Browsing by Subject "Big Data"
Now showing items 1-10 of 10
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(2023-07-24)This study examines the impact of green infrastructure (GI) on the recovery and resilience of local businesses in flood-prone areas. As flood events become increasingly frequent in coastal regions of the United States, the ...
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(2021-09-24)The risks and rewards of big data research at Texas A&M University are undocumented and the conveyance of the current practices and needs of researchers across disciplines is difficult to codify. This qualitative needs ...
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(2014-10-15)Modeling and mining with massive volumes of data have become popular in recent decades. However, it is difficult to analyze on a single commodity computer because the size of data is too large. Parallel computing is widely ...
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(2021-07-08)Soil moisture (SM) and evapotranspiration (ET) are key climate variables governing environmental processes from local to global scales. The global burgeoning of SM and ET datasets holds a significant potential in improving ...
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(2019-04-10)The electrical grid is among the most critical of infrastructures, as it both assures high quality of life and promotes economic growth. Loss of power leads to major economic, social, and environmental impacts. Annual ...
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(2020-09-16)Ever since its introduction, Sorting Network has been an active field of study. They can be efficiently parallelized and pipelined by modern CPUs. In addition, its data-oblivious nature and simple structure allow it to be ...
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(2021-11-24)The proliferation of smart meters in the grids has resulted in an explosion of large energy datasets. Processing such big data is challenging and usually takes a longer time than the requirement of a short-term load forecast. ...
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(2017-12-11)Emerging technologies and digital devices provide us with increasingly large volume of data with respect to both the sample size and the number of features. To explore the benefits of massive data sets, scalable statistical ...
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(2014-05-29)Variable selection plays an important role for the high dimensional data analysis. In this work, we first propose a Bayesian variable selection approach for ultra-high dimensional linear regression based on the strategy ...
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(2019-05-01)The internet brought humanity closer together in ways that were never thought possible and reaching loved ones around the globe became instantaneous. Due to this increase in the ease communicating, the world saw the amounts ...