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Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B

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41#
發(fā)表于 2025-3-28 16:09:16 | 只看該作者
42#
發(fā)表于 2025-3-28 20:39:36 | 只看該作者
Man To Wong,Xiangjian He,Hung Nguyen,Wei-Chang Yehriculture, symbioses of plants and microbes are thoroughly covered, as are the biodegradation of pesticides and health risks associated with wastewater irrigation. Lastly, traditional soil knowledge is discussed as a key to our sustainable presence in this world..978-3-642-26261-6978-3-642-05076-3Series ISSN 1613-3382 Series E-ISSN 2196-4831
43#
發(fā)表于 2025-3-28 23:38:46 | 只看該作者
0302-9743 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. .The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major
44#
發(fā)表于 2025-3-29 04:48:46 | 只看該作者
45#
發(fā)表于 2025-3-29 07:19:28 | 只看該作者
Does Social Network always Promote Entrepreneurial Intentions? Part II: Empirical Analysis desirability and entrepreneurial feasibility are two mediators between network heterogeneity and entrepreneurial intension. This work has also found that social networks sometimes may become an obstacle for College-graduate Village Official to start a business. The theoretical and practical implications of the study’s findings are also discussed.
46#
發(fā)表于 2025-3-29 11:31:58 | 只看該作者
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發(fā)表于 2025-3-29 19:31:06 | 只看該作者
48#
發(fā)表于 2025-3-29 21:47:26 | 只看該作者
Color Image Segmentation Based on Regional Saliencyence at local area. The introduction of salient factors enhances the accuracy of the pixels clustering for region segment. Experiment results carried on Berkeley database and comparison with human segmentation results demonstrated that our algorithm has better performance on nature color images segmentation.
49#
發(fā)表于 2025-3-30 01:12:15 | 只看該作者
Mass Classification in Digitized Mammograms Using Texture Features and Artificial Neural Networkracy of 86% was achieved for ANN. The test result using the four significant features is better than the full set of twelve features. The proposed method is compared with some existing works and promising results are obtained.
50#
發(fā)表于 2025-3-30 05:59:46 | 只看該作者
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