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Titlebook: Data Science; Theory, Algorithms, Gyanendra K. Verma,Badal Soni,Alexandre C. B. Ramo Book 2021 The Editor(s) (if applicable) and The Autho

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31#
發(fā)表于 2025-3-27 00:00:04 | 只看該作者
Ripeness Evaluation of Tobacco Leaves for Automatic Harvesting: An Approach Based on Combination of spots on a unit area of a leaf. Further, a simple thresholding classifier is designed for the purpose of classification. Superiorities of the proposed model in terms of effectiveness and robustness are established empirically through extensive experiments.
32#
發(fā)表于 2025-3-27 03:54:03 | 只看該作者
Book 2021d in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems woul
33#
發(fā)表于 2025-3-27 08:05:09 | 只看該作者
34#
發(fā)表于 2025-3-27 11:11:21 | 只看該作者
https://doi.org/10.1007/978-1-4757-1871-3re segmentation methods. This paper introduces Grey Level Co-occurrence Matrix (GLCM) that proves to be a good discriminator for the purpose of identication of different textural features in SAR Imagery. With this technique features present in SAR images such as water, vegetation and urban area in land is detected using different orientations.
35#
發(fā)表于 2025-3-27 14:07:46 | 只看該作者
36#
發(fā)表于 2025-3-27 18:03:52 | 只看該作者
Transition Economies and the WTO of view. For this, all overlapping pixels corresponding to a particular location are classified whether they are part of smooth region or an edge. Simulation results clearly prove the efficacy of the algorithm proposed in this paper.
37#
發(fā)表于 2025-3-28 01:49:13 | 只看該作者
38#
發(fā)表于 2025-3-28 06:00:08 | 只看該作者
39#
發(fā)表于 2025-3-28 07:14:17 | 只看該作者
40#
發(fā)表于 2025-3-28 11:18:18 | 只看該作者
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