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Weizheng Jiang

As seen in: PLOS ONE, MDPI
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Articles

Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration

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By Weizheng Jiang, Dongqin Li, Chun Fu Liu
| PLOS ONE
Citation: Jiang W, Li D, Liu C (2025) Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration. PLoS One 20(7): e0326558. https://doi.org/10.1371/journal.pone.0326558 Editor: Simon Dang, Nong Lam University, VIET NAM Received: December 28, 2024; Accepted: May 31, 2025; Published: July 2, 2025 Copyright: © 2025 Jiang et al.
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A Time-Frequency Domain Mixed Attention-Based Approach for Classifying Wood-Boring Insect Feeding Vibration Signals Using a Deep Learning Model

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By Zhibo Chen, Haiyan Zhang, Weizheng Jiang
| MDPI
1. Introduction Forests play a crucial role in sustaining life on Earth [1], ensuring human livelihoods and income. Forestry aims to maximize economic benefits while ensuring the continuous provision of ecological, social, and cultural services [2]. However, sustainability is threatened by various factors, including biological, non-biological, and anthropogenic elements [3].
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