悬崖 发表于 2025-3-26 21:17:41
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Robust Adaptive SOMs Challenges in a Varied Datasets Analytics the conventional SOM and is able to efficiently outperform the SOM in obtaining the winner neuron in a lower learning process time. To verify the improved performance of the RA-SOM, it was compared against the performance of other versions of the SOM algorithm, namely GF-SOM, PLSOM, and PLSOM2. Thealcohol-abuse 发表于 2025-3-27 08:12:37
Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors desired part quality. In this work, the authors are studying some specific sensors and their behaviour while the machine is printing a job to understand relationships among them and how they overall govern the printing process. Also, attempts are being made to create print profiles by appropriately细胞学 发表于 2025-3-27 11:20:33
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http://reply.papertrans.cn/15/1497/149652/149652_39.png表示向前 发表于 2025-3-28 14:19:21
https://doi.org/10.1007/978-1-59745-243-4e and properties), especially for satellite image time series analysis. These infrastructures take advantage of big data technologies and methods to store, process and analyze the big amount of Earth observation satellite images freely available nowadays. Recently, EO Data Cubes infrastructures and