Results 171 to 180 of about 405,787 (272)
Node classification methods of complex network are mostly realized based on node representation learned by the graph neural network, the graph neural network encodes local structure information of complex networks through neighborhood aggregation ...
XU Peiling, WANG Yu, TAN Yanli
doaj
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source
Entity relationship extraction method based on dependency parsing and graph neural networks. [PDF]
Wei F +6 more
europepmc +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Knowledge-based question answering using graph neural networks and contextual language representations. [PDF]
Samir M, Fathy N, Gad W.
europepmc +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Temporal social network modeling of mobile connectivity data with graph neural networks. [PDF]
Jaskari J +5 more
europepmc +1 more source
Grip and Grasp: Lizard Claw Inspired Robotic Manipulators
Our study identifies the most effective lizard claw shape for use as an end effector in a bioinspired robotic manipulator. By examining key geometric features and combining them into comparative indices, the Crotaphytus collaris claw is found to be the best fit.
Hyeon Lee +4 more
wiley +1 more source
Multilabel feature selection using graph neural networks and differential evolution optimization. [PDF]
Pan N.
europepmc +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source

