Results 191 to 200 of about 110,849 (310)
Extending the range of graph neural networks with global encodings. [PDF]
Caruso A +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
Spatiotemporal weather forecasting via multi-scale graph neural networks and latent diffusion models. [PDF]
Wu Z.
europepmc +1 more source
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source
LSTM-attention-guided graph neural networks for integrated genotype-Environment modeling in maize yield prediction. [PDF]
Morshedian A, Domaratzki M.
europepmc +1 more source
Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks
Message-passing neural networks (MPNNs) on molecular graphs generate continuous and differentiable encodings of small molecules with state-of-the-art performance on protein-ligand complex scoring tasks.
Zachary J., Gale-Day +3 more
core +1 more source
Graph Convolutional Neural Network [PDF]
Michael Edwards, Xianghua Xie
openaire +2 more sources
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +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
Unified protein-small molecule graph neural networks for binding site prediction. [PDF]
Wang J, Dokholyan NV.
europepmc +1 more source

