Defect" manufacturing has transitioned from a lofty goal to a baseline requirement. As production speeds reach unprecedented levels and components shrink to microscopic scales, traditional manual ...
The digital economy is increasingly driven by intelligent systems that process enormous volumes of behavioral information. Platforms across entertainment, finance, and iGaming rely on machine learning ...
Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...
However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Read more about AI-powered peptide discovery could transform fight against drug-resistant superbugs on Devdiscourse ...
Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...
1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...
Cues predictive of target locations orient covert attention, improving perceptual performance. Studies have focused on attentional influences on neural activity, but how cues activate attention and ...
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