Remaining useful life prediction of lithium-ion batteries via spatial attention TLSTM and dilated CNN with evolutionary optimization. [PDF]
Chen S, Fang X.
europepmc +1 more source
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
Multi-level channel-spatial attention and light-weight scale-fusion network (MCSLF-Net): multi-level channel-spatial attention and light-weight scale-fusion transformer for 3D brain tumor segmentation. [PDF]
Zhou M, Li J, Guo Y.
europepmc +1 more source
It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti +11 more
wiley +1 more source
SADiff: Coronary Artery Segmentation in CT Angiography Using Spatial Attention and Diffusion Model. [PDF]
Xu R, Dai L, Wang J, Zhang L, Wang Y.
europepmc +1 more source
Enhanced SSVEP Bionic Spelling via xLSTM-Based Deep Learning with Spatial Attention and Filter Bank Techniques. [PDF]
Dong L +5 more
europepmc +1 more source
PCAFA-Net: A Physically Guided Network for Underwater Image Enhancement with Frequency-Spatial Attention. [PDF]
Cheng K +5 more
europepmc +1 more source
Allocation of spatial attention in human visual cortex as a function of endogenous cue validity. [PDF]
Narhi-Martinez W +3 more
europepmc +1 more source
Multi-spatial-attention U-Net: a novel framework for automated gallbladder segmentation on CT images. [PDF]
Lou H +12 more
europepmc +1 more source
A Dense Pyramidal Residual Network with a Tandem Spectral-Spatial Attention Mechanism for Hyperspectral Image Classification. [PDF]
Guan Y, Li Z, Wang N.
europepmc +1 more source

