Results 191 to 200 of about 57,646 (303)
This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu +4 more
wiley +1 more source
Integrating Large Language Models into Traffic Systems: Integration Levels, Capability Boundaries, and an Information-Theoretic Perspective. [PDF]
Tu W, Li J, Xiao F, Wang X, Lu Y.
europepmc +1 more source
Proceedings Eight Workshop on Structural Operational Semantics 2011
Michel Reniers, Paweł Sobociński
openalex +1 more source
Special issue on structural operational semantics
van Glabbeek, Rob, Mosses, Peter D.
openaire +1 more source
MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li +10 more
wiley +1 more source
FSD-YOLO: A Fusion Framework for Region Segmentation and Deformable Object Detection in Container Yards. [PDF]
Dai L, Liang Z, Feng Q, Xie S, Li H.
europepmc +1 more source
Structural Operational Semantics for Functional and Security Verification of Pipelined Processors [PDF]
Robert J. Colvin, Roger C. Su
openalex +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
Emergency Operation Scheme Generation for Urban Rail Transit Train Door Systems Using Retrieval-Augmented Large Language Models. [PDF]
Huang L, Liu Z, Yu C, Zhu T, Yan B.
europepmc +1 more source
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen +4 more
wiley +1 more source

