When biomedical researchers need to test their latest ideas, they often turn to engineered human tissue that mimics the ...
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Interrupting encoder training in diffusion models enables more efficient generative AI
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
Abstract: Micro-expression recognition is an important problem in the field of computer vision and affective computing. To improve the accuracy of micro-expression recognition, the study proposes a ...
Abstract: To solve the multipath planning with capacity-constrained problems (MPCCP), this paper proposes a solution based on the network flow model, utilizing the network flow-ripple spreading ...
All our projects implement compliance with environmental emission control requirements and network cybersecurity standards ...
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