Results 211 to 220 of about 55,131 (288)
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
Performance evaluation of GPU-based parallel sorting algorithms. [PDF]
Ala'anzy MA +3 more
europepmc +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
An Efficient GPU-Accelerated High-Order Upwind Rotated Lattice Boltzmann Flux Solver for Simulating Three-Dimensional Compressible Flows with Strong Shock Waves. [PDF]
Wang Y, Wang Q, Wang Y.
europepmc +1 more source
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko +4 more
wiley +1 more source
SPAC: a scalable and integrated enterprise platform for single-cell spatial analysis. [PDF]
Liu F +9 more
europepmc +1 more source
GPU acceleration of optical mapping algorithm for cardiac electrophysiology. [PDF]
Meng P +5 more
europepmc +1 more source
Runtime-Robust Edge Inference System with Masking-Based Partial Update on Dynamic Reconfigurable FPGA. [PDF]
Kang M, Park D.
europepmc +1 more source
FastSCODE: an accelerated SCODE algorithm for inferring gene regulatory networks on manycore processors. [PDF]
Sung R, Woo S, Shin D, Kim J, Lee D.
europepmc +1 more source
Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source

