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Published in 2017 at "Natural Hazards"
DOI: 10.1007/s11069-017-2964-6
Abstract: Storm surges are abnormal coastal sea level events caused by meteorological conditions such as tropical cyclones. They have the potential to cause widespread loss of life and financial damage and have done so on many…
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Keywords:
wind;
storm;
wind forcing;
sensed data ... See more keywords
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Published in 2019 at "Geoderma"
DOI: 10.1016/j.geoderma.2018.11.024
Abstract: Abstract The soil ripening process can be defined as change in the soil/sediment matrix from exposure to air in previously inundated areas. Early pedogenesis crystalline iron oxide is one of the most important diagnostic criteria…
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Keywords:
sensed data;
soil;
remotely sensed;
crystalline iron ... See more keywords
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Published in 2017 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.01.034
Abstract: Abstract Massive amounts of remotely sensed data are being generated at an unprecedented rate, offering new opportunities for data-driven scientific discovery in the Earth sciences and related domains. However, due to the sheer volume of…
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Keywords:
unsupervised detection;
sensed data;
detection contextual;
remotely sensed ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997409
Abstract: Event detection by discovering frequent itemsets is very popular in sensor network communities. However, the recorded data is often a probability rather than a determined value in a really productive environment as sensed data is…
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Keywords:
tex math;
frequent itemset;
maximal frequent;
sensed data ... See more keywords
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Published in 2018 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.2018.1700557
Abstract: The rise of sensor deployments, uptake of the Internet of Things (IoT), and new manifestations of sensing systems (e.g., crowd sensing, M2M-driven sensing, cloud sensing) has resulted in a tide of sensed data that is…
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Keywords:
sensed data;
challenges progressive;
big sensed;
sensing systems ... See more keywords
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Published in 2020 at "Engineering Geology"
DOI: 10.17073/2500-0632-2019-4-309-317
Abstract: This paper presents the experiences obtained in the application of Principal Component Analysis (PCA) method to map hydrothermal minerals based on remotely sensed data. In this study, Sentinel-2B MultiSpectral Instrument (MSI) image is used to…
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Keywords:
vinh phuc;
sensed data;
hydrothermal minerals;
based remotely ... See more keywords