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Titlebook: 16th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Hugo Sanjurjo González,Iker Pastor L

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發(fā)表于 2025-3-25 03:53:31 | 只看該作者
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發(fā)表于 2025-3-25 10:23:11 | 只看該作者
Volume Visualization of 3D Tomographies882, root mean square error (RMSE) of 96.9700 and mean absolute percentage error (MAPE) of 3.8803%. In the case of forecasts up to 12?months ahead, the results were a MAD of 293.4832, MSE of 284499.4718, root mean square error of 533.3849 and MAPE of 15.7366%. The results obtained were compared with
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發(fā)表于 2025-3-25 14:22:17 | 只看該作者
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發(fā)表于 2025-3-25 17:56:39 | 只看該作者
Volume Visualization of 3D Tomographieses of average apartment prices per 1?m.. However, we performed clustering on derived variables: the monthly value of elasticity and a modified price-volume indicator. The obtained clusters are graphically represented. In addition, the structure of market changes over time is economically interpreted
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發(fā)表于 2025-3-25 20:23:48 | 只看該作者
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發(fā)表于 2025-3-26 01:14:32 | 只看該作者
16th International Conference on Soft Computing Models in Industrial and Environmental Applications
27#
發(fā)表于 2025-3-26 04:29:17 | 只看該作者
28#
發(fā)表于 2025-3-26 10:31:10 | 只看該作者
Postoperative Respiratory Managementctions to provide which specific game mechanics may be the most suitable for each user. As a key component of this framework, different algorithms can be used for adaptive gamification. Therefore, we tested the performance of different algorithms under simulated conditions to assess the adequateness for small online communities.
29#
發(fā)表于 2025-3-26 16:30:04 | 只看該作者
38. Tagung, 23.–28. September 1986, Würzburgturbine-monitorization tool, based on the UMAP method, combined with clustering using HDBSCAN and unsupervised .. It can be considered as a first step towards a data-centered approach to gas turbine management within the industry 4.0 framework, based on the mining of turbine sensor data.
30#
發(fā)表于 2025-3-26 18:14:21 | 只看該作者
https://doi.org/10.1007/978-3-642-83800-2clustering techniques are validated in conjunction with unsupervised exploratory projection ones. This novel proposal is validated on an open and up-to-date dataset containing information about the software performance of a collaborative robot.
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