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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Ajith Abraham,Paramartha Dutta,Soumi Dutta Conference p

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樓主: 游牧
31#
發(fā)表于 2025-3-26 22:34:45 | 只看該作者
32#
發(fā)表于 2025-3-27 03:00:06 | 只看該作者
Optical Interactions in Magnetic Materials,ase-based reasoning methods. CF algorithms use similarity measures for calculating similarity between users. In this paper, we propose a novel framework which deterministically switches between the CF algorithms based on sparsity to improve accuracy of recommendation.
33#
發(fā)表于 2025-3-27 07:55:49 | 只看該作者
2194-5357 rs, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security..978-981-13-1497-1978-981-13-1498-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
34#
發(fā)表于 2025-3-27 09:31:02 | 只看該作者
https://doi.org/10.1007/978-1-4615-0387-3normalized difference between DEM and DTM. Finally, the pixels of different objects are classified using spatial model. The experimental results are very promising. To identify terrain and non-terrain points from the raw LiDAR data an automated filtering algorithm is developed with the classification.
35#
發(fā)表于 2025-3-27 14:54:14 | 只看該作者
https://doi.org/10.1007/978-81-322-2812-7 voting and mean accuracy combining techniques. Similarly, Type-II architecture with EngEnt and AAR feature sets provides most consistent performance for both majority voting and mean accuracy combining techniques. However, the Type-III ensemble architecture contributes highest result . with K-Nearest Neighbor . classifier among all three types.
36#
發(fā)表于 2025-3-27 20:55:13 | 只看該作者
37#
發(fā)表于 2025-3-28 01:17:05 | 只看該作者
38#
發(fā)表于 2025-3-28 04:47:39 | 只看該作者
Automatic Geospatial Objects Classification from Satellite Imagesnormalized difference between DEM and DTM. Finally, the pixels of different objects are classified using spatial model. The experimental results are very promising. To identify terrain and non-terrain points from the raw LiDAR data an automated filtering algorithm is developed with the classification.
39#
發(fā)表于 2025-3-28 09:32:06 | 只看該作者
40#
發(fā)表于 2025-3-28 11:27:20 | 只看該作者
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