Abstract: Addressing degraded weather conditions plays a vital role in practical applications. Many existing restoration approaches are limited to specific weather types, which limits their ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
Microscopic imaging is crucial in modern medicine as an indispensable tool for researchers and clinicians. This imaging technology allows detailed examination of biological structures at the cellular ...
Through a comprehensive evaluation of model complexity and number of parameters, it was determined that the overall performance of the proposed model is the best when eight group convolutions are used ...
The powerful predictive capabilities of artificial intelligence (AI) machine learning provide neuroscientists with valuable information for brain disease research such as Alzheimer’s Disease and other ...
Abstract: In the absence of a well-log-based low-frequency model, a broadband inversion strategy with a low-frequency model calculated in complicated frequency-domain inversion can successfully mine ...
The computer vision domain has seen significant advancement in recent years thanks to the prevalence of self-attention. Self-attention modules have proved to be extremely useful in natural language ...
Convolution /model.0/conv/Conv 1 1 images /model.0/conv/Conv_output_0 0=32 1=6 3=2 4=2 5=1 6=3456 8=2 Swish /model.0/act/Mul 1 1 /model.0/conv/Conv_output_0 /model.0 ...
The Standard Model is the modern physical understanding of three of the four forces of nature: electromagnetism, the strong nuclear force and the weak nuclear force. When you purchase through links on ...
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