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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3130306
Abstract: Continuous monitoring and accurate spatiotemporal groundwater storage change predictions can help support sustainable development and efficient groundwater resources management. In this study, remote sensing-based data were used to develop two deep learning predictive models, long…
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Keywords:
storage;
deep learning;
spatiotemporal groundwater;
data deep ... See more keywords
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Published in 2017 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.2017.1700246
Abstract: Recent advances in networking, caching, and computing have significant impacts on the developments of smart cities. Nevertheless, these important enabling technologies have traditionally been studied separately in the existing works on smart cities. In this…
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Keywords:
big data;
learning approach;
reinforcement learning;
data deep ... See more keywords
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Published in 2022 at "mSystems"
DOI: 10.1128/msystems.00035-22
Abstract: Next-generation sequencing has been essential to the global response to the COVID-19 pandemic. As of January 2022, nearly 7 million severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequences are available to researchers in public databases.…
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Keywords:
understanding making;
deep understanding;
mapping data;
sequence ... See more keywords
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Published in 2017 at "Doklady Earth Sciences"
DOI: 10.1134/s1028334x1708013x
Abstract: Based on a complex study of the upper crust structure in the southern margin of Kochkor basin (Northern Tien Shan), including study of the structure of the Cenozoic sedimentary cover, the deep geoelectrical structure, the…
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Keywords:
data deep;
structure south;
structure;
new data ... See more keywords