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Titlebook: Wine Chemistry and Biochemistry; M. Victoria Moreno-Arribas,M. Carmen Polo Book 2009 Springer-Verlag New York 2009 Amino acid.Polysacchari

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發(fā)表于 2025-3-23 09:42:04 | 只看該作者
lable for analytical data processing, but also indicate the most appropriate treatment to apply, depending on the information required, illustrating withexamples throughout the chapter from enological literature..978-1-4419-2548-0978-0-387-74118-5
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發(fā)表于 2025-3-23 17:47:22 | 只看該作者
Antonella Costantini,Emilia García-Moruno,M. Victoria Moreno-Arribas
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發(fā)表于 2025-3-23 19:36:22 | 只看該作者
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Use of Enological Additives for Colloid and Tartrate Salt Stabilization in White Wines and for Impro
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發(fā)表于 2025-3-24 10:08:38 | 只看該作者
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發(fā)表于 2025-3-24 12:54:56 | 只看該作者
using linear models. In order to better understand the intuition behind a linear model, they were also studied from geometrical perspective. A linear model needs to be trained on a training dataset. To this end, there must be a way to assess how good is a linear model in classification of training
18#
發(fā)表于 2025-3-24 16:07:09 | 只看該作者
Fernando Zamoraf misusing organizations’ computer systems, networks, infrastructure resources, and others? The number and the sophistication of cyberattacks on computer systems, networks, and infrastructure resources is on the rise, and cyberattackers sniffing around for vulnerabilities. Furthermore, cyberattacker
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發(fā)表于 2025-3-24 22:31:19 | 只看該作者
20#
發(fā)表于 2025-3-25 02:49:46 | 只看該作者
Rafael A. Peinado,Juan C. Mauricior paradigm for AI and the correct way to achieve “human level machine intelligence”. To present day, this approach hasn’t prevailed, but in the light of some recent tendencies in AI development it can gain traction. The “black-box property” of the currently predominant method—deep learning—has recen
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