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
Characterization of the heterogeneity in SARS-CoV-2 fitness dynamics via graph representation learning. [PDF]
Wang Z +14 more
europepmc +1 more source
Signed graph representation learning for functional-to-structural brain network mapping. [PDF]
Tang H +9 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
Hierarchical intertwined graph representation learning for skeleton-based action recognition. [PDF]
Zhang X, Tan C, Yuan Y, Yan J.
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
Graph representation learning via enhanced GNNs and transformers. [PDF]
Mu H, Zhou C, Yu Q, Mu Q.
europepmc +1 more source
Drug response prediction using graph representation learning and Laplacian feature selection. [PDF]
Xie M, Lei X, Zhong J, Ouyang J, Li G.
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
Identifying nutraceutical targets to treat polycystic ovary syndrome using graph representation learning. [PDF]
Hanassab S +10 more
europepmc +1 more source

