Results 171 to 180 of about 857,569 (295)
Channel reconstruction and dual attention dynamic fusion for remote sensing image semantic segmentation. [PDF]
Wang X +8 more
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Associative and categorical priming in a word-picture paradigm: a diffusion model analysis. [PDF]
Gao S, Marberg I, Berger A, Voss A.
europepmc +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Enhancing adversarial resilience in semantic caching for secure retrieval augmented generation systems. [PDF]
Afiffy M, Fakhr MW, Maghraby FA.
europepmc +1 more source
Common vocabulary to represent omic data and experiments to facilitate data integration and ...
openaire +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
The influence of prime characteristics in semantic priming. [PDF]
Mangat A, Taikh A, Gagne C, Spalding TL.
europepmc +1 more source
Final version of the openMOS common semantic model. This model will be published in the formal identified by D3.3. It will cover all the core definitions required to allow a seamless integration of diverse plug&produce devices within the factory automation domain.
openaire +1 more source

