Results 191 to 200 of about 229,000 (311)
A cross-attentive multi-task graph learning framework for chemical reaction modeling. [PDF]
Astero M, Li A, Casiraghi E, Rousu J.
europepmc +1 more source
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
A multi-task heterogeneous graph learning with cross-attention fusion for robust recommendation. [PDF]
Nazari A, Mansoorizadeh M, Khotanlou H.
europepmc +1 more source
Enhancing Federated Learning for Financial Sector via Graph Learning and Language Models [PDF]
In the modern financial sector, the need for robust machine learning models is increasingly critical, yet privacy regulations and competitive concerns often make centralized data inaccessible.
DAMOUN, Farouk
core
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
Dual-channel graph learning reveals similarity and complementarity in protein-protein interaction networks. [PDF]
Tang T +7 more
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
When does global attention help: a unified empirical study on atomistic graph learning. [PDF]
Chowdhury A, Pasini ML.
europepmc +1 more source
Expressive Pooling for Graph Neural Networks [PDF]
Considerable efforts have been dedicated to exploring methods that enhance the expressiveness of graph neural networks. Current endeavors primarily focus on modifying the message-passing process to overcome limitations imposed by the Weisfeiler-Leman ...
Roth, Andreas +3 more
core
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

