monogamy 发表于 2025-3-23 12:13:34

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魅力 发表于 2025-3-23 15:44:22

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CALL 发表于 2025-3-23 19:53:01

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有毒 发表于 2025-3-24 01:03:15

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出生 发表于 2025-3-24 06:18:17

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Biguanides 发表于 2025-3-24 07:58:55

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Fester 发表于 2025-3-24 14:29:45

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ODIUM 发表于 2025-3-24 16:07:36

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角斗士 发表于 2025-3-24 21:59:09

Paul R. Ferguson,Glenys J. Fergusonrift and interference problem of E-nose. The framework consists of two parts: (1) domain correction (DC) that makes the distributions of two domains close; (2) adaptive extreme learning machine (AELM) that learns a transferable classifier at decision level. This method is motivated by the idea of tr

歌剧等 发表于 2025-3-24 23:11:54

Invention, Innovation and Diffusion, for each sensor may be extracted; second, consider that the manual labeling of artificial olfaction data in real-time detection is difficult and hardly impossible, semi-supervised learning strategy is expected to be a breakthrough and overcome the problem of insufficient labeled data in artificial
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查看完整版本: Titlebook: Electronic Nose: Algorithmic Challenges; Lei Zhang,Fengchun Tian,David Zhang Book 2018 Springer Nature Singapore Pte Ltd. 2018 Electronic