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Titlebook: Big Data for Remote Sensing: Visualization, Analysis and Interpretation; Digital Earth and Sm Nilanjan Dey,Chintan Bhatt,Amira S. Ashour Bo

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發(fā)表于 2025-3-23 13:19:49 | 只看該作者
Introduction to Fluorescence Sensinge and some case studies of specific applications are also shown. Finally, some general conclusions are presented paying attention to the spatial nature of RS big data, which gives it a special added value in the new digital era.
12#
發(fā)表于 2025-3-23 15:04:42 | 只看該作者
Big Data Approach for Managing the Information from Genomics, Proteomics, and Wireless Sensing in Enitor a person at home. The information provided by the pathologic profiles detected and clustered thanks to big data algorithms, is exploited to calibrate the surveillance at home, personalize alarms and give adapted preventive and therapeutic education.
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發(fā)表于 2025-3-23 19:24:10 | 只看該作者
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發(fā)表于 2025-3-23 23:47:23 | 只看該作者
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發(fā)表于 2025-3-24 06:05:30 | 只看該作者
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發(fā)表于 2025-3-24 06:40:36 | 只看該作者
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發(fā)表于 2025-3-24 12:29:49 | 只看該作者
book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervis978-3-030-07895-9978-3-319-89923-7
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發(fā)表于 2025-3-24 17:43:45 | 只看該作者
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發(fā)表于 2025-3-24 23:05:21 | 只看該作者
Earth Science [Big] Data Analytics,a provide added value in this context. Furthermore, this chapter demonstrates various big data tools which can be mapped with various techniques to be used for experimenting earth science datasets, processed, and exploited for different earth science applications. In order to illustrate the aforemen
20#
發(fā)表于 2025-3-25 01:16:54 | 只看該作者
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