AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, personalization, and predictive performance seamlessly.
A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
From simple enhancements to hallucinated facial features, modern phones choose how our memories will look. You might love the ...
A recent study published in Big Earth Data demonstrates how social media data, combined with deep learning, can significantly improve the detection of traffic events, offering transportation agencies ...
Abstract: Accurate drug-target interaction prediction is vital for drug discovery and optimization. Traditional experimental methods, while effective, are time-intensive and costly. HyperGCN-DTI, a ...
1 The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China 2 College of Information Engineering, Henan University of Science and ...
Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...
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Abstract: To address the significant decline in the accuracy of Specific Emitter Identification(SEI) under wireless channel, we propose a novel method that combines a domain adversarial network with ...
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