Results 181 to 190 of about 103,776 (269)
Application of virtual assembly for complex mechanical structures based on digital twin technology. [PDF]
Chuyun J, Mu L.
europepmc +1 more source
GA: MCFFS method architecture. Pathological images are processed by the multi‐level feature information fusion (MLFF) method and the multi‐scale feature map fusion strategy to achieve the recognition result of cell nuclei. The MLFF module contains convolution blocks, spatial self‐attention, and atrous spatial pyramid pooling.
Yingqing Lu +3 more
wiley +1 more source
Study on the standardization method of radiotelephony communication in low-altitude airspace based on BART. [PDF]
Pan W, Han B, Jiang P.
europepmc +1 more source
Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao +5 more
wiley +1 more source
medicX-KG: a knowledge graph for pharmacists' drug information needs. [PDF]
Farrugia L +3 more
europepmc +1 more source
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng +4 more
wiley +1 more source
Secondary Operation Risk Assessment Method Integrating Graph Convolutional Networks and Semantic Embeddings. [PDF]
Zhu P, Li Y, Xu P, Li P, Zhao Z, Li G.
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
Generative Sign-Description Prompts with Multi-Positive Contrastive Learning for Sign Language Recognition. [PDF]
Liang S +6 more
europepmc +1 more source

