Results 221 to 230 of about 3,278,052 (298)

Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation

Advanced Intelligent Systems, EarlyView.
Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen, Bo Fu, Dawn Tilbury, Kira Barton   +3 more
wiley   +1 more source

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis. Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are limited by the requirement of time and experienced staff as well as intra‐ and interrater variability.
Thomas Deimel, Paul J. Weiser, Martin Urschler, Christian Payer, Peter Mandl, Georg Langs, Daniel Aletaha   +6 more
wiley   +1 more source

Research on traffic flow prediction of progressive graph convolutional networks based on spatio-temporal self-attention mechanism. [PDF]

Sci Rep
Liu C, Kou Y, Wang S, Xie Z, Su Y.
europepmc   +1 more source

Visualizing ESG Signaling Through User‐Generated Content: A Strategic Foresight Framework for Symbolic Legitimacy in Hospitality Branding

Business Strategy and the Environment, EarlyView.
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham, Pabitra Mitra, Sujoy Bhattacharya   +2 more
wiley   +1 more source

Knowledge graph convolutional networks with user preferences for course recommendation. [PDF]

Sci Rep
Hua Z, Yang J, Ji W.
europepmc   +1 more source

Mitigating the Heat: The Role of AI Technology in Shielding Corporate Environmental Performance From Extreme Temperatures—Difference‐in‐Differences Evidence From Chinese Listed Firms

Business Strategy and the Environment, EarlyView.
ABSTRACT Extreme heat has become a recurring operational challenge that disrupts production, raises energy and maintenance needs, and makes it harder for firms to sustain environmental performance. However, it remains less clear whether AI‐related capability is associated with firms' ability to maintain environmental performance under recurring extreme‐
Shangze Dai, Xinde James Ji, Kai Huang
wiley   +1 more source

Drug-induced liver injury prediction based on graph convolutional networks and toxicogenomics. [PDF]

PLoS Comput Biol
Xiao T, Liu Y, Hu K, Guo K, Zhang M, Wang T, Lei W, Wang W, Zhou S, Hu Y, Su R.   +10 more
europepmc   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

Chemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn, Dominik P. Goldstein, Niels Seijsener, Kevin Dao, Ge H. M. Driessen, Artur M. Schweidtmann   +5 more
wiley   +1 more source

Network attack knowledge inference with graph convolutional networks and convolutional 2D KG embeddings. [PDF]

Sci Rep
Ren W, Zhang H, Lei Y.
europepmc   +1 more source

Experimental methods in chemical engineering: Cyclic voltammetry—CV

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Cyclic voltammetry (CV) is a foundational electroanalytical technique for investigating redox behaviour and evaluating material performance across fields such as molecular electrochemistry, electrocatalysis, sensing, and energy storage. Despite its widespread use, a gap remains between formal electrochemical theory and the practical data ...
Yasser Matos‐Peralta, Christopher Panaritis, JoElen Hagler, Clara Santato, Gregory S. Patience   +4 more
wiley   +1 more source