Construction and application of a novel urban knowledge model with extended historical and cultural semantics. [PDF]
Wang C, Xu C, Wang Y, He J, Pan W, Xu X.
europepmc +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
ESC-YOLOv8: An enhanced deep learning framework for semantic understanding of single-line diagram imagery. [PDF]
Bhanbhro H +6 more
europepmc +1 more source
An operational and axiomatic semantics for non-determinism and sequence points in C
Robbert Krebbers
semanticscholar +1 more source
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
Brain-imager: a multimodal framework for image reconstruction and captioning from human brain activity. [PDF]
Meng L, Song Z, Lu J.
europepmc +1 more source
Bialgebraic methods and modal logic in structural operational semantics
Bartek Klin
semanticscholar +1 more source
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
Object-guided contrastive language-image pre-training for zero-shot target recognition. [PDF]
Zheng C.
europepmc +1 more source
Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
wiley +1 more source

