Results 151 to 160 of about 190,435 (331)
304 Computation of flow in a stenosed blood vessel in a Cartesian coordinate system
Nami Matsunaga, Hao Liu, Ryutaro Himeno
openalex +2 more sources
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Computation of flow in a blood vessel with prescribed movement in a Cartesian coordinate system
Nami Matsunaga, Hao Liu, Ryutaro Himeno
openalex +2 more sources
Automatic Test and Sorting System for the Slide Valve Body of Oil Control Valve Based on Cartesian Coordinate Robot [PDF]
Pingping Liu +3 more
openalex +1 more source
Anchoring Morphological Representations Unlocks Latent Proprioception in Soft Robots
The authors present ProSoRo, a proprioceptive soft robot that anchors morphological states to a single internal reference frame and employs a multimodal variational autoencoder for crossmodal inference, revealing latent proprioception that enables accurate force and shape estimation, interpretable morphing primitives, robust sim‐to‐real transfer, and ...
Xudong Han +4 more
wiley +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
This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it examines core principles, real‐world applications, and ongoing challenges.
Lingchen Kong, Yaoyao Fiona Zhao
wiley +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source

