DBGCN: Dual-branch Graph Convolutional Network for organ instance inference on sparsely labeled 3D plant data. [PDF]
Li D, Zhou Z, Yang S, Wen W.
europepmc +1 more source
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 +2 more
wiley +1 more source
Innovative application of a traffic-prediction spatio-temporal graph convolutional network for dengue disease forecasting. [PDF]
Siabi N +4 more
europepmc +1 more source
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
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RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition. [PDF]
Han Y +5 more
europepmc +1 more source
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 +5 more
wiley +1 more source
OptiSyn: an interpretable, multi-omics-driven graph convolutional network framework for synergy-oriented drug combination design in disease treatment. [PDF]
Shi Y +9 more
europepmc +1 more source
Experimental methods in chemical engineering: Cyclic voltammetry—CV
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 +4 more
wiley +1 more source
An adaptive spatiotemporal dynamic graph convolutional network for traffic prediction. [PDF]
Xiao Z, Shen Q, Li C, Li D, Liu Q.
europepmc +1 more source
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source

