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Titlebook: Handbook on Craniofacial Superimposition; The MEPROCS Project Sergio Damas,Oscar Cordón,Oscar Ibá?ez Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if ap

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樓主: centipede
21#
發(fā)表于 2025-3-25 07:07:42 | 只看該作者
22#
發(fā)表于 2025-3-25 08:02:02 | 只看該作者
Sergio Damas,Oscar Cordón,Oscar Ibá?ezof the various system components as well as a large interface area with the ambient environment. These basic requirements impose a series of design challenges, such as pressure-tolerant mechanical stability, hydrodynamic efficiency, corrosion and fouling protection, but this interface also offers a
23#
發(fā)表于 2025-3-25 13:33:54 | 只看該作者
Sergio Damas,Oscar Cordón,Oscar Ibá?ez modern artificial intelligence procedures?.This book provides exclusive insight into the development of a new generation of robotic underwater technologies. .Deploying and using even the most simple and robust mechanical tools is presenting a challenge, and is often associated with an enormous amou
24#
發(fā)表于 2025-3-25 18:35:14 | 只看該作者
Sergio Damas,Oscar Cordón,Oscar Ibá?ezing machine learning.Manipulates the system to achieve the dThis book describes the practical application of artificial intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time serie
25#
發(fā)表于 2025-3-25 20:44:44 | 只看該作者
Sergio Damas,Oscar Cordón,Oscar Ibá?ez points and marketing strategies. They hope to make decisions more reasonably and rapidly with the help of big data, especially they want to combine a large amount of comment text information by customers. Therefore, a new method is needed to solve this problem. This paper takes the data of pacifier
26#
發(fā)表于 2025-3-26 03:05:30 | 只看該作者
27#
發(fā)表于 2025-3-26 04:32:15 | 只看該作者
28#
發(fā)表于 2025-3-26 08:40:13 | 只看該作者
Sergio Damas,Oscar Cordón,Oscar Ibá?ez the prediction model of octane loss in industrial production. In view of the characteristics of numerous variables and complex relationship of variables in gasoline refining data, t-SNE and K-Means algorithms are used in this paper to do data reduction and clustering analysis, and then collinear ma
29#
發(fā)表于 2025-3-26 15:57:16 | 只看該作者
30#
發(fā)表于 2025-3-26 20:35:15 | 只看該作者
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